Kobe Millet

1.1k total citations · 1 hit paper
40 papers, 790 citations indexed

About

Kobe Millet is a scholar working on Sociology and Political Science, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Kobe Millet has authored 40 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Sociology and Political Science, 11 papers in Social Psychology and 9 papers in Experimental and Cognitive Psychology. Recurrent topics in Kobe Millet's work include Sexual Differentiation and Disorders (7 papers), Social and Intergroup Psychology (7 papers) and Behavioral Health and Interventions (6 papers). Kobe Millet is often cited by papers focused on Sexual Differentiation and Disorders (7 papers), Social and Intergroup Psychology (7 papers) and Behavioral Health and Interventions (6 papers). Kobe Millet collaborates with scholars based in Netherlands, Belgium and United States. Kobe Millet's co-authors include Siegfried Dewitte, Bram Van den Bergh, Mario Pandelaere, Peeter W.J. Verlegh, Michail D. Kokkoris, Bert Weijters, Lien Lamey, Keith Roe, Kim Janssens and Aylin Aydinli and has published in prestigious journals such as PLoS ONE, Journal of Marketing Research and Computers in Human Behavior.

In The Last Decade

Kobe Millet

36 papers receiving 748 citations

Hit Papers

Defending humankind: Anthropocentric bias in the apprecia... 2023 2026 2024 2025 2023 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kobe Millet Netherlands 16 221 198 197 176 126 40 790
Richard Ronay Netherlands 15 350 1.6× 343 1.7× 59 0.3× 40 0.2× 291 2.3× 27 919
Marcelo Vinhal Nepomuceno Canada 17 116 0.5× 416 2.1× 74 0.4× 583 3.3× 132 1.0× 36 1.0k
Michael P. Haselhuhn United States 14 485 2.2× 392 2.0× 29 0.1× 137 0.8× 235 1.9× 22 1.1k
Antonio M. Espín Spain 18 129 0.6× 293 1.5× 62 0.3× 14 0.1× 128 1.0× 51 972
Elaine M. Wong United States 15 532 2.4× 287 1.4× 28 0.1× 267 1.5× 169 1.3× 24 1.3k
Takashi Kusumi Japan 20 196 0.9× 305 1.5× 72 0.4× 66 0.4× 451 3.6× 164 1.2k
Andrea Davies United Kingdom 13 14 0.1× 402 2.0× 12 0.1× 286 1.6× 169 1.3× 27 776
Daniel M. Bartels United States 18 131 0.6× 322 1.6× 7 0.0× 158 0.9× 267 2.1× 56 1.0k
Yaoqi Li China 25 104 0.5× 952 4.8× 55 0.3× 766 4.4× 207 1.6× 83 1.7k
Taly Reich United States 13 40 0.2× 252 1.3× 14 0.1× 103 0.6× 110 0.9× 28 732

Countries citing papers authored by Kobe Millet

Since Specialization
Citations

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

Fields of papers citing papers by Kobe Millet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kobe Millet

This figure shows the co-authorship network connecting the top 25 collaborators of Kobe Millet. A scholar is included among the top collaborators of Kobe Millet 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 Kobe Millet. Kobe Millet 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.
Millet, Kobe, et al.. (2025). The Environmental Decision Task: A new behavioral paradigm for studying the money-environment trade-off. Journal of Environmental Psychology. 105. 102677–102677.
2.
Millet, Kobe & Bert Weijters. (2024). The value of multi-proxy experiments to study pro-environmental behavior. Journal of Environmental Psychology. 101. 102495–102495. 1 indexed citations
3.
4.
Mead, Nicole L., et al.. (2023). When cash costs you: The pain of holding coins over banknotes. Journal of Consumer Psychology. 34(4). 641–649. 3 indexed citations
5.
Millet, Kobe, et al.. (2023). Are consumers more or less averse to wasting organic food?. Journal of Environmental Psychology. 93. 102222–102222. 7 indexed citations
6.
Lei, Jing, et al.. (2023). Reversing the denomination effect in tipping contexts. Journal of Consumer Psychology. 34(2). 351–358.
7.
Millet, Kobe & Bert Weijters. (2023). The behavioral intervention "positive cueing": Altering self-perception, increasing green awareness, or undermining the signaling value of costly green behavior?. Journal of Environmental Psychology. 87. 101979–101979. 5 indexed citations
8.
Horen, Femke van, et al.. (2022). A dark side of hope: Understanding why investors cling onto losing stocks. Journal of Behavioral Decision Making. 36(3). 3 indexed citations
9.
Lee, Spike W. S., et al.. (2022). Actual Cleaning and Simulated Cleaning Attenuate Psychological and Physiological Effects of Stressful Events. Social Psychological and Personality Science. 14(4). 381–394.
10.
Horen, Femke van, et al.. (2020). What we talk about when we talk about hope: A prototype analysis.. Emotion. 22(4). 751–768. 26 indexed citations
11.
Kleijnen, Mirella, Birgit I. Lissenberg‐Witte, Cornelia F. van Uden–Kraan, et al.. (2019). Understanding Drivers of Resistance Toward Implementation of Web-Based Self-Management Tools in Routine Cancer Care Among Oncology Nurses: Cross-Sectional Survey Study. Journal of Medical Internet Research. 21(12). e14985–e14985. 8 indexed citations
12.
Millet, Kobe & Aylin Aydinli. (2019). Cognitive reflection, 2D:4D and social value orientation. PLoS ONE. 14(2). e0212767–e0212767. 2 indexed citations
13.
Millet, Kobe, et al.. (2018). A Context Dependent Interpretation of Inconsistencies in 2D:4D Findings: The Moderating Role of Status Relevance. Frontiers in Behavioral Neuroscience. 11. 254–254. 15 indexed citations
14.
Millet, Kobe, et al.. (2015). The Influence of Facial Characteristics on the Relation between Male 2D:4D and Dominance. PLoS ONE. 10(11). e0143307–e0143307. 13 indexed citations
15.
Pandelaere, Mario, Kobe Millet, & Bram Van den Bergh. (2009). First Is Best: First Exposure Effects in Aesthetic Judgments. ACR North American Advances. 36. 753–753. 2 indexed citations
16.
Millet, Kobe & Siegfried Dewitte. (2008). The presence of aggression cues inverts the relation between digit ratio (2D:4D) and prosocial behaviour in a dictator game. British Journal of Psychology. 100(1). 151–162. 51 indexed citations
17.
Millet, Kobe. (2007). Prenatal testosterone, personality, and economic behavior. Lirias (KU Leuven). 4 indexed citations
18.
Millet, Kobe & Siegfried Dewitte. (2007). Digit ratio (2D:4D) moderates the impact of an aggressive music video on aggression. Personality and Individual Differences. 43(2). 289–294. 57 indexed citations
19.
Millet, Kobe, et al.. (2005). Digit extension: validation of a new biometric variable. Breast Cancer Research and Treatment. 182(3). 631–642. 1 indexed citations
20.
Millet, Kobe & Siegfried Dewitte. (2005). Second to fourth digit ratio and cooperative behavior. Biological Psychology. 71(1). 111–115. 71 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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