Leonard S. Newman

3.9k total citations
68 papers, 2.4k citations indexed

About

Leonard S. Newman is a scholar working on Sociology and Political Science, Social Psychology and Cognitive Neuroscience. According to data from OpenAlex, Leonard S. Newman has authored 68 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Sociology and Political Science, 30 papers in Social Psychology and 24 papers in Cognitive Neuroscience. Recurrent topics in Leonard S. Newman's work include Social and Intergroup Psychology (30 papers), Psychology of Moral and Emotional Judgment (15 papers) and Cultural Differences and Values (14 papers). Leonard S. Newman is often cited by papers focused on Social and Intergroup Psychology (30 papers), Psychology of Moral and Emotional Judgment (15 papers) and Cultural Differences and Values (14 papers). Leonard S. Newman collaborates with scholars based in United States, United Kingdom and China. Leonard S. Newman's co-authors include Roy F. Baumeister, James S. Uleman, Patrick W. Corrigan, David L. Penn, Richard P. Bentall, Diane N. Ruble, Ralph Erber, W. Steven Rholes, Tracy L. Caldwell and Laraine Winter and has published in prestigious journals such as Journal of Personality and Social Psychology, Psychological Bulletin and American Psychologist.

In The Last Decade

Leonard S. Newman

66 papers receiving 2.2k citations

Peers

Leonard S. Newman
Comparison fields: 5 of 128
  • Social Psychology 872
  • Sociology and Political Science 870
  • Cognitive Neuroscience 593
  • Clinical Psychology 546
  • Experimental and Cognitive Psychology 543
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Citations per field, relative to Leonard S. Newman
Leonard S. Newman · 1×
Citations per year, relative to Leonard S. Newman
Leonard S. Newman · 1×

Countries citing papers authored by Leonard S. Newman

Since Specialization
Citations

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

Fields of papers citing papers by Leonard S. Newman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leonard S. Newman. 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 Leonard S. Newman. The network helps show where Leonard S. Newman may publish in the future.

Co-authorship network of co-authors of Leonard S. Newman

This figure shows the co-authorship network connecting the top 25 collaborators of Leonard S. Newman. A scholar is included among the top collaborators of Leonard S. Newman 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 Leonard S. Newman. Leonard S. Newman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 27
3
Attributional complexity and the illusory correlation: A test of the inverted-U hypothesis
1
4 16
5 12
6 40
7 11
8 6
9 15
10 7
11 61
12 2
13 35
14
When the Stakes are Higher: Self-esteem Instability and Self-handicapping
37
15 413
16 109
17 62
18 66
19 125
20 2

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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