Jeffrey L. Kirchner

1.4k total citations · 1 hit paper
6 papers, 696 citations indexed

About

Jeffrey L. Kirchner is a scholar working on Social Psychology, Sociology and Political Science and Cognitive Neuroscience. According to data from OpenAlex, Jeffrey L. Kirchner has authored 6 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Social Psychology, 4 papers in Sociology and Political Science and 2 papers in Cognitive Neuroscience. Recurrent topics in Jeffrey L. Kirchner's work include Social and Intergroup Psychology (3 papers), Cultural Differences and Values (2 papers) and Experimental Behavioral Economics Studies (2 papers). Jeffrey L. Kirchner is often cited by papers focused on Social and Intergroup Psychology (3 papers), Cultural Differences and Values (2 papers) and Experimental Behavioral Economics Studies (2 papers). Jeffrey L. Kirchner collaborates with scholars based in United States, United Kingdom and Netherlands. Jeffrey L. Kirchner's co-authors include R. Matthew Montoya, Robert S. Horton, Chester A. Insko, Tim Wildschut, Brad Pinter, Scott T. Wolf, Madoka Kumashiro, Shevaun L. Stocker, Caryl E. Rusbult and Eli J. Finkel and has published in prestigious journals such as Journal of Personality and Social Psychology, European Journal of Social Psychology and Journal of Social and Personal Relationships.

In The Last Decade

Jeffrey L. Kirchner

6 papers receiving 660 citations

Hit Papers

Is actual similarity necessary for attraction? A meta-ana... 2008 2026 2014 2020 2008 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jeffrey L. Kirchner United States 5 380 338 185 122 79 6 696
Róża Bazińska Poland 6 394 1.0× 333 1.0× 121 0.7× 86 0.7× 201 2.5× 8 681
Michael J. Gill United States 13 403 1.1× 352 1.0× 127 0.7× 91 0.7× 220 2.8× 27 896
Christopher Leone United States 14 308 0.8× 298 0.9× 115 0.6× 107 0.9× 73 0.9× 37 637
John J. Hetts United States 8 366 1.0× 296 0.9× 95 0.5× 124 1.0× 62 0.8× 10 595
Monique Pollmann Netherlands 13 346 0.9× 272 0.8× 137 0.7× 130 1.1× 191 2.4× 29 773
Kathy Kellermann United States 16 384 1.0× 428 1.3× 126 0.7× 76 0.6× 52 0.7× 29 908
Jennifer L. Butler United States 6 277 0.7× 488 1.4× 429 2.3× 124 1.0× 80 1.0× 7 1.0k
Kaiping Peng China 7 354 0.9× 484 1.4× 127 0.7× 140 1.1× 60 0.8× 16 768
Ivy Yee‐Man Lau Hong Kong 16 478 1.3× 655 1.9× 129 0.7× 55 0.5× 127 1.6× 30 928
Steven W. Duck United Kingdom 15 337 0.9× 594 1.8× 161 0.9× 232 1.9× 38 0.5× 75 964

Countries citing papers authored by Jeffrey L. Kirchner

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey L. Kirchner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey L. Kirchner. 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 Jeffrey L. Kirchner. The network helps show where Jeffrey L. Kirchner may publish in the future.

Co-authorship network of co-authors of Jeffrey L. Kirchner

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

All Works

6 of 6 papers shown
1.
Wolf, Scott T., et al.. (2009). Reducing intergroup conflict through the consideration of future consequences. European Journal of Social Psychology. 39(5). 831–841. 1 indexed citations
2.
Wolf, Scott T., Chester A. Insko, Jeffrey L. Kirchner, & Tim Wildschut. (2008). Interindividual-intergroup discontinuity in the domain of correspondent outcomes: The roles of relativistic concern, perceived categorization, and the doctrine of mutual assured destruction.. Journal of Personality and Social Psychology. 94(3). 479–494. 14 indexed citations
3.
Montoya, R. Matthew, Robert S. Horton, & Jeffrey L. Kirchner. (2008). Is actual similarity necessary for attraction? A meta-analysis of actual and perceived similarity. Journal of Social and Personal Relationships. 25(6). 889–922. 545 indexed citations breakdown →
4.
Pinter, Brad, Chester A. Insko, Tim Wildschut, et al.. (2007). Reduction of interindividual-intergroup discontinuity: The role of leader accountability and proneness to guilt.. Journal of Personality and Social Psychology. 93(2). 250–265. 53 indexed citations
5.
Insko, Chester A., et al.. (2005). Interindividual-Intergroup Discontinuity as a Function of Trust and Categorization: The Paradox of Expected Cooperation.. Journal of Personality and Social Psychology. 88(2). 365–385. 70 indexed citations
6.
Rusbult, Caryl E., Madoka Kumashiro, Shevaun L. Stocker, et al.. (2005). Self processes in interdependent relationships. Interaction Studies Social Behaviour and Communication in Biological and Artificial Systems. 6(3). 375–391. 13 indexed citations

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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