Stephen Rubb

777 citations
20 papers · 569 · h-index 11

Impact in

    • Labor market dynamics and wage inequality
    • Firm Innovation and Growth
    • Fiscal Policy and Economic Growth
  • Demography top 5%
    • Retirement, Disability, and Employment

Papers in

Stephen Rubb

19 papers receiving 512 citations

Peers

Stephen Rubb
Comparison fields: 5 of 51
  • Economics and Econometrics 421
  • Demography 140
  • General Health Professions 191
  • Sociology and Political Science 216
  • Gender Studies 42
Replace M. Mendes de Oliveira with:
M. Mendes de Oliveira Portugal
Florentino Felgueroso Spain
Gabriele Ballarino Italy
Yūji Genda Japan
Richard Freeman United States
David Ratner United States
Michael Tåhlin Sweden
Brahim Boudarbat Canada
Nazareno Panichella Italy
Ayako Kondo Japan
Stephen Rubb relative to M. Mendes de Oliveira Portugal M. Mendes de Oliveira's profile →
Citations per field
00.5×4.3×
M. Mendes de Oliveira · 1×
Citations per year

Countries citing papers authored by Stephen Rubb

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Rubb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 2 scholars most cited alongside Stephen Rubb, 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 Stephen Rubb Line = papers co-authored together Stephen Rubb links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2003125
2 2003101
3 200578
4 200571
5 200640
6 200339
7 201125
8 201119
9 200517
10 201015
11 201110
12 20089
13 20198
14
Social Security's Earnings Test Penalty and the Employment Rates of Elderly Men Aged 65 to 69
20034
15 20203
16 20022
17 20031
18
Earnings of Nurses in Non-Nursing Occupations: Evidence of Significant Nursing Dissatisfaction?
20101
19 20021
20 20250

About Stephen Rubb

Stephen Rubb is a scholar working on Economics and Econometrics, Demography, General Health Professions, Sociology and Political Science and Education, having authored 20 papers that have together received 569 indexed citations. Recurring topics across this work include Labor market dynamics and wage inequality (14 papers), Retirement, Disability, and Employment (11 papers), Employment and Welfare Studies (7 papers), Education Systems and Policy (6 papers), Migration and Labor Dynamics (3 papers), Intergenerational and Educational Inequality Studies (2 papers), Urban, Neighborhood, and Segregation Studies (2 papers) and Nursing education and management (1 paper). The work is most often cited by research in Economics and Econometrics (421 citations), Demography (140 citations), General Health Professions (191 citations), Sociology and Political Science (216 citations) and Gender Studies (42 citations). Stephen Rubb has collaborated with scholars based in United States. Frequent co-authors include Michael A. Quinn and Sarah Pearlman. Their work appears in journals such as Education Economics, Economics of Education Review, Demography, Applied Economics Letters and Eastern Economic Journal.

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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