Jeffrey T. Hancock

23.1k total citations · 12 hit papers
220 papers, 13.8k citations indexed

About

Jeffrey T. Hancock is a scholar working on Sociology and Political Science, Social Psychology and Artificial Intelligence. According to data from OpenAlex, Jeffrey T. Hancock has authored 220 papers receiving a total of 13.8k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Sociology and Political Science, 87 papers in Social Psychology and 51 papers in Artificial Intelligence. Recurrent topics in Jeffrey T. Hancock's work include Misinformation and Its Impacts (44 papers), Impact of Technology on Adolescents (36 papers) and Deception detection and forensic psychology (35 papers). Jeffrey T. Hancock is often cited by papers focused on Misinformation and Its Impacts (44 papers), Impact of Technology on Adolescents (36 papers) and Deception detection and forensic psychology (35 papers). Jeffrey T. Hancock collaborates with scholars based in United States, Canada and Sweden. Jeffrey T. Hancock's co-authors include Jamie Guillory, Catalina L. Toma, Adam Kramer, Amy Gonzales, Nicole B. Ellison, Mor Naaman, Mufan Luo, Myle Ott, Claire Cardie and Philip J. Dunham and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and JAMA.

In The Last Decade

Jeffrey T. Hancock

211 papers receiving 13.0k citations

Hit Papers

Experimental evidence of ... 2010 2026 2015 2020 2014 2010 2011 2018 2013 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
Jeffrey T. Hancock United States 63 6.9k 3.5k 3.2k 2.3k 1.7k 220 13.8k
Judee K. Burgoon United States 69 7.1k 1.0× 9.7k 2.8× 2.8k 0.9× 2.5k 1.1× 2.1k 1.2× 270 18.2k
S. Shyam Sundar United States 59 7.6k 1.1× 2.2k 0.6× 2.9k 0.9× 2.8k 1.3× 385 0.2× 248 13.0k
Robert E. Kraut United States 78 11.0k 1.6× 5.4k 1.5× 2.6k 0.8× 8.2k 3.6× 1.7k 1.0× 277 25.8k
Sara Kiesler United States 78 12.6k 1.8× 8.6k 2.5× 3.3k 1.0× 8.8k 3.8× 1.6k 0.9× 232 28.5k
Joseph B. Walther United States 46 8.8k 1.3× 5.9k 1.7× 1.1k 0.3× 6.6k 2.9× 986 0.6× 112 15.9k
Clifford Nass United States 55 4.8k 0.7× 6.5k 1.9× 4.9k 1.5× 951 0.4× 471 0.3× 170 14.9k
Michał Kosiński United Kingdom 40 3.2k 0.5× 2.1k 0.6× 2.2k 0.7× 738 0.3× 2.0k 1.2× 81 9.4k
David Stillwell United Kingdom 35 3.0k 0.4× 2.0k 0.6× 1.9k 0.6× 707 0.3× 1.8k 1.0× 76 8.2k
Nicole B. Ellison United States 52 22.4k 3.3× 2.5k 0.7× 1.6k 0.5× 12.7k 5.6× 2.5k 1.5× 106 30.2k
Munmun De Choudhury United States 52 2.7k 0.4× 3.6k 1.0× 2.5k 0.8× 908 0.4× 1.2k 0.7× 206 8.7k

Countries citing papers authored by Jeffrey T. Hancock

Since Specialization
Citations

This map shows the geographic impact of Jeffrey T. Hancock'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 Jeffrey T. Hancock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey T. Hancock more than expected).

Fields of papers citing papers by Jeffrey T. Hancock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey T. Hancock. 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 Jeffrey T. Hancock. The network helps show where Jeffrey T. Hancock may publish in the future.

Co-authorship network of co-authors of Jeffrey T. Hancock

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey T. Hancock. A scholar is included among the top collaborators of Jeffrey T. Hancock 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 Jeffrey T. Hancock. Jeffrey T. Hancock 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
3.
Lu, Yingdan, et al.. (2025). Contextualizing Misinformation: A User-Centric Approach to Linguistic and Topical Patterns in News Consumption. Proceedings of the ACM on Human-Computer Interaction. 9(7). 1–40.
4.
Han, Eugy, et al.. (2024). The influence of spatial dimensions of virtual environments on attitudes and nonverbal behaviors during social interactions. Journal of Environmental Psychology. 95. 102269–102269. 5 indexed citations
5.
Vaid, Sumer S., Lara Kroencke, Sanaz Talaifar, et al.. (2024). Variation in social media sensitivity across people and contexts. Scientific Reports. 14(1). 6571–6571. 9 indexed citations
6.
Lee, Angela Y., Ryan C. Moore, & Jeffrey T. Hancock. (2024). Building resilience to misinformation in communities of color: Results from two studies of tailored digital media literacy interventions. New Media & Society. 27(6). 3545–3576. 3 indexed citations
7.
Fauville, Géraldine, Mufan Luo, Anna Carolina Muller Queiroz, et al.. (2023). Video-conferencing usage dynamics and nonverbal mechanisms exacerbate Zoom Fatigue, particularly for women. Computers in Human Behavior Reports. 10. 100271–100271. 36 indexed citations
8.
Lee, Angela Y., Nicole B. Ellison, & Jeffrey T. Hancock. (2023). To use or be used? The role of agency in social media use and well-being. Frontiers in Computer Science. 5. 9 indexed citations
9.
Markowitz, David M., et al.. (2023). Contextual considerations for deception production and detection in forensic interviews. Frontiers in Psychology. 14. 1134052–1134052. 4 indexed citations
10.
Moore, Ryan C., Jeffrey T. Hancock, & Jeremy N. Bailenson. (2023). From 65 to 103, Older Adults Experience Virtual Reality Differently Depending on Their Age: Evidence from a Large-Scale Field Study in Nursing Homes and Assisted Living Facilities. Cyberpsychology Behavior and Social Networking. 26(12). 886–895. 6 indexed citations
11.
Hancock, Jeffrey T., et al.. (2022). Folk Theories of Online Dating: Exploring People’s Beliefs About the Online Dating Process and Online Dating Algorithms. Social Media + Society. 8(2). 18 indexed citations
12.
Grossman, Shelby, et al.. (2021). Introducing the Journal of Online Trust and Safety. 1(1). 3 indexed citations
13.
Hancock, Jeffrey T., et al.. (2021). Will You Go on a Date with Me? Predicting First Dates from Linguistic Traces in Online Dating Messages. Journal of Language and Social Psychology. 41(4). 371–395. 2 indexed citations
14.
Oakley‐Girvan, Ingrid, et al.. (2019). Evaluation of a Mobile Device Survey System for Behavioral Risk Factors (SHAPE): App Development and Usability Study. JMIR Formative Research. 3(1). e10246–e10246. 6 indexed citations
15.
Klenk, Michael & Jeffrey T. Hancock. (2019). Autonomy and Online Manipulation. Internet Policy Review. 1. 7 indexed citations
16.
Tong, Stephanie Tom, et al.. (2018). Online Daters' Willingness to Use Recommender Technology for Mate Selection Decisions.. Conference on Recommender Systems. 45–52. 5 indexed citations
17.
Kramer, Adam, Jamie Guillory, & Jeffrey T. Hancock. (2014). Experimental evidence of massive-scale emotional contagion through social networks. Proceedings of the National Academy of Sciences. 111(24). 8788–8790. 1967 indexed citations breakdown →
18.
Ott, Myle, Claire Cardie, & Jeffrey T. Hancock. (2013). Negative Deceptive Opinion Spam. North American Chapter of the Association for Computational Linguistics. 497–501. 191 indexed citations
19.
Peña, Jorge, et al.. (2006). Avatar Color and Social Identity Effects On Attitudes and Group Dynamics in Online Video Games. Advances in Skin & Wound Care. 32(11). 1–26. 4 indexed citations
20.
Hancock, Jeffrey T., et al.. (2004). Lies in Conversation: An Examination of Deception Using Automated Linguistic Analysis. eScholarship (California Digital Library). 26(26). 21 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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