Jay Stewart

1.2k citations
48 papers · 653 indexed · h-index 13

Impact in

Papers in

Jay Stewart

44 papers receiving 595 citations

Peers

Jay Stewart
Comparison fields: 5 of 93
  • Gender Studies 198
  • Demography 128
  • Economics and Econometrics 242
  • Public Administration 26
  • Transportation 49
Replace Elena Stancanelli with:
Elena Stancanelli France
Tim Barmby United Kingdom
Geoffrey Carliner United States
Víctor Manuel Montuenga Gómez Spain
Jacques J. Siegers Netherlands
José‐Ignacio Antón Spain
Gregori Baetschmann Switzerland
Gerald S. Oettinger United States
Robert B. Nielsen United States
Yunju Nam United States
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Citations per field
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Elena Stancanelli · 1×
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-authorship network

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
#Work
1 20250
2 20252
3 202010
4 20182
5
Reconciling the Divergence in Aggregate U.S. Wage Series
20161
6 201540
7
THE QUALITY OF DIARIES: How to Think about Time-Use Data: What Inferences Can We Make about Long-and Short-Run Time Use from Time Diaries?
20127
8
Tobit or Not Tobit
201265
9
What Do Male Nonworkers Do
20121
10 20108
11 20094
12
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
13 20066
14 20066
15 2005142
16
Recent Trends in Job Stability and Job Security: Evidence from the March CPS
200244
17
What can we learn from time-use data?
199918
18 199919
19
Earnings and Benefits of Contingent and Noncontingent Workers
199638
20 199429

About Jay Stewart

Jay Stewart is a scholar working on Gender Studies, Economics and Econometrics, Demography, General Economics, Econometrics and Finance and Accounting, having authored 48 papers that have together received 653 indexed citations. Recurring topics across this work include Gender, Labor, and Family Dynamics (13 papers), Labor market dynamics and wage inequality (11 papers), Employment and Welfare Studies (7 papers), Work-Family Balance Challenges (7 papers), Retirement, Disability, and Employment (7 papers), Financial Literacy, Pension, Retirement Analysis (6 papers), Obesity, Physical Activity, Diet (4 papers) and Urban, Neighborhood, and Segregation Studies (4 papers). The work is most often cited by research in Gender Studies (198 citations), Demography (128 citations), Economics and Econometrics (242 citations), Public Administration (26 citations) and Transportation (49 citations). Jay Stewart has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Harley Frazis, Daniel S. Hamermesh, Charles Courtemanche, Joshua C. Pinkston, Steven Hipple, Mary Joyce, James R. Spletzer, Katharine G. Abraham, Michael C. Burda and André Kurmann. Their work appears in journals such as Monthly labor review, Journal of Economic and Social Measurement, American Economic Review, Economics & Human Biology and The Journal of Human Resources.

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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