Richard F. Averill

2.7k total citations · 1 hit paper
64 papers, 2.1k citations indexed

About

Richard F. Averill is a scholar working on Economics and Econometrics, General Health Professions and Health Information Management. According to data from OpenAlex, Richard F. Averill has authored 64 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Economics and Econometrics, 28 papers in General Health Professions and 12 papers in Health Information Management. Recurrent topics in Richard F. Averill's work include Healthcare Policy and Management (39 papers), Primary Care and Health Outcomes (21 papers) and Medical Coding and Health Information (11 papers). Richard F. Averill is often cited by papers focused on Healthcare Policy and Management (39 papers), Primary Care and Health Outcomes (21 papers) and Medical Coding and Health Information (11 papers). Richard F. Averill collaborates with scholars based in United States, Belgium and United Kingdom. Richard F. Averill's co-authors include Robert B. Fetter, Norbert Goldfield, John D. Thompson, J. L. Freeman, Yoonhee Shin, John S. Hughes, Elizabeth C. McCullough, John Muldoon, Jon Eisenhandler and James C. Gay and has published in prestigious journals such as Medical Care, Health Affairs and Decision Sciences.

In The Last Decade

Richard F. Averill

59 papers receiving 1.8k citations

Hit Papers

Case mix definition by diagnosis-related groups. 1980 2026 1995 2010 1980 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard F. Averill United States 16 901 870 405 351 236 64 2.1k
Wilm Quentin Germany 25 1.2k 1.3× 933 1.1× 381 0.9× 222 0.6× 174 0.7× 102 2.4k
Jane E. Sisk United States 24 884 1.0× 646 0.7× 632 1.6× 156 0.4× 290 1.2× 58 2.5k
Norbert Goldfield United States 15 680 0.8× 520 0.6× 246 0.6× 215 0.6× 191 0.8× 74 1.3k
Lucy A. Savitz United States 25 970 1.1× 448 0.5× 439 1.1× 200 0.6× 132 0.6× 85 2.3k
R. Heather Palmer United States 25 1.1k 1.2× 764 0.9× 176 0.4× 290 0.8× 290 1.2× 69 2.5k
Hoangmai H. Pham United States 23 1.7k 1.9× 1.3k 1.5× 291 0.7× 218 0.6× 130 0.6× 41 2.9k
Yuichi Imanaka Japan 27 1.0k 1.1× 600 0.7× 627 1.5× 347 1.0× 306 1.3× 240 3.2k
Steven A. Finkler United States 19 976 1.1× 730 0.8× 276 0.7× 340 1.0× 225 1.0× 52 2.6k
Dean G. Smith United States 25 768 0.9× 805 0.9× 139 0.3× 226 0.6× 291 1.2× 110 2.1k
Randall D. Cebul United States 33 1.1k 1.2× 737 0.8× 766 1.9× 255 0.7× 635 2.7× 79 3.5k

Countries citing papers authored by Richard F. Averill

Since Specialization
Citations

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

Fields of papers citing papers by Richard F. Averill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard F. Averill. 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 Richard F. Averill. The network helps show where Richard F. Averill may publish in the future.

Co-authorship network of co-authors of Richard F. Averill

This figure shows the co-authorship network connecting the top 25 collaborators of Richard F. Averill. A scholar is included among the top collaborators of Richard F. Averill 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 Richard F. Averill. Richard F. Averill 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.
Goldfield, Norbert, et al.. (2016). Is the CMS Hospital-Acquired Condition Reduction Program a Valid Measure of Hospital Performance?. American Journal of Medical Quality. 32(3). 254–260. 11 indexed citations
2.
Averill, Richard F., et al.. (2016). Rethinking Medicare Payment Adjustments for Quality. Journal of Ambulatory Care Management. 39(2). 98–107. 4 indexed citations
3.
Averill, Richard F., et al.. (2016). Comparison of the Properties of Regression and Categorical Risk-Adjustment Models. Journal of Ambulatory Care Management. 39(2). 157–165. 5 indexed citations
4.
Averill, Richard F., et al.. (2015). Impact of the Transition to ICD-10 on Medicare Inpatient Hospital Payments. 2 indexed citations
5.
Averill, Richard F., et al.. (2013). Misperceptions, Misinformation, and Misrepresentations: the ICD-10-CM/PCS Saga. 4 indexed citations
6.
Averill, Richard F., Norbert Goldfield, & John S. Hughes. (2011). Paying for Outcomes, Not Performance: Lessons from the Medicare Inpatient Prospective Payment System. The Joint Commission Journal on Quality and Patient Safety. 37(4). 184–192. 18 indexed citations
7.
McCullough, Elizabeth C., et al.. (2011). A New Approach to Reducing Payments Made to Hospitals with High Complication Rates. INQUIRY The Journal of Health Care Organization Provision and Financing. 48(1). 68–83. 11 indexed citations
8.
McCullough, Elizabeth C., et al.. (2011). Impact of the Transition to ICD-10 on Medicare Inpatient Hospital Payments. Europe PMC (PubMed Central). 1(2). E1–E13. 12 indexed citations
9.
Goldfield, Norbert, et al.. (2008). A Response to the Prometheus Proposal—Well Intended but Impossible to Implement. American Journal of Medical Quality. 23(2). 85–89. 4 indexed citations
10.
Goldfield, Norbert, Richard F. Averill, James C. Vertrees, et al.. (2008). Reforming the Primary Care Physician Payment System. Journal of Ambulatory Care Management. 31(1). 24–31. 11 indexed citations
11.
Averill, Richard F., James C. Vertrees, Elizabeth C. McCullough, John S. Hughes, & Norbert Goldfield. (2006). Redesigning Medicare Inpatient PPS to Adjust Payment for Post-Admission Complications. PubMed Central. 21 indexed citations
12.
Averill, Richard F., et al.. (2002). A closer look at all-patient refined DRGs.. PubMed. 73(1). 46–50. 79 indexed citations
13.
Goldfield, Norbert, et al.. (1999). The Prospective Risk Adjustment System. Journal of Ambulatory Care Management. 22(2). 41–52. 4 indexed citations
14.
Averill, Richard F.. (1998). Public Dissemination of Provider Performance Comparisons in the United States. Healthcare Quarterly. 1(3). 39–41. 3 indexed citations
15.
Averill, Richard F., et al.. (1992). A study of the relationship between severity of illness and hospital cost in New Jersey hospitals.. PubMed. 27(5). 587–606; discussion 607. 97 indexed citations
16.
Averill, Richard F., et al.. (1984). The role of utilization management under PPS.. PubMed. 38(10). 60–6. 2 indexed citations
17.
Fetter, Robert B., et al.. (1984). Ambulatory visit groups: a framework for measuring productivity in ambulatory care.. PubMed. 19(4). 415–37. 33 indexed citations
18.
Fetter, Robert B., Yoonhee Shin, J. L. Freeman, Richard F. Averill, & John D. Thompson. (1980). Case mix definition by diagnosis-related groups.. PubMed. 18(2 Suppl). iii, 1–53. 655 indexed citations breakdown →
19.
Averill, Richard F., et al.. (1979). The Relationship between Diagnostic Information Available at Admission and Discharge for Patients in One PSRO Setting. Medical Care. 17(4). 369–381. 3 indexed citations
20.
Fetter, Robert B., et al.. (1977). A COMPUTER LANGUAGE FOR MATHEMATICAL PROGRAM FORMULATION. Decision Sciences. 8(2). 427–444. 9 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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