David E. Melnikoff

19 papers receiving 557 citations

David E. Melnikoff's Hit Papers

The Mythical Number Two 2018 · 282 citations
2820+2+5Years since publication50100150200250

Peers

David E. Melnikoff
Comparison fields: 5 of 75
  • General Decision Sciences 108
  • Applied Psychology 133
  • Cognitive Neuroscience 138
  • General Psychology 9
  • Developmental Neuroscience 11
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Jordan Livingston United States
Liviu G. Crişan Romania
Annemarie Kalis Netherlands
Danka Purić Serbia
Mark Snyderman United States
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Gabriele Chierchia United Kingdom
Niv Reggev Israel
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Countries citing papers authored by David E. Melnikoff

Since Specialization
Citations

This map shows the geographic impact of David E. 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 E. 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 E. Melnikoff more than expected).

Fields of papers citing papers by David E. Melnikoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David E. 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 E. Melnikoff Line = papers co-authored together David E. 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 →
2018282
2 2010102
3 201868
4 201856
5 202231
6 202024
7 201916
8 202210
9 202410
10 20229
11 20198
12 20207
13 20207
14 20237
15 20235
16 20231
17 20231
18 20241
19 20251
20 20230

About David E. Melnikoff

David E. Melnikoff is a scholar working on General Decision Sciences, Cognitive Neuroscience, Applied Psychology, Developmental and Educational Psychology and Sociology and Political Science, having authored 20 papers that have together received 646 indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (7 papers), Social and Intergroup Psychology (7 papers), Neural and Behavioral Psychology Studies (3 papers), Flow Experience in Various Fields (2 papers), Psychology of Social Influence (2 papers), Behavioral Health and Interventions (2 papers), Cognitive Science and Education Research (2 papers) and Philosophy and Theoretical Science (1 paper). The work is most often cited by research in General Decision Sciences (108 citations), Applied Psychology (133 citations), Cognitive Neuroscience (138 citations), General Psychology (9 citations) and Developmental Neuroscience (11 citations). David E. Melnikoff has collaborated with scholars based in United States, Germany and Belgium. Frequent co-authors include John A. Bargh, April Hope Bailey, Nina Strohminger, Paul E. Stillman, Ryan W. Carlson, Melanie K. Tallent, Kathleen A. Regan, Emily B. Einstein, Stefan Schulz and Brian N. Johnson. 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 Behavior Research Methods.

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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