David Tewksbury

7.3k total citations · 2 hit papers
43 papers, 4.5k citations indexed

About

David Tewksbury is a scholar working on Communication, Sociology and Political Science and Literature and Literary Theory. According to data from OpenAlex, David Tewksbury has authored 43 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Communication, 21 papers in Sociology and Political Science and 10 papers in Literature and Literary Theory. Recurrent topics in David Tewksbury's work include Social Media and Politics (28 papers), Media Studies and Communication (25 papers) and Media Influence and Health (10 papers). David Tewksbury is often cited by papers focused on Social Media and Politics (28 papers), Media Studies and Communication (25 papers) and Media Influence and Health (10 papers). David Tewksbury collaborates with scholars based in United States, Russia and Switzerland. David Tewksbury's co-authors include Dietram A. Scheufele, Scott L. Althaus, Vincent Price, Andrew J. Weaver, Kevin Coe, Yuanyuan Zhang, Kristin L. Drogos, Bradley J. Bond, R. W. Porter and Jennifer Jones and has published in prestigious journals such as Journal of Communication, Public Opinion Quarterly and New Media & Society.

In The Last Decade

David Tewksbury

42 papers receiving 3.9k citations

Hit Papers

Framing, Agenda Setting, ... 1997 2026 2006 2016 2006 1997 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Tewksbury United States 23 2.7k 2.7k 617 568 317 43 4.5k
Douglas M. McLeod United States 35 2.6k 0.9× 2.5k 0.9× 844 1.4× 501 0.9× 441 1.4× 106 4.3k
Pamela J. Shoemaker United States 24 3.5k 1.3× 2.7k 1.0× 446 0.7× 457 0.8× 513 1.6× 48 5.3k
Patricia Moy United States 24 2.4k 0.9× 2.0k 0.7× 370 0.6× 722 1.3× 193 0.6× 59 3.4k
Zhongdang Pan United States 23 1.7k 0.6× 1.6k 0.6× 465 0.8× 358 0.6× 281 0.9× 44 2.9k
W. Russell Neuman United States 22 2.6k 1.0× 2.9k 1.1× 378 0.6× 1.5k 2.7× 345 1.1× 58 5.2k
Nojin Kwak United States 26 2.4k 0.9× 2.2k 0.8× 311 0.5× 612 1.1× 199 0.6× 46 3.4k
Sandra J. Ball‐Rokeach United States 33 2.1k 0.7× 2.9k 1.1× 520 0.8× 303 0.5× 311 1.0× 81 4.9k
Jack M. McLeod United States 30 2.9k 1.1× 2.4k 0.9× 416 0.7× 780 1.4× 250 0.8× 65 4.2k
Spiro Kiousis United States 29 2.2k 0.8× 1.9k 0.7× 283 0.5× 354 0.6× 209 0.7× 92 3.5k
R. Lance Holbert United States 37 2.3k 0.8× 2.5k 0.9× 990 1.6× 505 0.9× 450 1.4× 97 4.7k

Countries citing papers authored by David Tewksbury

Since Specialization
Citations

This map shows the geographic impact of David Tewksbury's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Tewksbury with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Tewksbury more than expected).

Fields of papers citing papers by David Tewksbury

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Tewksbury. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Tewksbury. The network helps show where David Tewksbury may publish in the future.

Co-authorship network of co-authors of David Tewksbury

This figure shows the co-authorship network connecting the top 25 collaborators of David Tewksbury. A scholar is included among the top collaborators of David Tewksbury based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Tewksbury. David Tewksbury is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hong, Joo-Wha, Ho-Chun Herbert Chang, & David Tewksbury. (2024). Can AI Become Walter Cronkite? Testing the Machine Heuristic, the Hostile Media Effect, and Political News Written by Artificial Intelligence. Digital Journalism. 13(4). 845–868. 6 indexed citations
2.
Tewksbury, David, et al.. (2024). Perceiving AI intervention does not compromise the persuasive effect of fact-checking. New Media & Society. 28(1). 191–211. 4 indexed citations
3.
Tewksbury, David & Julius Matthew Riles. (2015). Polarization as a Function of Citizen Predispositions and Exposure to News on the Internet. Journal of Broadcasting & Electronic Media. 59(3). 381–398. 25 indexed citations
4.
Pan, Nan, et al.. (2012). Expression of the Renin-Angiotensin System in a Human Placental Cell Line. Clinical Medicine & Research. 11(1). 1–6. 13 indexed citations
5.
Tewksbury, David, et al.. (2012). News on the Internet. Oxford University Press eBooks. 74 indexed citations
6.
Tewksbury, David, Scott L. Althaus, & Matthew V. Hibbing. (2011). Estimating Self-Reported News Exposure Across and Within Typical Days: Should Surveys Use More Refined Measures?. Communication Methods and Measures. 5(4). 311–328. 10 indexed citations
7.
Tewksbury, David, et al.. (2008). The Efficacy of News Browsing: The Relationship of News Consumption Style to Social and Political Efficacy. Journalism & Mass Communication Quarterly. 85(2). 257–272. 55 indexed citations
8.
Scheufele, Dietram A. & David Tewksbury. (2007). Korean Abstract. Journal of Communication. 57(1). 9–20. 1 indexed citations
9.
Tewksbury, David & Dietram A. Scheufele. (2007). Special Issue on Framing, Agenda Setting, & Priming: Agendas for Theory and Research. Journal of Communication. 57(1). 8–8. 20 indexed citations
10.
Tewksbury, David. (2007). New Media Campaigns and the Managed Citizen, by Phillip N. Howard. Political Communication. 24(4). 448–449. 1 indexed citations
11.
Tewksbury, David. (2006). Exposure to the Newer Media in a Presidential Primary Campaign. Political Communication. 23(3). 313–332. 40 indexed citations
12.
Tewksbury, David. (2005). The Seeds of Audience Fragmentation: Specialization in the Use of Online News Sites. Journal of Broadcasting & Electronic Media. 49(3). 332–348. 152 indexed citations
13.
Tewksbury, David, et al.. (2004). Preparations for Y2K: Revisiting the Behavioral Component of the Third-Person Effect. Journal of Communication. 54(1). 138–155. 57 indexed citations
14.
Tewksbury, David. (2004). Preparations for Y2K: Revisiting the Behavioral Component of the Third-Person Effect. Journal of Communication. 54(1). 138–155. 2 indexed citations
15.
Tewksbury, David. (2003). What Do Americans Really Want to Know? Tracking the Behavior of News Readers on the Internet. Journal of Communication. 53(4). 694–710. 16 indexed citations
16.
Althaus, Scott L. & David Tewksbury. (2000). Patterns of Internet and Traditional News Media Use in a Networked Community. Political Communication. 17(1). 21–45. 265 indexed citations
17.
Tewksbury, David & Scott L. Althaus. (2000). Differences in Knowledge Acquisition among Readers of the Paper and Online Versions of a National Newspaper. Journalism & Mass Communication Quarterly. 77(3). 457–479. 194 indexed citations
18.
Tewksbury, David. (1999). Differences in How We Watch the News. Communication Research. 26(1). 4–29. 15 indexed citations
19.
Price, Vincent, et al.. (1997). Switching Trains of Thought. Communication Research. 24(5). 481–506. 517 indexed citations breakdown →
20.
Price, Vincent & David Tewksbury. (1996). MEASURING THE THIRD-PERSON EFFECT OF NEWS: THE IMPACT OF QUESTION ORDER, CONTRAST AND KNOWLEDGE. International Journal of Public Opinion Research. 8(2). 120–141. 76 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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