Volume index - Journal index - Article index - Map ---- Back

Comunicar Journal 55: The Media Sphere. Controversies in Public Life (Vol. 26 - 2018)

A science mapping analysis of ‘Communication’ WoS subject category (1980-2013)


Julio Montero-Díaz

Manuel-Jesús Cobo

María Gutiérrez-Salcedo

Francisco Segado-Boj

Enrique Herrera-Viedma


Communication Research field has an extraordinary growth pattern, indeed bigger than other research fields. In order to extract knowledge from such amount, intelligent techniques are needed. In such a way, using bibliometric techniques, the evolution of the conceptual, social and intellectual aspects of this research field could be analysed, and hence, understood. Although the communication research field has been widely analysed using bibliometric techniques and science mapping tools, a conceptual analysis of the whole communication research field is still needed. Therefore, this article introduces the first science mapping analysis in the communication research field based on the Web of Science Subject Category "Communication," showing its conceptual structure and scientific evolution. SciMAT, a bibliometric science mapping software tool based on co-word analysis and h-index, is applied using a sample of 33.627 research documents from 1980 to 2013 published in 74 main communication journals indexed in the Journal Citation Reports of the Web of Science. The results show that research conducted in the communication research is concentrated on the following sixteen disconnected thematic areas: “children”, “psychological aspects”, “news”, “audience”, “surveys”, “advertising”, “health”, “relationship”, “gender”, “discourse”, “telephone communication”, “public relation”, “telecommunications”, “public opinion”, “activism” and “internet”. These areas have progressively disconnected among them, which drives to a Communication field relatively fragmented.


Communication subject category, Web of Science, bibliometric, science mapping, citations, h-index, bibliometric indicators, co-word analysis

PDF file in Spanish

PDF file in English

1. Introduction

As pointed by Rogers (1994), communication is a professional field and also a scientific discipline. It has an extraordinary growth rate (Park & Leydesdorff, 2009), even more rapid than in biotech or computer sciences (Koivisto & Thomas, 2011). Moreover, Web of Science contains a category entitled “Communications” where different related communication journals are grouped. Since there is a huge amount of communication studies, the analysis of the conceptual evolution of the field must be done using intelligent tools, such as bibliometric and science mapping analysis.

Bibliometrics is a relevant resource to evaluate and analyse the scholarly production in the different areas of Science and Knowledge (Martínez, Cobo, Herrera, & Herrera-Viedma, 2015). They allow assessing the bibliographic production developed at different levels and by different agents, from nations to individuals, including institutions or journals (Martínez, Herrera, López-Gijón, & Herrera-Viedma, 2014).

Science mapping and performance analysis stand out as the main bibliometric methods used in this sense (Noyons, Moed, & Luwel, 1999). Performance analysis deals with the scientific impact and citation reached by different actors such as universities or scientists. Science mapping draws a representation of the structure of scientific research as well as its evolution at the intellectual, theoretical or social spheres.

These methods have been applied to analyse the structure of Communication through different levels such as authorship (Barnett & Danawoski, 1992), associations (Barnett & Danawoski, 1992; Chung, Lee, Barnett, & Kim, 2009), institutions (Koivisto & Thomas, 2011), participation on Doctoral commitees (White, 1999), the influence of gender on received quotations (Knobloch-Westerwick & Glynn, 2013) and the relationship of communication with other areas (Barnett, Huh, Kim, & Park, 2011; So, 1988). When approaching the scientific production of the field, previous studies have selected papers from specific journals (Hakanen & Wolfram, 1995; Rogers, 1999; Leydesdorff & Probst, 2009; Poor, 2009; Schönbach & Lauf, 2006; Smith, 2000), from specific geographical areas (De-Filippo, 2013; Fernández-Quijada & Masip, 2013; So, 2010), published by certain authors (Lin & Kaid, 2000; Lauf, 2005), dealing with specific topics (Chung, Barnett, Kim, & Lackaff, D, 2013; Míguez-González, Baamonde-Silva, & Corbacho-Valencia, 2014; Repiso, Torres & Delgado, 2011; Tai, 2009) or quoted by flagship journals (Park & Leydesdorff, 2009).

This paper introduces the first science mapping conceptual analysis of the entire communication category, showing the field’s structure, evolution and new trends. To do that, the communication research production (1980-2013) indexed at the Journal Citation Reports (JCR), and Web of Science (WoS) is examined using the SciMAT software tool (Cobo, López-Herrera, Herrera-Viedma, & Herrera, 2012).

Communication research field Research from the communication field has been traditionally divided into two disciplines (Barnett & al., 2011; Rogers, 1999): on the one hand mass communication and the other hand interpersonal communication. This issue is evidenced by the degree to which both disciplines cite each other (Rogers, 1999). It has also been described as a lack of communication among the communication researchers (Paisley, 1984; So, 1988) who in fact, use separate literature.

Nowadays, there is a great debate about the structure of communication research field and its fragmentation (Corner, 2013). Some authors argue that communication research field is an incomplete aggregation of atomized research domains (Park & Leydesdorff, 2009), and therefore, the field cannot be divided into mass and interpersonal communication (Barnett & al., 2011). Moreover, communication is influenced by other fields such as psychology, political science, and sociology (Barnett & al., 2011; Leydesdorff & Probst, 2009). For example, (Barnett & Danawoski, 1992) there are claims for a more complex structure, finding three different dimensions within the field: communication/interpersonal, humanistic/scientific, and theoretical/applied studies. This more complex structure is also supported by Barnett & al. (Barnett & al., 2011). In fact, communication could be split into various academic entities (Park & Leydesdorff, 2009), such as political communication (Lin & Kaid, 2000), technical communication (Smith, 2000), agenda-setting (Tai, 2009), speech communication, advertising, etc. Communication research field cannot be addressed as a stable set, but it is on the way towards the establishment of a specialty of its own (Leydesdorff & Probst, 2009).

This work provides maps to be useful for research policy actions as well as to science sociologists. It may also be useful for communication researchers who may need a science tree of their discipline to research career orientation purposes.

The current paper aims to draw the evolution of the Communication research field through the following research questions:

• RQ1. Which are the main research themes in Communication?

• RQ2. How central and developed are those themes?

• RQ3. Which are the most important topics according to production and impact?

• RQ4. How have those themes evolved since 1980?

2. Material and methods

SciMAT (Cobo & al., 2012) synthesizes most of the assets of the existing science mapping software tools (Cobo, López-Herrera, Herrera-Viedma, & Herrera, 2011b). It was developed following the system designed by Cobo, López-Herrera, Herrera-Viedma and Herrera (2011a), based on the h-index (Hirsch, 2005) and on co-word analysis (Callon, Courtial, Turner, & Bauin, 1983). Performance analysis and science mapping are thus simultaneously used to scrutinize a research field by detecting and visualizing its conceptual subdomains as well as its thematic evolution. A longitudinal co-word science mapping analysis carried out with SciMAT is based on four stages (Cobo & al., 2011a):

• Detection of the research themes. The keywords extracted from the documents of each period are used to build a whole network based on co-occurrence. That is, in the network, the nodes will represent the keywords, and there will be an edge between two nodes if both keywords co-appear in a set of documents. Then, a clustering algorithm (Coulter, Monarch, & Konda, 1998) is applied to a normalized co-word network in each period to identify the existing research themes. A cluster or theme will represent a set of keywords strongly related to each other.

• Visualizing research themes and thematic network. A graphic representation of the identified topics is drawn through two different instruments: strategic diagram and thematic network. Following Callon, Courtial, and Laville (1991), two dimensions are used to characterize each topic: centrality and density. The former measures the external interaction among each network and can be understood as the relevance value of the topic. The latter measures the internal cohesion of the network, and it should be interpreted as a measure of the theme’s development. Through centrality and density, a research field can be represented in a two-axis strategic diagram which draws four different categories:

a) Upper-right quadrant. Topics placed in this category are identified as “motor themes”, as they are well developed and essential for building the research field.

b) Upper-left quadrant hosts topics characterized by strong internal ties but weak external links, with low relevance for the field. They stand as specialized themes on the area periphery.

c) Lower-left quadrant includes topics lacking development and relevance. They represent either emerging or disappearing themes.

d) Lower-right quadrant shows relevant themes but lacking development. They can be understood as transversal, basic and general topics.

• Discovery of thematic areas. The main themes of the field and their evolution are drawn through their diachronic changes. These changes are identified by overlaps in the clusters from one period to the following. That is, there is evolution if a theme from the period T1 share keywords with a theme of the period T2. As more keywords two clusters of consecutive periods have in common, stronger will be the evolution.

• Performance analysis. Each theme and thematic area are comprised of a set of keywords that appear in a set of documents. That is, a set of documents could be associated with each theme and thematic area. In that sense, the production and scientific impact of each topic and each thematic area are measured using bibliometric indicators such as the number of published documents, citations, or different types of h-index (Hirsch, 2005).

The Journal Citation Reports (JCR) provided by Clarivate Analytics is used to obtain the most important communication journals because it presents the best retrospective coverage and it provides quality data to develop our study. The JCR (2013) listed 74 journals under the Communication subject category. Data were retrieved from Web of Science database

The sample is further restricted to the period 1980-2013 and it only includes articles and reviews. It includes 33.627 documents and their citations up to August 2014.

Author’s keywords as well as they their Keywords Plus were used as units of analysis. Additionally, a de-duplication operation was carried out to refine data. As some documents lacked enough keywords, descriptive keywords were manually added. Those additional keywords were elaborated matching title words with other keywords already present in the Web of Science database. Last, some keywords were excluded because of their low informational value: that was the case with stop words or terms which were deemed too generic, for instance, Communication. Finally, 29.951 keywords were used.

Next, the comprehended time lapse was divided into four periods: 1980-1989, 1990-1999, 2000-2009 and 2010-2013. WoS included 3,731, 6,583, 13,203 and 10,107 documents respectively for each one of these periods.

3. Results

3.1. Communication research themes

A diagram is presented for each chronologic period to analyse the most relevant themes in the communication research field. In each diagram, the sphere size is related to the sum of documents linked to each research topic. Also, the sum of citations received by each topic is offered in brackets.

• First period (1980-1989). During this period, the communication research field pivoted on eighteen research themes (Figure 1).

The performance measures stated in Table 1 remark two topics: “Advertising” and “Television”. Both themes got the largest number of documents and achieved more than four-thousand citations.

“Advertising” is the most central theme, standing as a basic and transversal topic, achieving a high citation rate and impact, related to brands, sales, and products.

The theme “Television” is categorized as basic and transversal, and it is very central in that period. It achieves the highest impact rate. This theme comprises research conducted on different aspects of television, such as the coverage of different disasters, social uses of television, and communication patterns among others.

• Second period (1990-1999). According to the strategic diagram shown in Figure 1, the research field was mainly composed of motor themes in those years. Also, there is a great number of emerging themes which will be the basis of future themes in the next periods.

The theme “News” evolves from an emerging topic in the first period to one of the most important motor themes during this decade. According to Table 1, it ranks as the most productive theme in third place, according to its citations.

The theme “Response” is consolidated as a motor theme, is one of the most attractive to communication researchers. It is still covering and delving into similar topics.

The motor theme “Gender” obtained the highest impact rate in this period. It is related to gender/sex difference, intimacy, and sex as well as behaviour.

“Advertising” is also consolidated as the motor theme, reaching great impact with a limited number of documents. Among other topics, the use of advertisement on the Internet is studied.

• Third period (2000-2009). During this period, the communication research field pivoted on twenty-two research themes (Figure 1).

The motor-theme “News” is the most important according to its performance indicators (Table 1). It studies topics related to news and mass media, the media effects models, and news coverage.

“Advertising” is consolidated as motor-theme in that period. It is devoted to different aspects, such as its use on Internet, corporations sponsoring, effectiveness or brand placement in video games.

“Internet” appears as an important motor theme with a high citation score and also with the best h-index. It covers different aspects of this news media. For instance, the differences among Web and mail survey response rates, patterns on Internet, and on-line Social Networks among others.

“Close-Relationship” is focused on aspects related to romantic relationships such as satisfaction, positive illusions, dating, dynamics of emotional reactions, and attachment.

“Children” become an important motor theme in this period, obtaining a huge impact rate. It is mainly focused on the analysis of the behaviour of children and youth, especially on the Internet. Also, it covers aspects related to the effects of violent video games and violent media content.

“Discourse” is strengthened as the motor theme in this period by improving its impact rate. Mainly the research conducted during this period was devoted to language, identity, ideology, narration as well as the discourse analysis.

The theme “Gender” obtained a moderate impact rate. It is centred on opinion gender gaps, sex differences in video games playing, differences in attitudes toward homosexuality or differences in empathic accuracy.

• Fourth period (2010-2013). During this period, the communication research field pivoted on twenty-three themes (Figure 1).

Taking into account their performance measures (Table 1), the motor themes “News” and “Internet” stand out. The former covers a great variety of topics, such as the diffusion of news in new on-line tools like Twitter, framing or the media coverage of different news. The latter is focused on different aspects of the on-line communication.

Moreover, “Gender” is consolidated as the motor theme, and refers to topics such as the sexually explicit internet material, gender differences in the Internet, sex difference in on-line dating, gender roles and work-life, sex-difference in video games, or the necessity of seeking health information.

The theme “Advertising”, although it is laid out in the fourth quadrant, it is very close to the centre of the strategic diagram. Also, due to its evolution and impact rate in this period, it could be considered as an important topic. It covers aspects related to in-game brand exposure, how users assess credibility to websites of brands, commercial media environment or the understanding of advertisements by children.

3.2. Thematic evolution of the communication research field

Using SciMAT, the research output in the field was observed to concentrate around 16 areas: “Children”, “Psychological aspects”, “News”, “Audience”, “Surveys”, “Advertising”, “Health”, “Relationship”, “Gender”, “Discourse”, “Telephone communication”, “Public relation”, “Telecommunications”, “Public opinion”, “Activism” and “Internet” (Figure 2). In this Figure, thematic links are represented by a solid line. In other sense, a dotted line connects topics which share common keywords other than their respective names (for a better understanding, the dotted lines which connect themes of different thematic areas were deleted). Meanwhile, the size of the sphere represents the number of documents belonging to each theme. Additionally, the different shadows gather the topics labeled under the same thematic area.

Structural analysis of the evolution of the communication scientific field. As seen in Figure 2, the analysed research output is characterised by a solid cohesion. Most of the identified topics are gathered under a thematic area. They derive from a topic appeared in the previous period. Also, they show a continuous evolution with almost no jumps or gaps. Regarding the starting period, ten thematic areas started in the first period. Thus, they could be considered as classic. Moreover, in the second period, three new thematic areas emerged: “Health”, “Relationship” and “Internet”. In fact, the thematic area “Internet” plays an important role in the development of the field. Regarding the theme composition, the thematic areas “News”, “Relationship”, “Gender” and “Internet” are mainly composed of motor themes in all the periods. Also, the thematic areas “News”, “Gender” and “Internet” show a significant growth according to the rise in the number of documents (that is, volume of spheres in Figure 2).

Performance analysis of the evolution of the communication scientific field. Table 2 shows the performance indexes of each topic. The order in the table is the same as the order of the thematic areas highlighted in Figure 2. Regarding the impact scores, two thematic areas stand out: “News” and “Internet”. Both could be considered thematic areas with a global impact, playing a central role in the development of the field. Their evolution of h-index and citations show a rising trend. It is also remarkable the huge rising trend of the thematic area “Internet”, which started with little impact and now becoming the origin of a new research area. In fact, since the beginning of this thematic area, the topics covered by the other ones are closely related to “Internet”. Moreover, the thematic areas “Children”, “Health” and “Gender” achieved a great impact, but their evolution performance was not growing across the periods equally. That is, in the second or third period there was little interest in those thematic areas, but in the last period they continued attracting the interest of the scientific community. The remaining thematic areas could be divided into two groups. On one hand, the thematic areas “Advertising”, “Relationship”, “Discourse”, “Telephone Communication” and “Public Relations” present an adequate impact, and their themes occupy a central position according to their h-index. Also, “Telephone Communication” and “Public Relations” show a small scientific decreasing interest in the central periods. On the other hand, “Psychological aspects”, “Audience”, “Public opinion” and “Activism” present low impact scores. It should be pointed out that while “Psychological Aspects” and “Public Opinion” present a fading trend, “Activism”, although with little impact rate, seems to be the origin of a new research area of interest.

4. Discussion

Regarding the thematic evolution shown by the detected thematic areas (Figure 2), some conclusion should be done:

• The thematic area “Children” is present in the four periods, covering topics related to the communication aspects, behaviour or patterns at different ages. In the first years, it was mainly devoted to the effects and behaviour in the use of media by children and young people. Later, although the interest in children media behaviour and effects continued, new topics related to bullying, attachment formation and relationships, predictors of children’s friendships, or the perceptions of their sibling relationships appeared. In the period 2000-2009, there was an increase in the interest of topics related to the behaviour of children on the Internet. Finally, in the last period, the topics covered were focused mainly on the Internet.

• “Psychological Aspects” was devoted in the first period to issues related to compliance gaining and perception. In the second period, it was focused on the levels of processing, dimensions of emotional experience, cognitive capacity, or third-person effect. Later, the topics evolved to narrative persuasion. Finally, some specific Psychological aspects of communication were analysed.

• “News” is one of the main thematic areas of the communication research field. In the first years, it was dedicated to the seeking of gratification, news memory, news comprehension, news structure and diversity of news. In the second period, the interest on it grew up, covering topics related to news coverage of different events, effects of news frames on readers’ thoughts and recall, news reception, or the relationship between journalistic story frames and the thoughts and feelings of readers. Next, the thematic area covered a variety of topics, for instance: news framing, agenda setting, and priming effects, media aspects, news coverage, aspects of on-line news or event-driven news. Finally, in the period 2010-2013, due to its structural characteristics, it was related to other thematic areas. Some topics covered in those years were: news on Twitter, media and news coverage and framing.

• The thematic area “Audience” was devoted in the first period to the analysis of the audience of different ages, genders, and races, and to the measurement of the audience of television news and soap operas. From 1990 to 1999, it covered topics such as audience reception, perception, and levels, or response to media content. Later, the thematic area focused on specific topics such as relationships between media companies, hostile media perception, television audience polarization, the audience for corporate Web sites and product (or brand), as well as placement in films. Finally, the interest of the audience on the Internet rose during the last analysed period. Also, this area covered journalism audience and campaign evaluation.

• “Surveys” was only present in the two first periods, is an important research area in those years. In both periods, it was devoted to the study of surveys, response rates, deal with non-response or asking for sensitive questions.

• “Advertising” is devoted to producing a purchase by showing the products to consumers and trying to reach their attention. In the first period, it included themes regarding the effectiveness of advertising in different media, image management, political advertising or the use of sex in advertisements. Next, the interest on advertising grew up, is an important motor theme. In the third period, the interest of advertising on the Internet increased dramatically. Also, the thematic area pivoted on other topics such as effectiveness, brand evaluation, credibility and international advertising. In the last period, in addition to the topics covered early, “Advertising” is devoted to in-game brand exposure, children understanding of advertisers and viral advertising effectiveness.

• The thematic area “Health” started in the period 1990-1999 focusing on the health communication related issues, for instance: social support messages exchanged by persons with disabilities, factors influencing responses to questions on sexual behaviour, persuasive health messages, effectiveness health communication or health communication campaigns. Afterwards, it focused on the presentation of health information, information sources, health information seeking and avoiding, and also the analysis of media consumption patterns. Recently (2010-2013), this area has been mainly focused on health communication through the Internet.

• The thematic area “Relationship” compromises the research conducted on the communication process of personal relationships, especially into romantic relationships. It started in the second period (1990-1999), focusing on scales and models. Also, it refers to attachment and coping strategies. In the next period, the thematic area was articulated into three main topics: attachment, dating, couples, and family. Finally, from 2010 to 2013, this thematic area covered predictors of non-marital romantic relationship dissolution, adult and adolescent attachment, online dating, and model for relational turbulence.

• “Gender” started as a thematic area referred to research conducted on differences among genders or specific analysis of the gender behavior. In the second period, it became an important motor theme, and therefore, it was related to themes, such as relationship or advertising effect and reception. In the period 2000-2009, it remained an interest in the gender differences and gender identity, masculinity, male violence, racial minorities, stereotypes, and also the role of gender in the third-person effect. In the last period, this thematic area was heavily influenced by the Internet.

• The thematic area “Discourse” refers to the research conducted on the communication process such as rhetoric, narrative and language. In the first years, it covered topics related to rhetoric of science, link between rhetoric and ideology, reciprocity in negotiations, initial interactions, discourse strategies or narrative in organizations. In the second period, it centred on the research conducted on conversation and language. Also, in those years it began to cover topics related to the Internet. In the third period, it focused on advance communication topics, such as, identity as produced in linguistic interaction, narrative persuasion, discourse analysis, multilingualism among others. Finally, in the last period it continued studying advance issues and topics related to the analysis of on-line discourse.

• The thematic area “Telephone Communication” varied across the periods from studies related to telephone coverage and usage, to mobile phone and mobile data usage.

• “Public Relation” was focused, in the first years, on the communication process in organizations such as social responsibility, moral values, licensing, issue management or role models. Afterwards, the interest continued in aspects related to social responsibility. It should be noted that there was an incipient interest on the relation of public relation and the Internet. In the third period, it covered general and advanced aspects of social responsibility and public relations. In the last period, there was a great influence of the Internet.

• The research area “Telecommunication” was present in the two first periods. In the former, it was focused on broadcasting and telecommunication policy and also in the television deregulation. In the latter, among others, it was comprised on the research conducted in telecommunication behaviour, Internet adoption, differences in Internet connectivity, standards-setting for global telecommunication services, channel repertoire and the differences between VCRS and cable television.

• “Public Opinion” is mainly focused on the democratic process, voter’s behaviour and political issues. In the first years, it consisted in the research conducted on polls, evaluation of poll data and voting behaviour. In the second period, it broadened to include topics related to campaign media, democracy deliberation, mediatisation of politics, relation of public opinion and public policy, or the influence of news coverage on the perceptions of public sentiment. Afterwards, it was focused on similar topics and also some aspects related to the Internet. In the last period, the influence of the Internet increased, covering topics such as college students’ use of on-line media for political purposes, levels of interactivity of Presidential Candidates’ Websites and the influence of these social media on political cynicism. Moreover, it comprised other topics such as civic engagement and democratic communication.

• “Activism” arose in the third period (2000-2009) covering aspects related to some social movements and protests. Moreover, it compromised the research conducted on democratic media activism, and alternative media. In the last period, it was focused on the personalization of collective actions, and many social movements around the globe.

• Since “Internet” appeared as a thematic area in the second period, the whole communication research field has been heavily influenced by it, especially from the third period up to now. In the years 1990-1999, it referred to the research conducted on exploring Web users’ motivations and concerns, users’ issues, and on-line service adoption. In the third period, it was related to Internet use and social network among others. Finally, in the period 2010-2013 there was an increase interest in communication issues in on-line social network. For instance, whether Facebook users have different connection strategies, such as Twitter, social scientists, predictors of Facebook communication and relational closeness. Also, it comprised the research conducted on e-science technologies, online credibility or the use of big data to resolve significant questions.

5. Conclusion

As pointed above, Communication Research has been labeled as a fragmented field. This survey supports this claim by delimiting sixteen thematic areas with almost no topical links among them. Connections were more common from 1980 to 2000, but in the 21st century, those areas are becoming isolated.

Anyway, this outcome does only reflect scientific production indexed at WoS, which is biased towards the English language. Further research might compare the results with samples from other databases such as Scopus or Google Scholar with a wider geographical and linguistic scope (Delgado & Repiso, 2013), allowing then to significant transnational comparisons. In the same sense, future studies might collect papers according to a purposeful selection of journals.

Funding agency

The authors would like to acknowledge FEDER funds under grants TIN2013-40658-P and TIN2016-75850-R, and the financial support from the University of Cádiz Project PR2016-067.


Barnett, G. A., Huh, C., Kim, Y., & Park, H.W. (2011). Citations among communication journals and other disciplines: a network analysis. Scientometrics, 88(2), 449-469. https://doi.org/10.1007/s11192-011-0381-2

Barnett, G.A., & Danawoski, J.A. (1992). The structure of communication. Human Communication Research, 19(2), 264-285. https://doi.org/10.1111/j.1468-2958.1992.tb00302.x

Bastian, M., Heymann, S., & Jacomy, M. (2009). Gephi: An open source software for exploring and manipulating networks. In Proceedings of the International AAAI Conference on Weblogs and Social Media.

Callon, M., Courtial, J.P., & Laville, F. (1991). Co-word analysis as a tool for describing the network of interactions between basic and technological research: The case of polymer chemsitry. Scientometric, 22(1). https://doi.org/10.1007/BF02019280

Callon, M., Courtial, J.P., Turner, W.A., & Bauin, S. (1983). From translations to problematic networks: An introduction to co-word analysis. Social Science Information. https://doi.org/10.1177/053901883022002003

Chung, C.J., Barnett, G.A., Kim, K., & Lackaff, D. (2013). An analysis on communication theory and discipline. Scientometrics, 95(3), 985-1002. https://doi.org/10.1007/s11192-012-0869-4

Chung, C.J., Lee, S., Barnett, G.A., & Kim, J.H. (2009). A comparative network analysis of the Korean Society of Journalism and Communication Studies (KSJCS) and the International Communication Association (ICA) in the era of hybridization. Asian Journal of Communication, 19(2), 170-191. https://doi.org/10.1080/01292980902827003

Cobo, M. J., Martínez, M.A., Gutiérrez-Salcedo, M., Fujita, H., & Herrera-Viedma, E. (2015). 25 years at knowledge-based systems: A bibliometric analysis. Knowledge-Based Systems, 80, 3-13. https://doi.org/10.1016/j.knosys.2014.12.035

Cobo, M.J., López-Herrera, A.G., Herrera-Viedma, E., & Herrera, F. (2011a). An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the fuzzy sets theory field. Journal of Informetrics, 5(1), 146-166. https://doi.org/10.1016/j.joi.2010.10.002

Cobo, M.J., López-Herrera, A.G., Herrera-Viedma, E., & Herrera, F. (2011b). Science mapping software tools: Review, analysis, and cooperative study among tools. Journal of the American Society for Information Science and Technology, 62(7), 1382-1402. https://doi.org/10.1002/asi.21525

Cobo, M.J., López-Herrera, A.G., Herrera-Viedma, E., & Herrera, F. (2012). SciMAT: A new science mapping analysis software tool. Journal of the American Society for Information Science and Technology, 63(8), 1609-1630. https://doi.org/10.1002/asi.22688

Corner, J. (2013). Is there a «field» of media research? - The «fragmentation» issue revisited. Media, Culture & Society, 35(8), 1011-1018. https://doi.org/10.1177/0163443713508702

Coulter, N., Monarch, I., & Konda, S. (1998). Software engineering as seen through its research literature: A study in coword analysis. Journal of the American Society for Information Science, 49(13), 1206-1223. https://doi.org/10.1002/(SICI)1097-4571(1998)49:13<1206::AID-ASI7>3.0.CO;2-F

De-Filippo, D. (2013). Spanish scientific output in communication sciences in WOS. The Scientific Journals in SSCI (2007-12). Comunicar, 21(41), 25-34. https://doi.org/10.3916/C41-2013-02

Delgado, E., & Repiso, R. (2013). The impact of scientific journals of communication: Comparing Google Scholar Metrics, Web of Science and Scopus. Comunicar, 21(41), 45-52. https://doi.org/10.3916/C41-2013-04

Fernández-Quijada, D., & Masip, P. (2013). Three decades of Spanish communication research: Towards legal age. Comunicar, 21(41), 15-24. https://doi.org/10.3916/C41-2013-01

Hakanen, E.A., & Wolfram, D. (1995). Citation relationships among international mass communication journals. Journal of Information Science, 21(3), 209-215. https://doi.org/10.1177/016555159502100306

Hirsch, J.E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences, 102(46), 16569-16572. https://doi.org/10.1073/pnas.0507655102

Knobloch-Westerwick, S., & Glynn, C.J. (2013). The Matilda effect-role congruity effects on scholarly communication: A citation analysis of communication research and journal of communication articles. Communication Research, 40(1), 3-26. https://doi.org/10.1177/0093650211418339

Koivisto, J., & Thomas, P.D. (2011). Mapping communication and media research: Conjunctures, institutions, challenges. Mapping communication and media research: Conjunctures, institutions, challenges. Tampere University Press.

Lauf, E. (2005). National diversity of major international journals in the field of communication. Journal of Communication, 55(1), 139151. https://doi.org/10.1093/joc/55.1.139

Leydesdorff, L., & Probst, C. (2009). The delineation of an interdisciplinary specialty in terms of a journal set: The case of communication studies. Journal of the American Society for Information Science and Technology, 60(8), 1709-1718. https://doi.org/10.1002/asi.21052

Lin, Y., & Kaid, L.L. (2000). Fragmentation of the intellectual structure of political communication study: Some empirical evidence. Scientometrics, 47(1), 143-164. https://doi.org/10.1023/A:1005678011835

Martínez, M.A., Cobo, M.J., Herrera, M., & Herrera-Viedma, E. (2015). Analyzing the scientific evolution of social work using science mapping. Research on Social Work Practice, 5(2), 257-277. https://doi.org/10.1177/1049731514522101

Martínez, M.A., Herrera, M., López-Gijón, J., & Herrera-Viedma, E. (2014). H-Classics: Characterizing the concept of citation classics through H-index. Scientometrics, 98(3), 1971-1983. https://doi.org/10.1007/s11192-013-1155-9

Míguez-González, M.I., Baamonde-Silva, X.M., & Corbacho-Valencia, J.M. (2014). A bibliographic study of public relations in Spanish media and communication journals, 2000-2012. Public Relations Review, 40(5), 818-828. https://doi.org/10.1016/j.pubrev.2014.08.002

Noyons, E.C.M., Moed, H.F., & Luwel, M. (1999). Combining mapping and citation analysis for evaluative bibliometric purposes: A bibliometric study. Journal of the American Society for Information Science, 50(2), 115-131. https://doi.org/10.1002/(SICI)1097-4571(1999)50:2<115::AID-ASI3>3.0.CO;2-J

Paisley, W. (1984). Communication in the communication sciences. In B. Dervin & M. Voigt (Eds.), Progress in the communication sciences (Vol. 5, pp. 1-43). Norwood, NJ: Ablex.

Park, H.W., & Leydesdorff, L. (2009). Knowledge linkage structures in communication studies using citation analysis among communication journals. Scientometrics, 81(1), 157-175. https://doi.org/10.1007/s11192-009-2119-y

Poor, N.D. (2009). Global citation patterns of open access communication studies journals: Pushing beyond the Social Science Citation Index. International Journal of Communication, 3, 27. (https://goo.gl/qesFYN).

Repiso, R., Torres, D., & Delgado, E. (2011). Bibliometric and social network analysis applied to television dissertations presented in Spain (1976/2007). Comunicar, 19(37), 151-159. https://doi.org/10.3916/C37-2011-03-07

Rogers, E.M. (1994). A history of communication study: A biographical approach. Free Press.

Rogers, E.M. (1999). Anatomy of the two subdisciplines of communication study. Human Communication Research, 25(4), 618-631. https://doi.org/10.1111/j.1468-2958.1999.tb00465.x

Schönbach, K., & Lauf, E. (2006). Are national communication journals still necessary? A case study and some suggestions. Communications, 31(4), 447-454. https://doi.org/10.1515/COMMUN.2006.028

Smith, E.O. (2000). Strength in the technical communication journals and diversity in the serials cited. Journal of Business and Technical Communication, 14(2), 131-184. https://doi.org/10.1177/105065190001400201

So, C.Y.K. (1988). Citation patterns of core communication journals an assessment of the developmental status of communication. Human Communication Research, 15(2), 236-255. https://doi.org/10.1111/j.1468-2958.1988.tb00183.x

So, C.Y.K. (2010). The rise of Asian communication research: A citation study of SSCI journals. Asian Journal of Communication, 20(2), 230-247. https://doi.org/10.1080/01292981003693419

Tai, Z. (2009). The structure of knowledge and dynamics of scholarly communication in agenda setting research, 1996-2005. Journal of Communication, 59(3), 481-513. https://doi.org/10.1111/j.1460-2466.2009.01425.x

White, W. (1999). Academic topographies a network analysis of disciplinarity among communication faculty. Human Communication Research, 25(4), 604-617. https://doi.org/10.1111/j.1468-2958.1999.tb00464.x