Kobe Millet

36 papers receiving 748 citations

Kobe Millet's Hit Papers

Defending humankind: Anthropocentric bias in the appreciation of AI art 2023 · 67 citations
670+1+2Years since publication204060

Peers

Kobe Millet
Comparison fields: 5 of 104
  • General Decision Sciences 50
  • Marketing 176
  • Experimental and Cognitive Psychology 221
  • Applied Psychology 58
  • Safety Research 88
Replace Elaine M. Wong with:
Elaine M. Wong United States
Richard Ronay Netherlands
Michael P. Haselhuhn United States
Marcelo Vinhal Nepomuceno Canada
Jill M. Sundie United States
Daniel M. Bartels United States
Antonio M. Espín Spain
Jane Nash United States
Astrid Hopfensitz France
Tripat Gill Canada
Kobe Millet relative to Elaine M. Wong United States Elaine M. Wong's profile →
Citations per field
00.5×1.5×
Elaine M. Wong · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Kobe Millet, 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 Kobe Millet Line = papers co-authored together Kobe Millet links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200691
2 200571
3
Defending humankind: Anthropocentric bias in the appreciation of AI art
Hit paper breakdown →
202367
4 201064
5 202060
6 200757
7 200851
8 202034
9 201031
10 200630
11 201029
12 202026
13 200726
14 201126
15 202023
16 201815
17 201513
18 201210
19 20169
20 20198

About Kobe Millet

Kobe Millet is a scholar working on Sociology and Political Science, Social Psychology, Experimental and Cognitive Psychology, Applied Psychology and Marketing, having authored 40 papers that have together received 790 indexed citations. Recurring topics across this work include Social and Intergroup Psychology (7 papers), Sexual Differentiation and Disorders (7 papers), Behavioral Health and Interventions (6 papers), Evolutionary Psychology and Human Behavior (6 papers), Consumer Behavior in Brand Consumption and Identification (5 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers), Environmental Education and Sustainability (4 papers) and Decision-Making and Behavioral Economics (3 papers). The work is most often cited by research in General Decision Sciences (50 citations), Marketing (176 citations), Experimental and Cognitive Psychology (221 citations), Applied Psychology (58 citations) and Safety Research (88 citations). Kobe Millet has collaborated with scholars based in Netherlands, Belgium and United States. Frequent co-authors include Siegfried Dewitte, Bram Van den Bergh, Mario Pandelaere, Peeter W.J. Verlegh, Bert Weijters, Michail D. Kokkoris, Lien Lamey, Kim Janssens, Keith Roe and Norbert Vanbeselaere. Their work appears in journals such as Journal of Environmental Psychology, Journal of Consumer Psychology, International Journal of Research in Marketing, European Journal of Social Psychology and Personality and Individual Differences.

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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