Thomas J. Johnson

6.5k total citations
126 papers, 4.5k citations indexed

About

Thomas J. Johnson is a scholar working on Communication, Sociology and Political Science and Political Science and International Relations. According to data from OpenAlex, Thomas J. Johnson has authored 126 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Communication, 63 papers in Sociology and Political Science and 12 papers in Political Science and International Relations. Recurrent topics in Thomas J. Johnson's work include Social Media and Politics (62 papers), Media Studies and Communication (44 papers) and Misinformation and Its Impacts (23 papers). Thomas J. Johnson is often cited by papers focused on Social Media and Politics (62 papers), Media Studies and Communication (44 papers) and Misinformation and Its Impacts (23 papers). Thomas J. Johnson collaborates with scholars based in United States, United Kingdom and Chile. Thomas J. Johnson's co-authors include Barbara K. Kaye, Shannon L. Bichard, Weiwu Zhang, Jean L. Kristeller, Trent Seltzer, Shahira Fahmy, Virgil L. Sheets, Summer Harlow, Danielle K. Brown and Karen L. Cropsey and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and Journal of Educational Psychology.

In The Last Decade

Thomas J. Johnson

118 papers receiving 4.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas J. Johnson United States 33 2.6k 2.5k 402 380 339 126 4.5k
Stephen A. Rains United States 35 2.8k 1.1× 1.7k 0.7× 161 0.4× 416 1.1× 725 2.1× 124 5.1k
David Rothschild United States 21 3.3k 1.3× 1.4k 0.6× 382 1.0× 224 0.6× 997 2.9× 67 4.8k
Edson C. Tandoc Singapore 42 4.8k 1.9× 4.3k 1.7× 205 0.5× 242 0.6× 998 2.9× 167 7.0k
Carolyn A. Lin United States 33 3.2k 1.2× 1.3k 0.5× 159 0.4× 314 0.8× 206 0.6× 128 4.9k
Yan Jin United States 34 3.0k 1.2× 3.0k 1.2× 81 0.2× 179 0.5× 360 1.1× 119 4.6k
Avery E. Holton United States 32 1.7k 0.6× 2.3k 0.9× 112 0.3× 112 0.3× 270 0.8× 81 3.6k
David Tewksbury United States 23 2.7k 1.1× 2.7k 1.1× 568 1.4× 101 0.3× 193 0.6× 43 4.5k
Michael Pfau United States 36 2.3k 0.9× 1.9k 0.8× 492 1.2× 182 0.5× 214 0.6× 106 4.5k
R. Lance Holbert United States 37 2.5k 1.0× 2.3k 0.9× 505 1.3× 239 0.6× 329 1.0× 97 4.7k
Brooke Fisher Liu United States 33 2.9k 1.1× 3.1k 1.3× 179 0.4× 103 0.3× 252 0.7× 87 4.3k

Countries citing papers authored by Thomas J. Johnson

Since Specialization
Citations

This map shows the geographic impact of Thomas J. Johnson'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 Thomas J. Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas J. Johnson more than expected).

Fields of papers citing papers by Thomas J. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas J. Johnson. 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 Thomas J. Johnson. The network helps show where Thomas J. Johnson may publish in the future.

Co-authorship network of co-authors of Thomas J. Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas J. Johnson. A scholar is included among the top collaborators of Thomas J. Johnson 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 Thomas J. Johnson. Thomas J. Johnson 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.
Johnson, Thomas J., et al.. (2023). How social media users become misinformed: The roles of news-finds-me perception and misinformation exposure in COVID-19 misperception. New Media & Society. 27(3). 1730–1751. 11 indexed citations
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Johnson, Thomas J., et al.. (2022). You Can’t Handle the Lies!: Exploring the Role of Gamson Hypothesis in Explaining Third-Person Perceptions of Being Fooled by Fake News and Fake News Sharing. Mass Communication & Society. 26(3). 414–437. 7 indexed citations
5.
Jia, Chenyan & Thomas J. Johnson. (2021). Source Credibility Matters: Does Automated Journalism Inspire Selective Exposure?. International journal of communication. 15. 22. 13 indexed citations
6.
Johnson, Thomas J., Magdalena Saldaña, & Barbara K. Kaye. (2020). Think the Vote: Information Processing, Selective Exposure to Social Media, and Support for Trump and Clinton. International journal of communication. 14. 25. 3 indexed citations
7.
Johnson, Thomas J., et al.. (2018). Social networking site as a Political Filtering Machine: Predicting the Act of Political Unfriending and Hiding on Social Networking Sites. Social Media + Society. 7(2). 92–119. 7 indexed citations
8.
Lu, Shuning, et al.. (2017). Putting out fire with gasoline in Tahrir Square: Revisiting the Gamson hypothesis.. International journal of communication. 11. 23. 4 indexed citations
9.
Mourão, Rachel R., et al.. (2015). European Public Sphere| Online News, Social Media and European Union Attitudes: A Multidimensional Analysis. International journal of communication. 9. 24. 5 indexed citations
10.
Mourão, Rachel R., et al.. (2015). Online News, Social Media, and European Union Attitudes: A Multidimensional Analysis. International journal of communication. 9(1). 3199–3222. 6 indexed citations
11.
Kim, Daekyung, Hyunwoo Kim, & Thomas J. Johnson. (2011). Third-Person Perception of User-Generated Online Political Messages and the Relationship with Government Regulation in South Korea. 8. 23–47. 1 indexed citations
12.
Harlow, Summer & Thomas J. Johnson. (2011). The Arab Spring| Overthrowing the Protest Paradigm? How The New York Times, Global Voices and Twitter Covered the Egyptian Revolution. International journal of communication. 5. 16. 56 indexed citations
13.
Johnson, Thomas J. & Shahira Fahmy. (2009). Embeds' Perceptions of Censorship: Can You Criticize a Soldier Then Have Breakfast With Him in the Morning?. Mass Communication & Society. 12(1). 52–77. 6 indexed citations
14.
Johnson, Thomas J., Virgil L. Sheets, & Jean L. Kristeller. (2008). Empirical Identification of Dimensions of Religiousness and Spirituality. Mental Health Religion & Culture. 11(8). 745–767. 25 indexed citations
15.
Johnson, Thomas J.. (2006). Atmospheric Excitation of Newly Observed Short Period Retrograde Loops in Polar Motion. AGU Spring Meeting Abstracts. 2007. 1 indexed citations
16.
Kosek, W., et al.. (2005). A comparison of LOD and UT1-UTC forecasts by different combined prediction techniques. 40(2). 119–125. 18 indexed citations
17.
Johnson, Thomas J. & Virgil L. Sheets. (2004). Measuring College Students' Motives for Playing Drinking Games.. Psychology of Addictive Behaviors. 18(2). 91–99. 69 indexed citations
18.
Gambis, D., Thomas J. Johnson, R. S. Gross, & J. Vondrák. (2003). General combination of EOP series. 30. 39–50. 3 indexed citations
19.
Johnson, Thomas J., et al.. (1998). Social anxiety, alcohol expectancies, and drinking-game participation. Addictive Behaviors. 23(1). 65–79. 39 indexed citations
20.
Johnson, Thomas J.. (1972). A Macro View of Process Evaluation.. 1 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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