Stephen Rubb

789 citations
21 papers · 538 · h-index 10

Impact in

Papers in

Stephen Rubb

19 papers receiving 484 citations

Peers

Stephen Rubb
Comparison fields: 5 of 52
  • Economics and Econometrics 385
  • Demography 140
  • General Health Professions 186
  • Sociology and Political Science 208
  • Gender Studies 40
Replace Ilias Livanos with:
Ilias Livanos United Kingdom
Alfonso Alba‐Ramirez Spain
Florentino Felgueroso Spain
M. Mendes de Oliveira United States
Yūji Genda Japan
Stefan Sacchi Switzerland
Richard B. Freeman United States
Nazareno Panichella Italy
Johannes Koettl United States
Michael Tåhlin Sweden
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Citations per field
00.5×1.7×
Ilias Livanos · 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

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003121
2 200391
3 200575
4 200568
5 200640
6 200337
7 201123
8 201118
9 200514
10 201014
11 20089
12 20119
13 20198
14 20203
15
Social Security's Earnings Test Penalty and the Employment Rates of Elderly Men Aged 65 to 69
20033
16 20031
17 20021
18 20021
19 20251
20
Earnings of Nurses in Non-Nursing Occupations: Evidence of Significant Nursing Dissatisfaction?
20101

About Stephen Rubb

Stephen Rubb is a scholar working on Demography, Economics and Econometrics, General Health Professions, Education and Sociology and Political Science, having authored 21 papers that have together received 538 indexed citations. Recurring topics across this work include Labor market dynamics and wage inequality (15 papers), Retirement, Disability, and Employment (12 papers), Employment and Welfare Studies (7 papers), Education Systems and Policy (6 papers), Migration and Labor Dynamics (4 papers), Urban, Neighborhood, and Segregation Studies (2 papers), Intergenerational and Educational Inequality Studies (2 papers) and Work-Family Balance Challenges (1 paper). The work is most often cited by research in Economics and Econometrics (385 citations), Demography (140 citations), General Health Professions (186 citations), Sociology and Political Science (208 citations) and Gender Studies (40 citations). Stephen Rubb has collaborated with scholars based in United States. Frequent co-authors include Michael A. Quinn and Sarah F. Pearlman. Their work appears in journals such as Education Economics, Economics of Education Review, Demography, Applied Economics Letters and International Advances in Economic Research.

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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