Kevin E. Cahill

1.5k total citations
41 papers, 1.1k citations indexed

About

Kevin E. Cahill is a scholar working on Demography, Economics and Econometrics and General Health Professions. According to data from OpenAlex, Kevin E. Cahill has authored 41 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Demography, 15 papers in Economics and Econometrics and 14 papers in General Health Professions. Recurrent topics in Kevin E. Cahill's work include Retirement, Disability, and Employment (24 papers), Employment and Welfare Studies (12 papers) and Labor market dynamics and wage inequality (10 papers). Kevin E. Cahill is often cited by papers focused on Retirement, Disability, and Employment (24 papers), Employment and Welfare Studies (12 papers) and Labor market dynamics and wage inequality (10 papers). Kevin E. Cahill collaborates with scholars based in United States, United Kingdom and Italy. Kevin E. Cahill's co-authors include Joseph F. Quinn, Michael D. Giandrea, Andrew P. Yu, Jackson Tang, Reema Mody, Eswar Krishnan, Pankaj Patel, Eric Q. Wu, Howard G. Birnbaum and Alicia H. Munnell and has published in prestigious journals such as Physical Review Letters, American Psychologist and Oncogene.

In The Last Decade

Kevin E. Cahill

39 papers receiving 970 citations

Peers

Kevin E. Cahill
Comparison fields: 5 of 115
  • Demography 558
  • General Health Professions 474
  • Economics and Econometrics 265
  • Surgery 157
  • Nephrology 151
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Citations per field, relative to Kevin E. Cahill
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Citations per year, relative to Kevin E. Cahill
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Countries citing papers authored by Kevin E. Cahill

Since Specialization
Citations

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

Fields of papers citing papers by Kevin E. Cahill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin E. Cahill. 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 Kevin E. Cahill. The network helps show where Kevin E. Cahill may publish in the future.

Co-authorship network of co-authors of Kevin E. Cahill

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin E. Cahill. A scholar is included among the top collaborators of Kevin E. Cahill 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 Kevin E. Cahill. Kevin E. Cahill 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 0
2 0
3 22
4
Retirement Patterns and the Macroeconomy, 1992-2010: The Prevalence and Determinants of Bridge Jobs, Phased Retirement, and Re-Entry Among Three Recent Cohorts of Older Americans
3
5 23
6 116
7
Older Workers and Short-Term Jobs: Patterns and Determinants
11
8
Older Workers and Short-Term Jobs: Employment Patterns and Determinants
4
9 7
10
Reentering the Labor Force after Retirement
10
11 60
12 20
13 74
14 91
15
Down shifting: The role of bridge jobs after career employment
17
16
Retirement Patterns from Career Employment
7
17 211
18 3
19 8
20 48

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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