Partha Deb

6.2k citations
89 papers · 4.4k indexed · 2 hit papers · h-index 32

Partha Deb

88 papers receiving 4.1k citations

Hit Papers

Modeling Health Care Expenditures and Use2772015202620182022100200300400

Peers

Partha Deb
Comparison fields: 5 of 170
  • General Health Professions 1.6k
  • Economics and Econometrics 1.7k
  • Finance 407
  • Geriatrics and Gerontology 141
  • Health 295
Replace Anirban Basu with:
Anirban Basu United States
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Citations per field
00.5×1.6×
Anirban Basu · 1×
Citations per year

Countries citing papers authored by Partha Deb

Since Specialization
Citations

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

Fields of papers citing papers by Partha Deb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Partha Deb, 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 Partha Deb Line = papers co-authored together Partha Deb links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20226
3 20213
4 202016
5 20197
6 201546
7 201330
8 201212
9 201136
10
Internal Migration, Selection Bias and Human Development: Evidence from Indonesia and Mexico
200923
11 200740
12 20064
13 200592
14 2002236
15 200129
16 200067
17
Provider choice and use of mental health care: implications for gatekeeper models.
199814
18 19984
19 199810
20
Co-movements in International Equity Markets
19976

About Partha Deb

Partha Deb is a scholar working on General Health Professions, Economics and Econometrics, Gender Studies, Finance and General Economics, Econometrics and Finance, having authored 89 papers that have together received 4.4k indexed citations. Recurring topics across this work include Healthcare Policy and Management (34 papers), Global Health Care Issues (27 papers), Gender, Labor, and Family Dynamics (14 papers), Health Systems, Economic Evaluations, Quality of Life (13 papers), Market Dynamics and Volatility (8 papers), Financial Risk and Volatility Modeling (7 papers), Palliative Care and End-of-Life Issues (6 papers) and Monetary Policy and Economic Impact (6 papers). The work is most often cited by research in General Health Professions (1.6k citations), Economics and Econometrics (1.7k citations), Finance (407 citations), Geriatrics and Gerontology (141 citations) and Health (295 citations). Partha Deb has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Pravin K. Trivedi, Edward C. Norton, Willard G. Manning, Federico Belotti, R. Sean Morrison, Joan D. Penrod, Ann Holmes, Carolyn W. Zhu, Karen Smith Conway and Jason M. Fletcher. Their work appears in journals such as Health Economics, Journal of Health Economics, Journal of Applied Econometrics, Economics Letters and Health Services 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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