Jay Stewart

47 papers receiving 626 citations

Peers

Jay Stewart
Comparison fields: 5 of 91
  • Gender Studies 198
  • Demography 121
  • Economics and Econometrics 240
  • General Health Professions 169
  • Public Administration 26
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Elena Stancanelli France
Andreas Mueller United States
Víctor Manuel Montuenga Gómez Spain
Geoffrey Carliner United States
Peter Jensen Denmark
Jacques J. Siegers Netherlands
Gregori Baetschmann Switzerland
Thomas P. Vartanian United States
Alberto Dávila United States
Michał Myck Germany
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Citations per year

Countries citing papers authored by Jay Stewart

Since Specialization
Citations

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

Fields of papers citing papers by Jay Stewart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jay Stewart, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jay Stewart Line = papers co-authored together Jay Stewart links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005142
2
Tobit or Not Tobit
201264
3
Recent Trends in Job Stability and Job Security: Evidence from the March CPS
200244
4 201540
5
Earnings and Benefits of Contingent and Noncontingent Workers
199638
6
How Do Older Americans Spend Their Time? Older Americans' Time Use Changes Dramatically with Age, but It Is the Lower Employment Rates at Older Ages-Rather Than Age Itself-That Matter Most
200736
7 200934
8 199430
9 202124
10 200920
11
What can we learn from time-use data?
199918
12 199918
13 201314
14 200613
15 202012
16 199912
17 200710
18 20139
19 20148
20 20108

About Jay Stewart

Jay Stewart is a scholar working on Economics and Econometrics, Gender Studies, Sociology and Political Science, General Health Professions and Demography, having authored 50 papers that have together received 680 indexed citations. Recurring topics across this work include Gender, Labor, and Family Dynamics (13 papers), Labor market dynamics and wage inequality (11 papers), Retirement, Disability, and Employment (7 papers), Work-Family Balance Challenges (7 papers), Employment and Welfare Studies (7 papers), Financial Literacy, Pension, Retirement Analysis (6 papers), Obesity, Physical Activity, Diet (4 papers) and Economic Theory and Policy (4 papers). The work is most often cited by research in Gender Studies (198 citations), Demography (121 citations), Economics and Econometrics (240 citations), General Health Professions (169 citations) and Public Administration (26 citations). Jay Stewart has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Harley Frazis, Daniel S. Hamermesh, Joshua C. Pinkston, Charles Courtemanche, Steven Hipple, Mary Joyce, Katharine G. Abraham, James R. Spletzer, Michael C. Burda and Sara Ryan. Their work appears in journals such as Monthly labor review, Journal of Economic and Social Measurement, American Economic Review, Economics & Human Biology and Psychology of Sexual Orientation and Gender Diversity.

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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