Bennett Kleinberg

2.5k citations
57 papers · 1.0k · h-index 19

Impact in

    • Deception detection and forensic psychology
    • Blockchain Technology Applications and Security
    • Spam and Phishing Detection
    • Cybercrime and Law Enforcement Studies

Papers in

    • Hate Speech and Cyberbullying Detection 10
    • Adversarial Robustness in Machine Learning 6
    • Authorship Attribution and Profiling 6
    • Topic Modeling 6
    • Deception detection and forensic psychology 23

Bennett Kleinberg

54 papers receiving 965 citations

Peers

Bennett Kleinberg
Comparison fields: 5 of 78
  • Social Psychology 362
  • Information Systems 388
  • Artificial Intelligence 408
  • Clinical Psychology 187
  • Sociology and Political Science 432
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Citations per year

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-authors

The 25 scholars most cited alongside Bennett Kleinberg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bennett Kleinberg Line = papers co-authored together Bennett Kleinberg links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Automatic Detection of Fake News
2018140
2 2018114
3 202299
4 201557
5 202350
6 201744
7 201543
8 202239
9 201933
10 201531
11 201729
12 201828
13 202028
14 201525
15 202322
16 202120
17 201619
18 201919
19 202018
20 201818

About Bennett Kleinberg

Bennett Kleinberg is a scholar working on Artificial Intelligence, Social Psychology, Sociology and Political Science, Information Systems and Clinical Psychology, having authored 57 papers that have together received 1.0k indexed citations. Recurring topics across this work include Deception detection and forensic psychology (23 papers), Misinformation and Its Impacts (12 papers), Hate Speech and Cyberbullying Detection (10 papers), Psychopathy, Forensic Psychiatry, Sexual Offending (10 papers), Adversarial Robustness in Machine Learning (6 papers), Authorship Attribution and Profiling (6 papers), Topic Modeling (6 papers) and Crime, Illicit Activities, and Governance (5 papers). The work is most often cited by research in Social Psychology (362 citations), Information Systems (388 citations), Artificial Intelligence (408 citations), Clinical Psychology (187 citations) and Sociology and Political Science (432 citations). Bennett Kleinberg has collaborated with scholars based in Netherlands, United Kingdom and Germany. Frequent co-authors include Bruno Verschuère, Verónica Pérez‐Rosas, Rada Mihalcea, Shane D. Johnson, Arnoud Arntz, T. Davies, Maximilian Mozes, Paul Gill, Isabelle van der Vegt and Ella Cockbain. Their work appears in journals such as Journal of Applied Research in Memory and Cognition, Crime Science, PLoS ONE, Applied Cognitive Psychology and Journal of Forensic Sciences.

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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