Cameron S. Kay

730 total citations · 1 hit paper
19 papers, 378 citations indexed

About

Cameron S. Kay is a scholar working on Clinical Psychology, Sociology and Political Science and Cognitive Neuroscience. According to data from OpenAlex, Cameron S. Kay has authored 19 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Clinical Psychology, 10 papers in Sociology and Political Science and 6 papers in Cognitive Neuroscience. Recurrent topics in Cameron S. Kay's work include Personality Traits and Psychology (10 papers), Misinformation and Its Impacts (6 papers) and Psychology of Moral and Emotional Judgment (6 papers). Cameron S. Kay is often cited by papers focused on Personality Traits and Psychology (10 papers), Misinformation and Its Impacts (6 papers) and Psychology of Moral and Emotional Judgment (6 papers). Cameron S. Kay collaborates with scholars based in United States, Serbia and Slovakia. Cameron S. Kay's co-authors include Ljiljana B. Lazarević, Jéssica Esther Machado Farias, Gaëlle Marinthe, Lotte Pummerer, Vladimíra Čavojová, Irena Pavela Banai, Hui Bai, Iris Žeželj, Valerie van Mulukom and Sinan Alper and has published in prestigious journals such as Social Science & Medicine, Personality and Individual Differences and Journal of Research in Personality.

In The Last Decade

Cameron S. Kay

15 papers receiving 368 citations

Hit Papers

Antecedents and consequences of COVID-19 conspiracy belie... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cameron S. Kay United States 9 267 125 113 111 49 19 378
Irena Pavela Banai Croatia 9 291 1.1× 154 1.2× 131 1.2× 91 0.8× 34 0.7× 22 441
Gaëlle Marinthe France 8 353 1.3× 166 1.3× 158 1.4× 110 1.0× 62 1.3× 16 462
Jéssica Esther Machado Farias Brazil 7 277 1.0× 128 1.0× 109 1.0× 76 0.7× 33 0.7× 9 385
Hui Bai United States 8 288 1.1× 117 0.9× 95 0.8× 52 0.5× 59 1.2× 16 374
Chiara Causier United Kingdom 3 241 0.9× 207 1.7× 98 0.9× 101 0.9× 31 0.6× 7 397
Emily Bold United Kingdom 6 240 0.9× 205 1.6× 111 1.0× 110 1.0× 27 0.6× 8 422
Thomas Frissen Belgium 7 244 0.9× 98 0.8× 44 0.4× 87 0.8× 59 1.2× 11 352
Agnieszka E. Łyś Poland 8 180 0.7× 102 0.8× 78 0.7× 148 1.3× 60 1.2× 17 365
Kenzo Nera Belgium 10 414 1.6× 186 1.5× 190 1.7× 54 0.5× 34 0.7× 21 489
Zuzanna Molenda Poland 9 267 1.0× 97 0.8× 68 0.6× 118 1.1× 99 2.0× 25 356

Countries citing papers authored by Cameron S. Kay

Since Specialization
Citations

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

Fields of papers citing papers by Cameron S. Kay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cameron S. Kay. 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 Cameron S. Kay. The network helps show where Cameron S. Kay may publish in the future.

Co-authorship network of co-authors of Cameron S. Kay

This figure shows the co-authorship network connecting the top 25 collaborators of Cameron S. Kay. A scholar is included among the top collaborators of Cameron S. Kay 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 Cameron S. Kay. Cameron S. Kay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
2.
Kay, Cameron S., et al.. (2025). Investigating the structure of the Short Dark Tetrad: Evidence for a common core, distinct factors, and an oversaturated sadism subscale. Personality and Individual Differences. 247. 113406–113406.
3.
Kay, Cameron S.. (2025). Why you shouldn’t trust data collected on MTurk. Behavior Research Methods. 57(12). 340–340.
4.
Kay, Cameron S.. (2024). Validating the IDRIS and IDRIA: Two infrequency/frequency scales for detecting careless and insufficient effort survey responders. Behavior Research Methods. 56(7). 7790–7813. 1 indexed citations
5.
Johnson, Branden B. & Cameron S. Kay. (2024). Affect mediates culture’s effects on COVID-19 risk perceptions, behavioral intentions, and policy support among americans. Health Risk & Society. 27(1-2). 1–26.
6.
Kay, Cameron S. & Holly Arrow. (2023). Eight misconceptions about the elemental approach and aversive personality trait research: A response to Andrews and colleagues (2023). Social and Personality Psychology Compass. 18(1). 2 indexed citations
7.
March, Evita, et al.. (2023). “It’s All in Your Head”: Personality Traits and Gaslighting Tactics in Intimate Relationships. Journal of Family Violence. 40(2). 259–268. 13 indexed citations
8.
Kay, Cameron S. & Gerard Saucier. (2023). The Comprehensive Infrequency/Frequency Item Repository (CIFR): An online database of items for detecting careless/insufficient-effort responders in survey data. Personality and Individual Differences. 205. 112073–112073. 4 indexed citations
9.
Kay, Cameron S. & Paul Slovic. (2022). The generic conspiracist beliefs scale – 5: A short-form measure of conspiracist ideation. Journal of Research in Personality. 102. 104315–104315. 15 indexed citations
10.
Kay, Cameron S. & Holly Arrow. (2022). Taking an elemental approach to the conceptualization and measurement of Machiavellianism, narcissism, and psychopathy. Social and Personality Psychology Compass. 16(4). 16 indexed citations
11.
Mulukom, Valerie van, Lotte Pummerer, Sinan Alper, et al.. (2022). Antecedents and consequences of COVID-19 conspiracy beliefs: A systematic review. Social Science & Medicine. 301. 114912–114912. 193 indexed citations breakdown →
12.
13.
Kay, Cameron S.. (2021). Negative traits, positive assortment: Revisiting the Dark Triad and a preference for similar others. Journal of Social and Personal Relationships. 38(4). 1259–1278. 6 indexed citations
14.
Kay, Cameron S.. (2021). Animal House: The Dark Tetrad traits and membership in sororities and fraternities. Acta Psychologica. 222. 103473–103473. 1 indexed citations
15.
Kay, Cameron S.. (2021). The targets of all treachery: Delusional ideation, paranoia, and the need for uniqueness as mediators between two forms of narcissism and conspiracy beliefs. Journal of Research in Personality. 93. 104128–104128. 24 indexed citations
16.
Kay, Cameron S. & Gerard Saucier. (2020). Insert a joke about lawyers: Evaluating preferences for the Dark Triad traits in six occupations. Personality and Individual Differences. 159. 109863–109863. 8 indexed citations
17.
Kay, Cameron S. & Gerard Saucier. (2020). Deviating from the social consensus: Relations among the Dark Triad, moral normativity, and general social normativity. Personality and Individual Differences. 159. 109889–109889. 8 indexed citations
18.
Mulukom, Valerie van, Lotte Pummerer, Sinan Alper, et al.. (2020). Antecedents and consequences of COVID-19 conspiracy beliefs: a systematic review. Pure (Coventry University). 54 indexed citations
19.
Kay, Cameron S.. (2020). Actors of the most fiendish character: Explaining the associations between the Dark Tetrad and conspiracist ideation. Personality and Individual Differences. 171. 110543–110543. 30 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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