Ashvin Gandhi

1.2k total citations · 2 hit papers
26 papers, 720 citations indexed

About

Ashvin Gandhi is a scholar working on General Health Professions, Economics and Econometrics and Geriatrics and Gerontology. According to data from OpenAlex, Ashvin Gandhi has authored 26 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in General Health Professions, 10 papers in Economics and Econometrics and 7 papers in Geriatrics and Gerontology. Recurrent topics in Ashvin Gandhi's work include Geriatric Care and Nursing Homes (14 papers), Frailty in Older Adults (7 papers) and Healthcare Policy and Management (7 papers). Ashvin Gandhi is often cited by papers focused on Geriatric Care and Nursing Homes (14 papers), Frailty in Older Adults (7 papers) and Healthcare Policy and Management (7 papers). Ashvin Gandhi collaborates with scholars based in United States, France and Nepal. Ashvin Gandhi's co-authors include David C. Grabowski, Lacey Loomer, Hannah R. Abrams, Huizi Yu, Brian E. McGarry, Michael L. Barnett, Jonathan Gruber, Sarah D. Berry, Maggie L. Syme and Elizabeth M. White and has published in prestigious journals such as New England Journal of Medicine, Management Science and Journal of the American Geriatrics Society.

In The Last Decade

Ashvin Gandhi

22 papers receiving 695 citations

Hit Papers

Characteristics of U.S. N... 2020 2026 2022 2024 2020 2021 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ashvin Gandhi United States 14 541 182 144 94 92 26 720
Brian E. McGarry United States 18 534 1.0× 153 0.8× 129 0.9× 77 0.8× 144 1.6× 50 761
Timothy W. Farrell United States 13 310 0.6× 57 0.3× 62 0.4× 94 1.0× 61 0.7× 50 601
Shekinah Fashaw‐Walters United States 11 266 0.5× 142 0.8× 30 0.2× 42 0.4× 64 0.7× 24 427
Sonila M. Tomini United Kingdom 13 287 0.5× 72 0.4× 18 0.1× 60 0.6× 118 1.3× 42 590
Jorge Garcés Ferrer Spain 10 266 0.5× 91 0.5× 97 0.7× 300 3.2× 88 1.0× 59 648
Samia Alhabib Saudi Arabia 8 212 0.4× 256 1.4× 19 0.1× 153 1.6× 69 0.8× 10 638
Juliane Winkelmann Germany 11 211 0.4× 64 0.4× 10 0.1× 41 0.4× 116 1.3× 31 509
Debbie Salas‐Lopez United States 12 310 0.6× 85 0.5× 20 0.1× 83 0.9× 72 0.8× 24 676
Gonçalo Figueiredo Augusto Portugal 11 216 0.4× 78 0.4× 21 0.1× 32 0.3× 119 1.3× 26 451
Seung Chun Paek Thailand 12 176 0.3× 93 0.5× 26 0.2× 33 0.4× 44 0.5× 39 410

Countries citing papers authored by Ashvin Gandhi

Since Specialization
Citations

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

Fields of papers citing papers by Ashvin Gandhi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashvin Gandhi

This figure shows the co-authorship network connecting the top 25 collaborators of Ashvin Gandhi. A scholar is included among the top collaborators of Ashvin Gandhi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ashvin Gandhi. Ashvin Gandhi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bravo, Fernanda, et al.. (2025). Closer to Home: A Structural Estimate-Then-Optimize Approach to Improve Access to Healthcare Services. Management Science. 72(3). 2345–2363.
2.
McGarry, Brian E., Andrew D. Wilcock, Ashvin Gandhi, David C. Grabowski, & Michael L. Barnett. (2025). Extended Hospital Stays in Medicare Advantage and Traditional Medicare. JAMA Internal Medicine. 185(11). 1362–1362.
3.
Gandhi, Ashvin & Andrew Olenski. (2024). Tunneling and Hidden Profits in Health Care. SSRN Electronic Journal.
4.
Yu, Huizi, Lizhou Fan, Lingyao Li, et al.. (2024). Large Language Models in Biomedical and Health Informatics: A Review with Bibliometric Analysis. PubMed. 8(4). 658–711. 15 indexed citations
5.
Gandhi, Ashvin, et al.. (2024). Alleviating Worker Shortages Through Targeted Subsidies: Evidence from Incentive Payments in Healthcare. The Review of Economics and Statistics. 1–31.
6.
Yu, Huizi, Lizhou Fan, Lingyao Li, et al.. (2024). Large Language Models in Biomedical and Health Informatics: A Review with Bibliometric Analysis. arXiv (Cornell University). 1 indexed citations
7.
Williams, Jessica A., Jamie E. Collins, Ashvin Gandhi, et al.. (2023). Can Better Leadership Reduce Nursing Home Staff Turnover?. Journal of the American Medical Directors Association. 25(3). 403–407.e1. 4 indexed citations
8.
McGarry, Brian E., Ashvin Gandhi, & Michael L. Barnett. (2023). Covid-19 Surveillance Testing and Resident Outcomes in Nursing Homes. New England Journal of Medicine. 388(12). 1101–1110. 22 indexed citations
9.
McGarry, Brian E., et al.. (2023). Health Care Staff Turnover and Quality of Care at Nursing Homes. JAMA Internal Medicine. 183(11). 1247–1247. 20 indexed citations
10.
Berry, Sarah D., Keith Goldfeld, Kevin W. McConeghy, et al.. (2022). Evaluating the Findings of the IMPACT-C Randomized Clinical Trial to Improve COVID-19 Vaccine Coverage in Skilled Nursing Facilities. JAMA Internal Medicine. 182(3). 324–324. 17 indexed citations
11.
Dubois, Pierre, et al.. (2022). Bargaining and International Reference Pricing in the Pharmaceutical Industry. SSRN Electronic Journal. 1 indexed citations
12.
McGarry, Brian E., et al.. (2022). Staffing Patterns in US Nursing Homes During COVID-19 Outbreaks. JAMA Health Forum. 3(7). e222151–e222151. 41 indexed citations
13.
McGarry, Brian E., Ashvin Gandhi, Maggie L. Syme, et al.. (2022). Association of State COVID-19 Vaccine Mandates With Staff Vaccination Coverage and Staffing Shortages in US Nursing Homes. JAMA Health Forum. 3(7). e222363–e222363. 23 indexed citations
14.
Loomer, Lacey, David C. Grabowski, Huizi Yu, & Ashvin Gandhi. (2021). Association between nursing home staff turnover and infection control citations. Health Services Research. 57(2). 322–332. 36 indexed citations
15.
Loomer, Lacey, et al.. (2021). Estimates of COVID-19 Cases and Deaths Among Nursing Home Residents Not Reported in Federal Data. JAMA Network Open. 4(9). e2122885–e2122885. 31 indexed citations
16.
Gandhi, Ashvin, Huizi Yu, & David C. Grabowski. (2021). High Nursing Staff Turnover In Nursing Homes Offers Important Quality Information. Health Affairs. 40(3). 384–391. 146 indexed citations breakdown →
17.
McGarry, Brian E., Ashvin Gandhi, David C. Grabowski, & Michael L. Barnett. (2021). Larger Nursing Home Staff Size Linked To Higher Number Of COVID-19 Cases In 2020. Health Affairs. 40(8). 1261–1269. 35 indexed citations
18.
McGarry, Brian E., et al.. (2021). Association of Nursing Home Characteristics With Staff and Resident COVID-19 Vaccination Coverage. JAMA Internal Medicine. 181(12). 1670–1670. 17 indexed citations
19.
Gandhi, Ashvin. (2020). Picking Your Patients: Selective Admissions in the Nursing Home Industry. SSRN Electronic Journal. 17 indexed citations
20.
Gandhi, Ashvin, et al.. (2014). Reexamining Income Tax Overwithholding as a Response to Uncertainty. Public Finance Review. 44(2). 220–244. 3 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026