Melvin J. Ingber

3.0k total citations · 1 hit paper
44 papers, 2.4k citations indexed

About

Melvin J. Ingber is a scholar working on General Health Professions, Economics and Econometrics and Emergency Medicine. According to data from OpenAlex, Melvin J. Ingber has authored 44 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in General Health Professions, 23 papers in Economics and Econometrics and 8 papers in Emergency Medicine. Recurrent topics in Melvin J. Ingber's work include Geriatric Care and Nursing Homes (22 papers), Healthcare Policy and Management (21 papers) and Emergency and Acute Care Studies (8 papers). Melvin J. Ingber is often cited by papers focused on Geriatric Care and Nursing Homes (22 papers), Healthcare Policy and Management (21 papers) and Emergency and Acute Care Studies (8 papers). Melvin J. Ingber collaborates with scholars based in United States and Switzerland. Melvin J. Ingber's co-authors include Gregory C. Pope, Jesse M. Levy, John Z. Ayanian, Randall P. Ellis, Arlene S. Ash, John Robst, Sheila H. Roman, Harlan M. Krumholz, Jennifer A. Mattera and Lein Han and has published in prestigious journals such as Circulation, Annals of Internal Medicine and Journal of the American Geriatrics Society.

In The Last Decade

Melvin J. Ingber

42 papers receiving 2.3k citations

Hit Papers

Risk adjustment of Medicare capitation payments using the... 2004 2026 2011 2018 2004 200 400 600

Peers

Melvin J. Ingber
Denise M. Hynes United States
Carol P. Roth United States
Steven D. Culler United States
Kevin T. Stroupe United States
Elizabeth M. Sloss United States
R. Heather Palmer United States
Kathryn Fitch United States
Melvin J. Ingber
Citations per year, relative to Melvin J. Ingber Melvin J. Ingber (= 1×) peers Claudia Sanmartin

Countries citing papers authored by Melvin J. Ingber

Since Specialization
Citations

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

Fields of papers citing papers by Melvin J. Ingber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Melvin J. Ingber. 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 Melvin J. Ingber. The network helps show where Melvin J. Ingber may publish in the future.

Co-authorship network of co-authors of Melvin J. Ingber

This figure shows the co-authorship network connecting the top 25 collaborators of Melvin J. Ingber. A scholar is included among the top collaborators of Melvin J. Ingber 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 Melvin J. Ingber. Melvin J. Ingber 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.
Deutsch, Anne, et al.. (2023). Reliability and Validity of the Inpatient Rehabilitation Facility Discharge Mobility and Self-Care Quality Measures. Journal of the American Medical Directors Association. 24(5). 723–728.e4. 2 indexed citations
2.
Deutsch, Anne, et al.. (2022). Change in Mobility Quality Measure for Inpatient Rehabilitation Facilities: Exclusion Criteria and the Risk Adjustment Model. Archives of Physical Medicine and Rehabilitation. 103(6). 1096–1104. 3 indexed citations
3.
Deutsch, Anne, et al.. (2022). Inpatient Rehabilitation Facility Change in Self-Care and Change in Mobility Quality Measures: Development and Reliability and Validity Testing. Archives of Physical Medicine and Rehabilitation. 103(6). 1105–1112. 10 indexed citations
4.
Jones, Jessica, et al.. (2022). Implementation of a CMS Nursing Facility Initiative: Differences by Racial Minority Resident Population. Journal of Applied Gerontology. 42(5). 800–810.
5.
Coomer, Nicole M., et al.. (2020). Reducing Transfers among Long-Stay Nursing Facility Residents to Acute Care Settings: Effect of the 2013‒2016 Centers for Medicare and Medicaid Services Initiative. Journal of the American Medical Directors Association. 21(9). 1341–1345. 11 indexed citations
6.
Daras, Laura Coots, et al.. (2020). Inpatient rehabilitation facilities’ hospital readmission rates for medicare beneficiaries treated following a stroke. Topics in Stroke Rehabilitation. 28(1). 61–71. 12 indexed citations
7.
Feng, Zhanlian, et al.. (2018). Nursing Facilities Can Reduce Avoidable Hospitalizations Without Increasing Mortality Risk For Residents. Health Affairs. 37(10). 1640–1646. 8 indexed citations
8.
Daras, Laura Coots, et al.. (2017). Geographic Region and Profit Status Drive Variation in Hospital Readmission Outcomes Among Inpatient Rehabilitation Facilities in the United States. Archives of Physical Medicine and Rehabilitation. 99(6). 1060–1066. 9 indexed citations
9.
Pardasaney, Poonam, Anne Deutsch, Jeniffer Iriondo‐Perez, Melvin J. Ingber, & Tara McMullen. (2017). Measuring Inpatient Rehabilitation Facility Quality of Care: Discharge Self-Care Functional Status Quality Measure. Archives of Physical Medicine and Rehabilitation. 99(6). 1035–1041. 8 indexed citations
10.
Daras, Laura Coots, et al.. (2017). What Are Nursing Facilities Doing to Reduce Potentially Avoidable Hospitalizations?. Journal of the American Medical Directors Association. 18(5). 442–444. 15 indexed citations
11.
Morley, Melissa, et al.. (2014). Medicare Post-Acute Care Episodes and Payment Bundling. PubMed. 4(1). E1–E14. 26 indexed citations
12.
Smith, Laura, et al.. (2013). CMS' skilled nursing facility 30-day all-cause readmission measure (SNFRM): Design and analyses. The Gerontologist. 53. 579–580. 1 indexed citations
13.
Kautter, John, et al.. (2012). Improvements in Medicare Part D Risk Adjustment. Medical Care. 50(12). 1102–1108. 13 indexed citations
14.
Landefeld, C. Seth, Barbara J. Bowers, Andrew D. Feld, et al.. (2008). National Institutes of Health State-of-the-Science Conference Statement: Prevention of Fecal and Urinary Incontinence in Adults. Annals of Internal Medicine. 148(6). 449–458. 203 indexed citations
15.
Krumholz, Harlan M., Yun Wang, Jennifer A. Mattera, et al.. (2006). An Administrative Claims Model Suitable for Profiling Hospital Performance Based on 30-Day Mortality Rates Among Patients With Heart Failure. Circulation. 113(13). 1693–1701. 322 indexed citations
16.
Greenwald, Leslie, Jean M. Mulcahy Levy, & Melvin J. Ingber. (2000). Favorable selection in the Medicare+Choice program: new evidence.. PubMed. 21(3). 127–34. 24 indexed citations
17.
Greenwald, Leslie, et al.. (1998). Risk Adjustment for the Medicare program: lessons learned from research and demonstrations.. PubMed. 35(2). 193–209. 27 indexed citations
18.
Ingber, Melvin J.. (1998). The Current State of Risk Adjustment Technology for Capitation. Journal of Ambulatory Care Management. 21(4). 1–28. 29 indexed citations
19.
Riley, Gerald F., et al.. (1997). Trends: Disenrollment of Medicare Beneficiaries From HMOs. Health Affairs. 16(5). 117–124. 41 indexed citations
20.
Riley, Gerald F., et al.. (1996). Health status of Medicare enrollees in HMOs and fee-for-service in 1994.. PubMed. 17(4). 65–76. 86 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.

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