David M. Eddy

167 papers receiving 11.8k citations

David M. Eddy's Hit Papers

Model Transparency and Validation: A Report of the ISPOR-SMDM Modeling Good Research Practices Task Force-7 2012 · 375 citations
3750+14+29Years since publication2505007501000

Peers

David M. Eddy
Comparison fields: 5 of 149
  • Family Practice 212
  • General Decision Sciences 171
  • Oncology 1.5k
  • Economics and Econometrics 1.5k
  • Health Information Management 345
Replace Stephen G. Pauker with:
Stephen G. Pauker United States
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Citations per year

Countries citing papers authored by David M. Eddy

Since Specialization
Citations

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

Fields of papers citing papers by David M. Eddy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 173 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Screening for Colorectal Cancer
Hit paper breakdown →
19901034
2
Screening for Cervical Cancer
Hit paper breakdown →
1990717
3
Model Transparency and Validation
Hit paper breakdown →
2012651
4
Probabilistic reasoning in clinical medicine: Problems and opportunities
Hit paper breakdown →
1982570
5 1984418
6
Model Transparency and Validation: A Report of the ISPOR-SMDM Modeling Good Research Practices Task Force-7
Hit paper breakdown →
2012375
7 2005290
8 1998268
9 1989264
10 2005258
11 2008220
12 2003215
13 2010213
14 1988212
15 1990203
16 2008201
17 1989194
18 1990190
19 2007184
20
A manual for assessing health practices & designing practice policies : the explicit approach
1992182

About David M. Eddy

David M. Eddy is a scholar working on Economics and Econometrics, Family Practice, Oncology, Public Health, Environmental and Occupational Health and Statistics, Probability and Uncertainty, having authored 173 papers that have together received 13.4k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (19 papers), Clinical practice guidelines implementation (14 papers), Global Cancer Incidence and Screening (13 papers), Healthcare Policy and Management (10 papers), Clinical Reasoning and Diagnostic Skills (10 papers), Colorectal Cancer Screening and Detection (7 papers), Meta-analysis and systematic reviews (5 papers) and Health Promotion and Cardiovascular Prevention (4 papers). The work is most often cited by research in Family Practice (212 citations), General Decision Sciences (171 citations), Oncology (1.5k citations), Economics and Econometrics (1.5k citations) and Health Information Management (345 citations). David M. Eddy has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Leonard Schlessinger, Richard Kahn, J. Jaime, John B. Wong, Kathryn Mack McDonald, William Hollingworth, Joel Tsevat, Vic Hasselblad, Charles H. Clanton and John Billings. Their work appears in journals such as JAMA, Annals of Internal Medicine, Health Affairs, Diabetes Care and Medical Decision Making.

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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