Dhaval Dave
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Health top 2%
- Health disparities and outcomes
Papers in
-
- Homelessness and Social Issues 14
- Global Health Care Issues 12
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- Healthcare Policy and Management 12
- Co-authors
- Henry Saffer (17 shared papers)Joseph J. Sabia (27 shared papers)Inas Rashad (2 shared papers)Andrew Friedson (12 shared papers)Jasmina Spasojević (2 shared papers)Kyutaro Matsuzawa (9 shared papers)Gregory Colman (7 shared papers)Nancy E. Reichman (23 shared papers)
- Journals
- Journal of Health Economics (8 papers)Health Economics (6 papers)Economic Inquiry (6 papers)Social Science & Medicine (5 papers)Journal of Population Economics (4 papers)
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Dhaval Dave
109 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 136
- Modeling and Simulation 273
- Health 305
- General Health Professions 715
- Demography 322
- Economics and Econometrics 596
Countries citing papers authored by Dhaval Dave
This map shows the geographic impact of Dhaval Dave'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 Dhaval Dave with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dhaval Dave more than expected).
Fields of papers citing papers by Dhaval Dave
This network shows the impact of papers produced by Dhaval Dave. 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 Dhaval Dave. The network helps show where Dhaval Dave may publish in the future.
Co-authors
The 25 scholars most cited alongside Dhaval Dave, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 233 | |
| 2 | 2020 | 190 | |
| 3 | 2013 | 110 | |
| 4 | 2018 | 102 | |
| 5 | 2013 | 95 | |
| 6 | 2019 | 71 | |
| 7 | 2020 | 64 | |
| 8 | 2002 | 63 | |
| 9 | 2020 | 60 | |
| 10 | 2007 | 59 | |
| 11 | 2020 | 56 | |
| 12 | 2016 | 56 | |
| 13 | 2019 | 55 | |
| 14 | 2022 | 55 | |
| 15 | 2012 | 54 | |
| 16 | 2005 | 51 | |
| 17 | 2020 | 51 | |
| 18 | 2019 | 50 | |
| 19 | 2018 | 47 | |
| 20 | 2013 | 45 |
About Dhaval Dave
Dhaval Dave is a scholar working on General Health Professions, Economics and Econometrics, Sociology and Political Science, Gender Studies and Epidemiology, having authored 117 papers that have together received 2.6k indexed citations. Recurring topics across this work include Gender, Labor, and Family Dynamics (20 papers), Substance Abuse Treatment and Outcomes (16 papers), Smoking Behavior and Cessation (15 papers), Health disparities and outcomes (15 papers), Homelessness and Social Issues (14 papers), Healthcare Policy and Management (12 papers), Global Health Care Issues (12 papers) and COVID-19 epidemiological studies (9 papers). The work is most often cited by research in Modeling and Simulation (273 citations), Health (305 citations), General Health Professions (715 citations), Demography (322 citations) and Economics and Econometrics (596 citations). Dhaval Dave has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Henry Saffer, Joseph J. Sabia, Inas Rashad, Andrew Friedson, Jasmina Spasojević, Kyutaro Matsuzawa, Gregory Colman, Nancy E. Reichman, Hope Corman and Michael Grossman. Their work appears in journals such as Journal of Health Economics, Health Economics, Economic Inquiry, Social Science & Medicine and Journal of Population Economics.
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.