Jennifer S. Lerner
- Sociology and Political Science top 0.1%
- Social Psychology top 0.1%
- Cognitive Neuroscience top 0.5%
- Applied Psychology top 0.1%
- General Decision Sciences top 0.1%
- Co-authors
- Dacher KeltnerPhilip E. TetlockDeborah A. SmallYe LiPiercarlo ValdesoloKarim KassamBaruch FischhoffRoxana M. Gonzalez
- Topics
- Psychology of Moral and Emotional Judgment (20 papers)Decision-Making and Behavioral Economics (17 papers)Social and Intergroup Psychology (15 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Personality and Social PsychologyJournal of Clinical Oncology
- Partner nations
- United StatesAustraliaSouth Korea
In The Last Decade
Jennifer S. Lerner
73 papers receiving 14.2k citations
Hit Papers
Peers
Comparison fields: 5 of 189
- Sociology and Political Science 5.9k
- Social Psychology 5.0k
- Cognitive Neuroscience 3.0k
- Applied Psychology 2.2k
- General Decision Sciences 1.9k
Countries citing papers authored by Jennifer S. Lerner
This map shows the geographic impact of Jennifer S. Lerner'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 Jennifer S. Lerner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer S. Lerner more than expected).
Fields of papers citing papers by Jennifer S. Lerner
This network shows the impact of papers produced by Jennifer S. Lerner. 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 Jennifer S. Lerner. The network helps show where Jennifer S. Lerner may publish in the future.
Co-authorship network of co-authors of Jennifer S. Lerner
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer S. Lerner. A scholar is included among the top collaborators of Jennifer S. Lerner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jennifer S. Lerner. Jennifer S. Lerner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 20 | |
| 7 | 7 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 64 | |
| 12 | Emotion and Decision Makingbreakdown → | 1687 |
| 13 | 147 | |
| 14 | 24 | |
| 15 | 99 | |
| 16 | 145 | |
| 17 | 211 | |
| 18 | 49 | |
| 19 | Fear, anger, and risk.breakdown → | 2273 |
| 20 | Accounting for the effects of accountability.breakdown → | 1479 |
About Jennifer S. Lerner
Jennifer S. Lerner is a scholar working on General Decision Sciences, Applied Psychology and Behavioral Neuroscience, having authored 74 papers that have together received 15.4k indexed citations. Recurring topics across this work include Psychology of Moral and Emotional Judgment (20 papers), Decision-Making and Behavioral Economics (17 papers) and Social and Intergroup Psychology (15 papers). The work is most often cited by research in General Decision Sciences (1.9k citations), Applied Psychology (2.2k citations) and Social Psychology (5.0k citations). Jennifer S. Lerner has collaborated with scholars based in United States, Australia and South Korea. Frequent co-authors include Dacher Keltner, Philip E. Tetlock, Deborah A. Small, Ye Li, Piercarlo Valdesolo, Karim Kassam, Baruch Fischhoff, Roxana M. Gonzalez, Larissa Z. Tiedens and Philip E. Tetlock. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Personality and Social Psychology and Journal of Clinical Oncology.
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.