Wayne K. Kirchner

2.4k total citations · 1 hit paper
31 papers, 1.7k citations indexed

About

Wayne K. Kirchner is a scholar working on Sociology and Political Science, General Psychology and Demography. According to data from OpenAlex, Wayne K. Kirchner has authored 31 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Sociology and Political Science, 2 papers in General Psychology and 2 papers in Demography. Recurrent topics in Wayne K. Kirchner's work include Retirement, Disability, and Employment (2 papers), Academic and Historical Perspectives in Psychology (2 papers) and Big Data and Business Intelligence (1 paper). Wayne K. Kirchner is often cited by papers focused on Retirement, Disability, and Employment (2 papers), Academic and Historical Perspectives in Psychology (2 papers) and Big Data and Business Intelligence (1 paper). Wayne K. Kirchner collaborates with scholars based in United States. Wayne K. Kirchner's co-authors include Marvin D. Dunnette, Angelo S. DeNisi, Rodger W. Griffeth, Peter W. Hom, Raymond A. Katzell and Donald G. Paterson and has published in prestigious journals such as Journal of Applied Psychology, American Psychologist and Personnel Psychology.

In The Last Decade

Wayne K. Kirchner

30 papers receiving 1.5k citations

Hit Papers

Age differences in short-term retention of rapidly changi... 1958 2026 1980 2003 1958 400 800 1.2k

Peers

Wayne K. Kirchner
Comparison fields: 5 of 142
  • Cognitive Neuroscience 644
  • Experimental and Cognitive Psychology 376
  • Social Psychology 293
  • Clinical Psychology 192
  • Developmental and Educational Psychology 146
Replace Mortimer H. Appley with:
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Mortimer H. Appley United States View profile →
Citations per field, relative to Wayne K. Kirchner
Wayne K. Kirchner · 1×
Citations per year, relative to Wayne K. Kirchner
Wayne K. Kirchner · 1×

Countries citing papers authored by Wayne K. Kirchner

Since Specialization
Citations

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

Fields of papers citing papers by Wayne K. Kirchner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wayne K. Kirchner

This figure shows the co-authorship network connecting the top 25 collaborators of Wayne K. Kirchner. A scholar is included among the top collaborators of Wayne K. 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 Wayne K. Kirchner. Wayne K. Kirchner 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 27
2
The Hard Core in Training - Who Makes It?.
4
3 1
4 1
5
Some Research on Motivating the Hard-Core.
3
6 1
7 23
8 6
9 1
10 17
11 6
12 8
13 18
14 20
15 7
16 2
17
Age differences in short-term retention of rapidly changing information. breakdown →
1202
18 16
19
Understanding the union member
22
20 45

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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2026