Jay S. Coke

1.3k total citations · 1 hit paper
10 papers, 790 citations indexed

About

Jay S. Coke is a scholar working on Social Psychology, Sociology and Political Science and Health. According to data from OpenAlex, Jay S. Coke has authored 10 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Social Psychology, 3 papers in Sociology and Political Science and 2 papers in Health. Recurrent topics in Jay S. Coke's work include Psychology of Social Influence (3 papers), Religion, Spirituality, and Psychology (2 papers) and Death Anxiety and Social Exclusion (2 papers). Jay S. Coke is often cited by papers focused on Psychology of Social Influence (3 papers), Religion, Spirituality, and Psychology (2 papers) and Death Anxiety and Social Exclusion (2 papers). Jay S. Coke collaborates with scholars based in United States. Jay S. Coke's co-authors include C. Daniel Batson, George C. Thomas, Michael Hanchett Hanson, MARY L. JASNOSKI, Sharon S. Brehm and Linda G. Pierce and has published in prestigious journals such as Journal of Personality and Social Psychology, Personality and Social Psychology Bulletin and Sex Roles.

In The Last Decade

Jay S. Coke

9 papers receiving 674 citations

Hit Papers

Empathic mediation of helping: A two-stage model. 1978 2026 1994 2010 1978 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Empathic mediation of helping: A two-stage model.
    1978 546 citations Jay S. Coke, C. Daniel Batson et al. Journal of Personality and Social Psychology profile →

Peers

Jay S. Coke
Steve A. Nida United States
William J. Froming United States
Lynda Henley
Carolyn H. Simmons United States
José Luis González Castro Spain
Eric Stocks United States
Regina L. Logan United States
Benoît Dardenne Belgium
Thomas A. Pyszczynski United States
J. P. Gerber Australia
Steve A. Nida United States
Jay S. Coke
Citations per year, relative to Jay S. Coke Jay S. Coke (= 1×) peers Steve A. Nida

Countries citing papers authored by Jay S. Coke

Since Specialization
Citations

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

Fields of papers citing papers by Jay S. Coke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jay S. Coke

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

All Works

10 of 10 papers shown
1.
Pierce, Linda G., et al.. (1992). Predicting Target Detection Performance Using the Armed Services Vocational Aptitude Battery Subtests and Cognitive Factor Tests. Defense Technical Information Center (DTIC). 2 indexed citations
2.
Brehm, Sharon S., et al.. (1984). The effects of empathic instructions upon donating behavior: Sex differences in young children. Sex Roles. 10(5-6). 405–416. 17 indexed citations
3.
Batson, C. Daniel, et al.. (1983). Limits on the two-stage model of empathic mediation of helping: A reply to Archer, Diaz-Loving, Gollwitzer, Davis, and Foushee.. Journal of Personality and Social Psychology. 45(4). 895–898. 12 indexed citations
4.
Coke, Jay S., et al.. (1981). A Description of the ARI Crew Performance Model.
5.
Thomas, George C., C. Daniel Batson, & Jay S. Coke. (1981). Do good samaritans discourage helpfulness? Self-perceived altruism after exposure to highly helpful others.. Journal of Personality and Social Psychology. 40(1). 194–200. 47 indexed citations
6.
Thomas, George C., C. Daniel Batson, & Jay S. Coke. (1981). Do good samaritans discourage helpfulness? Self-perceived altruism after exposure to highly helpful others.. Journal of Personality and Social Psychology. 40(1). 194–200. 15 indexed citations
7.
Batson, C. Daniel, et al.. (1979). Generality of the "Glow of Goodwill": Effects of Mood on Helping and Information Acquisition. Social Psychology Quarterly. 42(2). 176–176. 53 indexed citations
8.
Batson, C. Daniel, Jay S. Coke, MARY L. JASNOSKI, & Michael Hanchett Hanson. (1978). Buying Kindness: Effect of an Extrinsic Incentive for Helping on Perceived Altruism. Personality and Social Psychology Bulletin. 4(1). 86–91. 58 indexed citations
9.
Coke, Jay S., et al.. (1978). Empathic mediation of helping: A two-stage model.. Journal of Personality and Social Psychology. 36(7). 752–766. 40 indexed citations
10.
Coke, Jay S., et al.. (1978). Empathic mediation of helping: A two-stage model.. Journal of Personality and Social Psychology. 36(7). 752–766. 546 indexed citations breakdown →

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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