Daniel A. Effron

43 papers receiving 2.5k citations

Daniel A. Effron's Hit Papers

Moral Self‐Licensing: When Being Good Frees Us to Be Bad 2010 · 687 citations
6870+5+10Years since publication200400600

Peers

Daniel A. Effron
Comparison fields: 5 of 90
  • General Decision Sciences 159
  • Information Systems and Management 407
  • Cognitive Neuroscience 560
  • Marketing 193
  • Organizational Behavior and Human Resource Management 246
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Elizabeth Mullen United States
Katie A. Liljenquist United States
Niels van de Ven Netherlands
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Rob M. A. Nelissen Netherlands
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Countries citing papers authored by Daniel A. Effron

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Effron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel A. Effron. 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 Daniel A. Effron. The network helps show where Daniel A. Effron may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Moral Self‐Licensing: When Being Good Frees Us to Be Bad
Hit paper breakdown →
2010687
2 2010279
3 2009180
4 2006156
5 2011155
6 2010152
7 2019116
8 201898
9 201578
10 201277
11 201266
12 201551
13 201849
14 201246
15 201545
16 201443
17 201843
18 201539
19 201739
20 202038

About Daniel A. Effron

Daniel A. Effron is a scholar working on Cognitive Neuroscience, General Decision Sciences, Sociology and Political Science, Information Systems and Management and Social Psychology, having authored 45 papers that have together received 2.7k indexed citations. Recurring topics across this work include Psychology of Moral and Emotional Judgment (20 papers), Social and Intergroup Psychology (18 papers), Decision-Making and Behavioral Economics (7 papers), Misinformation and Its Impacts (7 papers), Ethics in Business and Education (6 papers), Psychology of Social Influence (2 papers), Gender and Feminist Studies (2 papers) and Face Recognition and Perception (1 paper). The work is most often cited by research in General Decision Sciences (159 citations), Information Systems and Management (407 citations), Cognitive Neuroscience (560 citations), Marketing (193 citations) and Organizational Behavior and Human Resource Management (246 citations). Daniel A. Effron has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Benoît Monin, Anna C. Merritt, Dale T. Miller, Brian J. Lucas, Paula M. Niedenthal, Paul J. Conway, Sylvie Droit‐Volet, Sandrine Gil, Lee D. Ross and Varda Liberman. Their work appears in journals such as Journal of Experimental Social Psychology, Journal of Personality and Social Psychology, Personality and Social Psychology Bulletin, Current Opinion in Psychology and Journal of Experimental Psychology General.

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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