Jesse M. Levy

1.1k citations
13 papers · 908 · 1 hit paper · h-index 9

Impact in

Papers in

Jesse M. Levy

13 papers receiving 881 citations

Jesse M. Levy's Hit Papers

Risk adjustment of Medicare capitation payments using the CMS-HCC model. 2004 · 687 citations
6870+7+14Years since publication200400600

Peers

Jesse M. Levy
Comparison fields: 5 of 71
  • Family Practice 52
  • General Health Professions 238
  • Economics and Econometrics 251
  • Geriatrics and Gerontology 27
  • Health Information Management 15
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Citations per field
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Citations per year

Countries citing papers authored by Jesse M. Levy

Since Specialization
Citations

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

Fields of papers citing papers by Jesse M. Levy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jesse M. Levy. 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 Jesse M. Levy. The network helps show where Jesse M. Levy may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1
Risk adjustment of Medicare capitation payments using the CMS-HCC model.
Hit paper breakdown →
2004687
2 201166
3
Diagnosis-based risk adjustment for medicare prescription drug plan payments.
200747
4 199025
5 199219
6 201418
7 200914
8
Clinician feedback on using episode groupers with Medicare claims data.
201010
9 19928
10
Risk-adjustment system for the Medicare capitated ESRD program.
20065
11 20174
12 19873
13 20112

About Jesse M. Levy

Jesse M. Levy is a scholar working on Economics and Econometrics, General Health Professions, Nephrology, Family Practice and Pulmonary and Respiratory Medicine, having authored 13 papers that have together received 908 indexed citations. Recurring topics across this work include Healthcare Policy and Management (10 papers), Primary Care and Health Outcomes (6 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Patient Satisfaction in Healthcare (2 papers), Global Health Care Issues (2 papers), Pharmaceutical Practices and Patient Outcomes (1 paper), Antibiotic Use and Resistance (1 paper) and Opioid Use Disorder Treatment (1 paper). The work is most often cited by research in Family Practice (52 citations), General Health Professions (238 citations), Economics and Econometrics (251 citations), Geriatrics and Gerontology (27 citations) and Health Information Management (15 citations). Jesse M. Levy has collaborated with scholars based in United States. Frequent co-authors include Melvin J. Ingber, John Robst, Arlene S. Ash, Randall P. Ellis, Gregory C. Pope, John Kautter, John Z. Ayanian, Stuart R. Lipsitz, Jim C. Hu and Xiangmei Gu. Their work appears in journals such as European Urology, Health Policy, Medical Care, Health Affairs and JAMA.

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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