Gideon Nave

50 papers receiving 3.1k citations

Gideon Nave's Hit Papers

Ideation with Generative AI—in Consumer Research and Beyond 2025 · 17 citations
170+3+6Years since publication250500750

Peers

Gideon Nave
Comparison fields: 5 of 170
  • General Decision Sciences 252
  • Applied Psychology 265
  • Experimental and Cognitive Psychology 611
  • Statistics, Probability and Uncertainty 274
  • Safety Research 310
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Countries citing papers authored by Gideon Nave

Since Specialization
Citations

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

Fields of papers citing papers by Gideon Nave

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Evaluating replicability of laboratory experiments in economics
Hit paper breakdown →
2016807
2
Psychological targeting as an effective approach to digital mass persuasion
Hit paper breakdown →
2017547
3 2015208
4 1993172
5 2020145
6
Associations between alcohol consumption and gray and white matter volumes in the UK Biobank
Hit paper breakdown →
2022140
7 2018126
8 2020109
9 2016105
10 201768
11 201968
12 201966
13 201659
14 201854
15 201849
16 201648
17 201846
18 202143
19 202041
20 201541

About Gideon Nave

Gideon Nave is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Sociology and Political Science, Marketing and Applied Psychology, having authored 54 papers that have together received 3.3k indexed citations. Recurring topics across this work include Psychology of Moral and Emotional Judgment (10 papers), Evolutionary Psychology and Human Behavior (9 papers), Consumer Behavior in Brand Consumption and Identification (7 papers), Behavioral Health and Interventions (6 papers), Decision-Making and Behavioral Economics (6 papers), Experimental Behavioral Economics Studies (5 papers), Hormonal and reproductive studies (5 papers) and Neuroendocrine regulation and behavior (4 papers). The work is most often cited by research in General Decision Sciences (252 citations), Applied Psychology (265 citations), Experimental and Cognitive Psychology (611 citations), Statistics, Probability and Uncertainty (274 citations) and Safety Research (310 citations). Gideon Nave has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Colin F. Camerer, David Stillwell, Michał Kosiński, Sandra Matz, Arnon D. Cohen, Michael E. McCullough, Jürgen Huber, Michael Kirchler, Taisuke Imai and Anna Dreber. Their work appears in journals such as Nature Communications, Journal of Marketing Research, Hormones and Behavior, Psychological Science and Proceedings of the National Academy of 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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