James M. Dabbs

8.5k total citations
124 papers, 6.1k citations indexed

About

James M. Dabbs is a scholar working on Experimental and Cognitive Psychology, Social Psychology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, James M. Dabbs has authored 124 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Experimental and Cognitive Psychology, 32 papers in Social Psychology and 24 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in James M. Dabbs's work include Evolutionary Psychology and Human Behavior (35 papers), Hormonal and reproductive studies (24 papers) and Social and Intergroup Psychology (13 papers). James M. Dabbs is often cited by papers focused on Evolutionary Psychology and Human Behavior (35 papers), Hormonal and reproductive studies (24 papers) and Social and Intergroup Psychology (13 papers). James M. Dabbs collaborates with scholars based in United States, United Kingdom and Russia. James M. Dabbs's co-authors include Alan Booth, Robin Morris, Howard Leventhal, Jean E. Johnson, Charles H. Hopper, Gregory J. Jurkovic, Allan Mazur, James W. Pennebaker, Paul C. Bernhardt and J. E. Cotes and has published in prestigious journals such as The Lancet, Journal of Personality and Social Psychology and The Journal of Physiology.

In The Last Decade

James M. Dabbs

121 papers receiving 5.6k citations

Peers

James M. Dabbs
Comparison fields: 5 of 183
  • Experimental and Cognitive Psychology 2.5k
  • Social Psychology 1.7k
  • Sociology and Political Science 1.3k
  • Clinical Psychology 1.1k
  • Endocrinology, Diabetes and Metabolism 857
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Citations per field, relative to James M. Dabbs
James M. Dabbs · 1×
Citations per year, relative to James M. Dabbs
James M. Dabbs · 1×

Countries citing papers authored by James M. Dabbs

Since Specialization
Citations

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

Fields of papers citing papers by James M. Dabbs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James M. Dabbs. 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 James M. Dabbs. The network helps show where James M. Dabbs may publish in the future.

Co-authorship network of co-authors of James M. Dabbs

This figure shows the co-authorship network connecting the top 25 collaborators of James M. Dabbs. A scholar is included among the top collaborators of James M. Dabbs 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 James M. Dabbs. James M. Dabbs 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 20
2
Assessing the affective Simon paradigm as a measure of individual differences in implicit social cognition about death
3
3 8
4 3
5 316
6 241
7 25
8 150
9 135
10 46
11 28
12 32
13 88
14 156
15 75
16 51
17 118
18 36
19 1
20 84

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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