Matthew Dey
Impact in
- Economics and Econometrics top 5%
- Labor market dynamics and wage inequality
- COVID-19 Pandemic Impacts
- Healthcare Policy and Management
- Firm Innovation and Growth
- Gender Studies top 10%
- Gender, Labor, and Family Dynamics
Papers in
-
- Employment and Welfare Studies 7
-
- Labor market dynamics and wage inequality 4
- COVID-19 Pandemic Impacts 2
- Regional Economics and Spatial Analysis 1
- Co-authors
- Christopher J. Flinn (1 shared paper)Mark A. Loewenstein (6 shared papers)Harley Frazis (3 shared papers)Susan N. Houseman (3 shared papers)Anne E. Polivka (3 shared papers)John Voorheis (1 shared paper)Ken-Hou Lin (1 shared paper)
- Journals
- Monthly labor review (6 papers)Industrial Relations A Journal of Economy and Society (1 paper)Industrial and Labor Relations Review (1 paper)American Journal of Sociology (1 paper)Econometrica (1 paper)
- Partner nations
- United StatesGermanyBulgaria
In The Last Decade
Matthew Dey
11 papers receiving 368 citations
Peers
Comparison fields: 5 of 63
- Economics and Econometrics 275
- Gender Studies 74
- General Health Professions 116
- Modeling and Simulation 21
- Demography 42
Countries citing papers authored by Matthew Dey
This map shows the geographic impact of Matthew Dey'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 Matthew Dey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Dey more than expected).
Fields of papers citing papers by Matthew Dey
This network shows the impact of papers produced by Matthew Dey. 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 Matthew Dey. The network helps show where Matthew Dey may publish in the future.
Co-authors
The 7 scholars most cited alongside Matthew Dey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 163 | |
| 2 | 2020 | 92 | |
| 3 | 2020 | 39 | |
| 4 | 1997 | 36 | |
| 5 | 2012 | 26 | |
| 6 | 2021 | 17 | |
| 7 | 2006 | 11 | |
| 8 | 2021 | 7 | |
| 9 | 2022 | 4 | |
| 10 | 2023 | 4 | |
| 11 | 2007 | 2 | |
| 12 | 2017 | 1 | |
| 13 | 2021 | 0 | |
| 14 | 2025 | 0 |
About Matthew Dey
Matthew Dey is a scholar working on General Health Professions, Economics and Econometrics, Sociology and Political Science, Public Administration and Political Science and International Relations, having authored 14 papers that have together received 402 indexed citations. Recurring topics across this work include Employment and Welfare Studies (7 papers), Labor market dynamics and wage inequality (4 papers), Labor Movements and Unions (3 papers), COVID-19 Pandemic Impacts (2 papers), Youth Education and Societal Dynamics (1 paper), Regional Economics and Spatial Analysis (1 paper), Retirement, Disability, and Employment (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Economics and Econometrics (275 citations), Gender Studies (74 citations), General Health Professions (116 citations), Modeling and Simulation (21 citations) and Demography (42 citations). Matthew Dey has collaborated with scholars based in United States, Germany and Bulgaria. Frequent co-authors include Christopher J. Flinn, Mark A. Loewenstein, Harley Frazis, Susan N. Houseman, Anne E. Polivka, John Voorheis and Ken-Hou Lin. Their work appears in journals such as Monthly labor review, Industrial Relations A Journal of Economy and Society, Industrial and Labor Relations Review, American Journal of Sociology and Econometrica.
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.