Byron Reeves

8.7k total citations · 2 hit papers
92 papers, 5.3k citations indexed

About

Byron Reeves is a scholar working on Literature and Literary Theory, Sociology and Political Science and Social Psychology. According to data from OpenAlex, Byron Reeves has authored 92 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Literature and Literary Theory, 30 papers in Sociology and Political Science and 19 papers in Social Psychology. Recurrent topics in Byron Reeves's work include Media Influence and Health (33 papers), Impact of Technology on Adolescents (16 papers) and Child Development and Digital Technology (14 papers). Byron Reeves is often cited by papers focused on Media Influence and Health (33 papers), Impact of Technology on Adolescents (16 papers) and Child Development and Digital Technology (14 papers). Byron Reeves collaborates with scholars based in United States, United Kingdom and Netherlands. Byron Reeves's co-authors include Diana C. Mutz, John E. Newhagen, Clifford Nass, Annie Lang, James J. Cummings, Sohye Lim, Leo Yeykelis, Esther Thorson, Youngme Moon and B. J. Fogg and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Byron Reeves

89 papers receiving 4.6k citations

Hit Papers

The New Videomalaise: Effects of Televised Incivility on ... 2005 2026 2012 2019 2005 2023 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Byron Reeves United States 40 2.2k 1.4k 1.3k 1.2k 622 92 5.3k
Peter Vorderer Germany 35 3.2k 1.5× 2.2k 1.6× 1.4k 1.1× 718 0.6× 269 0.4× 109 6.2k
Matthew Lombard United States 18 1.8k 0.8× 891 0.6× 1.1k 0.9× 662 0.6× 374 0.6× 39 5.5k
Jesse Fox United States 38 3.4k 1.5× 825 0.6× 1.9k 1.5× 758 0.7× 686 1.1× 64 7.2k
Nicole C. Krämer Germany 44 3.1k 1.4× 783 0.6× 2.0k 1.6× 1.3k 1.1× 1.5k 2.4× 219 6.8k
Sherry Turkle United States 25 3.5k 1.6× 628 0.5× 1.1k 0.9× 1.5k 1.3× 579 0.9× 61 7.6k
Seung‐A Annie Jin United States 38 3.7k 1.7× 923 0.7× 882 0.7× 745 0.6× 746 1.2× 82 5.7k
Markus Appel Germany 35 1.7k 0.8× 1.3k 0.9× 1.1k 0.9× 525 0.5× 416 0.7× 119 3.9k
Adam Joinson United Kingdom 35 4.9k 2.2× 489 0.4× 1.2k 0.9× 1.7k 1.5× 792 1.3× 109 8.0k
Nicholas David Bowman United States 34 2.7k 1.2× 1.3k 0.9× 808 0.6× 436 0.4× 182 0.3× 170 4.4k
Nick Yee United States 31 5.4k 2.5× 1.2k 0.9× 2.1k 1.6× 677 0.6× 721 1.2× 42 9.5k

Countries citing papers authored by Byron Reeves

Since Specialization
Citations

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

Fields of papers citing papers by Byron Reeves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Byron Reeves. 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 Byron Reeves. The network helps show where Byron Reeves may publish in the future.

Co-authorship network of co-authors of Byron Reeves

This figure shows the co-authorship network connecting the top 25 collaborators of Byron Reeves. A scholar is included among the top collaborators of Byron Reeves 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 Byron Reeves. Byron Reeves 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
2.
Lee, Angela Y., Jeffrey T. Hancock, Adam S. Miner, et al.. (2025). Person-Specific Analyses of Smartphone Use and Mental Health: Intensive Longitudinal Study. JMIR Formative Research. 9. e59875–e59875. 1 indexed citations
3.
Markowitz, David M., et al.. (2024). (Mis)measurement of Political Content Exposure within the Smartphone Ecosystem. SHILAP Revista de lepidopterología. 4.
4.
Sun, Xiaoran, et al.. (2024). Agreement between self-reported and objectively measured smartphone use among adolescents and adults. Computers in Human Behavior Reports. 17. 100569–100569. 2 indexed citations
5.
Cho, Mu-Jung, Byron Reeves, Nilàm Ram, & Thomas N. Robinson. (2023). Balancing media selections over time: Emotional valence, informational content, and time intervals of use. Heliyon. 9(12). e22816–e22816. 1 indexed citations
6.
Reeves, Byron, et al.. (2023). The Affective Dynamics of Everyday Digital Life: Opening Computational Possibility. Affective Science. 4(3). 529–540. 3 indexed citations
7.
Cho, Mu-Jung, Byron Reeves, Thomas N. Robinson, & Nilàm Ram. (2023). Media Production on Smartphones: Analysis of the Timing, Content, and Context of Message Production Using Real-World Smartphone Use Data. Cyberpsychology Behavior and Social Networking. 26(5). 371–379. 3 indexed citations
8.
Sun, Xiaoran, et al.. (2022). Connectedness and independence of young adults and parents in the digital world: Observing smartphone interactions at multiple timescales using Screenomics. Journal of Social and Personal Relationships. 40(4). 1126–1150. 7 indexed citations
9.
Brinberg, Miriam, Nilàm Ram, Xiao Yang, et al.. (2020). The idiosyncrasies of everyday digital lives: Using the Human Screenome Project to study user behavior on smartphones. Computers in Human Behavior. 114. 106570–106570. 30 indexed citations
10.
Jun, Hanseul, Mark Roman Miller, Fernanda Herrera, Byron Reeves, & Jeremy N. Bailenson. (2020). Stimulus Sampling With 360-Videos: Examining Head Movements, Arousal, Presence, Simulator Sickness, and Preference on a Large Sample of Participants and Videos. IEEE Transactions on Affective Computing. 13(3). 1416–1425. 26 indexed citations
11.
Reeves, Byron, et al.. (2012). Leveraging the engagement of games to change energy behavior. 34 indexed citations
12.
Reeves, Byron, Thomas W. Malone, & Tony O’Driscoll. (2008). Los laboratorios online de liderazgo. Harvard business review. 86(5). 46–57. 1 indexed citations
13.
Nass, Clifford, Byron Reeves, & Glenn Leshner. (1996). Technology and Roles: A Tale of Two TVs. Journal of Communication. 46(2). 121–128. 54 indexed citations
14.
Lang, Annie, John E. Newhagen, & Byron Reeves. (1996). Negative video as structure: Emotion, attention, capacity, and memory. Journal of Broadcasting & Electronic Media. 40(4). 460–477. 272 indexed citations
15.
Basil, Michael D., Caroline Schooler, & Byron Reeves. (1991). Positive and negative political advertising: Effectiveness of ads and perceptions of candidates.. 43 indexed citations
16.
Reeves, Byron, Annie Lang, Esther Thorson, & Michael Rothschild. (1989). Emotional Television Scenes and Hemispheric Specialization. Human Communication Research. 15(4). 493–508. 49 indexed citations
17.
Thorson, Esther & Byron Reeves. (1986). Effects of Over-Time Measures of Viewer Liking and Activity During Programs and Commercials on Memory For Commercials. ACR North American Advances. 39 indexed citations
18.
Wartella, Ellen & Byron Reeves. (1985). Historical Trends in Research on Children and the Media: 1900–1960. Journal of Communication. 35(2). 118–133. 108 indexed citations
19.
Wartella, Ellen & Byron Reeves. (1983). Recurring issues in research on children and media. Educational Technology archive. 23. 5–9. 16 indexed citations
20.
Reeves, Byron & Bradley S. Greenberg. (1977). CHILDREN'S PERCEPTIONS OF TELEVISION CHARACTERS. Human Communication Research. 3(2). 113–127. 64 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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