David Melnikoff

19 papers receiving 541 citations

David Melnikoff's Hit Papers

The Mythical Number Two 2018 · 271 citations
2710+2+5Years since publication50100150200250

Peers

David Melnikoff
Comparison fields: 5 of 87
  • Applied Psychology 164
  • General Decision Sciences 62
  • Cognitive Neuroscience 188
  • Social Psychology 139
  • Experimental and Cognitive Psychology 88
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Paul E. Stillman United States
Paul Seli United States
Kaisa Hytönen Finland
Leor M. Hackel United States
Daniel L. Ames United States
Crystal Reeck United States
Sunhae Sul South Korea
Monika Fleischhauer Germany
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Citations per field
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Citations per year

Countries citing papers authored by David Melnikoff

Since Specialization
Citations

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

Fields of papers citing papers by David Melnikoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
The Mythical Number Two
Hit paper breakdown →
2018271
2 2010100
3 201863
4 201854
5 202227
6 202025
7 201916
8 202410
9 201910
10 20229
11 20229
12 20207
13 20237
14 20206
15 20233
16 20251
17 20231
18 20241
19 20231
20 20250

About David Melnikoff

David Melnikoff is a scholar working on Cognitive Neuroscience, Sociology and Political Science, Experimental and Cognitive Psychology, Applied Psychology and Social Psychology, having authored 20 papers that have together received 621 indexed citations. Recurring topics across this work include Social and Intergroup Psychology (7 papers), Psychology of Moral and Emotional Judgment (6 papers), Behavioral Health and Interventions (5 papers), Cultural Differences and Values (4 papers), Mental Health Research Topics (3 papers), Neural and Behavioral Psychology Studies (3 papers), Decision-Making and Behavioral Economics (3 papers) and Experimental Behavioral Economics Studies (2 papers). The work is most often cited by research in Applied Psychology (164 citations), General Decision Sciences (62 citations), Cognitive Neuroscience (188 citations), Social Psychology (139 citations) and Experimental and Cognitive Psychology (88 citations). David Melnikoff has collaborated with scholars based in United States, Germany and Belgium. Frequent co-authors include John A. Bargh, April H. Bailey, Nina Strohminger, Paul E. Stillman, Stefan Schulz, Kathleen A. Regan, Carlyn A. Patterson, Brian N. Johnson, Melanie K. Tallent and Emily B. Einstein. Their work appears in journals such as Journal of Experimental Social Psychology, Nature Human Behaviour, Trends in Cognitive Sciences, Proceedings of the National Academy of Sciences and Psychological Inquiry.

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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