Bennett Kleinberg

2.5k total citations · 1 hit paper
51 papers, 873 citations indexed

About

Bennett Kleinberg is a scholar working on Artificial Intelligence, Sociology and Political Science and Social Psychology. According to data from OpenAlex, Bennett Kleinberg has authored 51 papers receiving a total of 873 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 23 papers in Sociology and Political Science and 22 papers in Social Psychology. Recurrent topics in Bennett Kleinberg's work include Deception detection and forensic psychology (20 papers), Misinformation and Its Impacts (11 papers) and Psychopathy, Forensic Psychiatry, Sexual Offending (10 papers). Bennett Kleinberg is often cited by papers focused on Deception detection and forensic psychology (20 papers), Misinformation and Its Impacts (11 papers) and Psychopathy, Forensic Psychiatry, Sexual Offending (10 papers). Bennett Kleinberg collaborates with scholars based in Netherlands, United Kingdom and Germany. Bennett Kleinberg's co-authors include Bruno Verschuère, Rada Mihalcea, Verónica Pérez‐Rosas, Shane D. Johnson, Arnoud Arntz, T. Davies, Maximilian Mozes, Isabelle van der Vegt, Paul Gill and Ella Cockbain and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Acta Psychologica.

In The Last Decade

Bennett Kleinberg

48 papers receiving 826 citations

Hit Papers

Cryptocurrencies and future financial crime 2022 2026 2023 2024 2022 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bennett Kleinberg Netherlands 17 377 356 329 323 164 51 873
Douglas P. Twitchell United States 13 399 1.1× 450 1.3× 486 1.5× 563 1.7× 148 0.9× 33 1.0k
Marilyn Walker United States 14 189 0.5× 961 2.7× 174 0.5× 261 0.8× 282 1.7× 25 1.4k
Megan Squire United States 9 206 0.5× 323 0.9× 206 0.6× 70 0.2× 27 0.2× 31 722
Bruce Ferwerda Sweden 15 158 0.4× 116 0.3× 140 0.4× 52 0.2× 121 0.7× 44 612
Cristina Robles United States 4 262 0.7× 271 0.8× 152 0.5× 152 0.5× 305 1.9× 7 821
Saurabh Goorha United States 5 213 0.6× 214 0.6× 143 0.4× 245 0.8× 75 0.5× 7 467
Woodrow Hartzog United States 15 452 1.2× 177 0.5× 126 0.4× 39 0.1× 62 0.4× 64 735
Dominic DiFranzo United States 16 274 0.7× 349 1.0× 136 0.4× 123 0.4× 27 0.2× 34 739
Elena Filatova United States 12 139 0.4× 568 1.6× 119 0.4× 57 0.2× 28 0.2× 24 910
Zhengchuan Xu China 11 438 1.2× 43 0.1× 314 1.0× 76 0.2× 43 0.3× 26 777

Countries citing papers authored by Bennett Kleinberg

Since Specialization
Citations

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

Fields of papers citing papers by Bennett Kleinberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bennett Kleinberg

This figure shows the co-authorship network connecting the top 25 collaborators of Bennett Kleinberg. A scholar is included among the top collaborators of Bennett Kleinberg 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 Bennett Kleinberg. Bennett Kleinberg 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.
Kleinberg, Bennett, et al.. (2025). Capturing causal claims: A fine-tuned text mining model for extracting causal sentences from social science papers. Research Synthesis Methods. 16(1). 139–156. 1 indexed citations
2.
Kleinberg, Bennett, et al.. (2024). Detecting DeFi securities violations from token smart contract code. Financial Innovation. 10(1). 3 indexed citations
3.
Stavrova, Olga, et al.. (2024). Expressions of uncertainty in online science communication hinder information diffusion. PNAS Nexus. 3(10). pgae439–pgae439. 1 indexed citations
4.
Davies, T., et al.. (2024). Large language models in cryptocurrency securities cases: can a GPT model meaningfully assist lawyers?. Artificial Intelligence and Law. 33(3). 691–737. 4 indexed citations
5.
Kleinberg, Bennett, et al.. (2023). Counterfeits on dark markets: a measurement between Jan-2014 and Sep-2015. Crime Science. 12(1). 3 indexed citations
6.
Verschuère, Bruno, et al.. (2023). The use-the-best heuristic facilitates deception detection. Nature Human Behaviour. 7(5). 718–728. 15 indexed citations
7.
Vegt, Isabelle van der & Bennett Kleinberg. (2023). A multi-modal panel dataset to understand the psychological impact of the pandemic. Scientific Data. 10(1). 537–537. 1 indexed citations
8.
Vegt, Isabelle van der, Bennett Kleinberg, & Paul Gill. (2023). Proceed with caution: on the use of computational linguistics in threat assessment. Journal of Policing Intelligence and Counter Terrorism. 18(2). 231–239. 1 indexed citations
9.
Griffin, Lewis D., et al.. (2023). Large Language Models respond to Influence like Humans. 15–24. 4 indexed citations
10.
Puijenbroek, Eugène van, et al.. (2023). Infections in Biological and Targeted Synthetic Drug Use in Rheumatoid Arthritis: Where do We Stand? A Scoping Review and Meta-analysis. Rheumatology and Therapy. 10(5). 1147–1165. 4 indexed citations
11.
Johnson, Shane D., et al.. (2023). Testing human ability to detect ‘deepfake’ images of human faces. Tilburg University Research Portal. 9(1). 43 indexed citations
12.
Mozes, Maximilian, Bennett Kleinberg, & Lewis D. Griffin. (2022). Identifying Human Strategies for Generating Word-Level Adversarial Examples. 6118–6126.
13.
Kleinberg, Bennett, et al.. (2022). Confounds and overestimations in fake review detection: Experimentally controlling for product-ownership and data-origin. PLoS ONE. 17(12). e0277869–e0277869. 1 indexed citations
14.
Kleinberg, Bennett, et al.. (2022). Cryptocurrencies and future financial crime. Crime Science. 11(1). 1–1. 83 indexed citations breakdown →
15.
Vegt, Isabelle van der, Maximilian Mozes, Paul Gill, & Bennett Kleinberg. (2020). Online influence, offline violence: Language Use on YouTube surrounding the 'Unite the Right' rally. RePEc: Research Papers in Economics. 16 indexed citations
16.
Vegt, Isabelle van der, Maximilian Mozes, Paul Gill, & Bennett Kleinberg. (2019). Online influence, offline violence: Linguistic responses to the 'Unite the Right' rally. arXiv (Cornell University). 1 indexed citations
17.
Kleinberg, Bennett, Arnoud Arntz, & Bruno Verschuère. (2019). Being accurate about accuracy in verbal deception detection. PLoS ONE. 14(8). e0220228–e0220228. 16 indexed citations
18.
Kleinberg, Bennett, et al.. (2018).  . Applied Cognitive Psychology. 32(6). 830–830. 1 indexed citations
19.
Kleinberg, Bennett, Maximilian Mozes, & Isabelle van der Vegt. (2018). Identifying the narrative styles of YouTube's vloggers.. Empirical Methods in Natural Language Processing. 3581–3590. 1 indexed citations
20.
Ammar, Nawal H., et al.. (2016). Less is more? Detecting lies in veiled witnesses.. Law and Human Behavior. 40(4). 401–410. 19 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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