David M. Eddy

15.7k total citations · 4 hit papers
140 papers, 10.9k citations indexed

About

David M. Eddy is a scholar working on Economics and Econometrics, General Health Professions and Oncology. According to data from OpenAlex, David M. Eddy has authored 140 papers receiving a total of 10.9k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Economics and Econometrics, 37 papers in General Health Professions and 23 papers in Oncology. Recurrent topics in David M. Eddy's work include Health Systems, Economic Evaluations, Quality of Life (42 papers), Healthcare Policy and Management (24 papers) and Healthcare cost, quality, practices (16 papers). David M. Eddy is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (42 papers), Healthcare Policy and Management (24 papers) and Healthcare cost, quality, practices (16 papers). David M. Eddy collaborates with scholars based in United States, United Kingdom and Canada. David M. Eddy's co-authors include Leonard Schlessinger, J. Jaime, William Hollingworth, Kathryn M McDonald, John B. Wong, Joel Tsevat, Vic Hasselblad, Richard Kahn, Charles H. Clanton and Neil Dubin and has published in prestigious journals such as Science, New England Journal of Medicine and JAMA.

In The Last Decade

David M. Eddy

138 papers receiving 10.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Screening for Colorectal Cancer

1990 960 citations David M. Eddy profile →
Screening for Cervical Cancer

1990 682 citations David M. Eddy profile →
Model Transparency and Validation

2012 595 citations David M. Eddy et al. Medical Decision Making profile →
Model Transparency and Validation: A Report of the ISPOR-SMDM Modeling Good Research Practices Task Force-7

2012 348 citations David M. Eddy et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David M. Eddy United States	55	3.3k	2.9k	2.4k	1.8k	1.3k	140	10.9k
Harold C. Sox United States	47	2.1k 0.6×	2.3k 0.8×	1.1k 0.5×	2.1k 1.2×	1.6k 1.2×	122	14.7k
C. Daniel Mullins United States	48	3.1k 0.9×	2.2k 0.7×	1.5k 0.6×	1.7k 1.0×	1.2k 0.9×	361	10.7k
Klim McPherson United Kingdom	69	1.6k 0.5×	2.0k 0.7×	2.1k 0.9×	4.0k 2.2×	2.1k 1.6×	238	16.2k
John Adams United States	51	4.4k 1.3×	6.1k 2.1×	1.8k 0.8×	2.3k 1.3×	2.0k 1.5×	288	15.1k
Richard Lilford United Kingdom	65	2.9k 0.9×	3.8k 1.3×	1.3k 0.5×	3.4k 1.9×	1.9k 1.4×	422	16.5k
Jean L. Freeman United States	47	1.8k 0.5×	1.5k 0.5×	3.3k 1.4×	1000 0.6×	917 0.7×	116	8.9k
Josephine Mauskopf United States	48	4.8k 1.5×	2.6k 0.9×	1.1k 0.5×	1.4k 0.7×	2.3k 1.8×	207	13.7k
George P. Browman Canada	40	1.6k 0.5×	1.4k 0.5×	2.3k 0.9×	3.7k 2.0×	690 0.5×	128	10.1k
Mark C. Hornbrook United States	52	2.0k 0.6×	2.3k 0.8×	2.2k 0.9×	2.1k 1.1×	1.1k 0.8×	200	10.5k
Melissa Brouwers Canada	47	2.2k 0.7×	3.0k 1.0×	2.9k 1.2×	4.9k 2.7×	999 0.8×	209	12.4k

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-authorship network of co-authors of David M. Eddy

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Eddy. A scholar is included among the top collaborators of David M. Eddy 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 David M. Eddy. David M. Eddy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Eddy, David M.. (2008). Screening for Cancer in Adults. Novartis Foundation symposium. 110. 88–109.

2.

Palmer, Andrew, Valentine Wn, P McEwan, et al.. (2007). 'Computer modeling of diabetes and its complications: A report on the Fourth Mount Hood Challenge Meeting'. Diabetes Care. 30(6). 1638–1646. 178 indexed citations

3.

Schlessinger, Leonard & David M. Eddy. (2002). Archimedes: a new model for simulating health care systems—the mathematical formulation. Journal of Biomedical Informatics. 35(1). 37–50. 110 indexed citations

4.

Schneider, Eric C., et al.. (1999). Enhancing Performance Measurement. JAMA. 282(12). 1184–1184. 107 indexed citations

5.

Eddy, David M., Steven R. Cummings, Bess Dawson‐Hughes, et al.. (1998). Osteoporosis: Review of the evidence for prevention, diagnosis, and treatment and cost-effectiveness analysis. Status report. Osteoporosis International. 8. 47 indexed citations

6.

Eddy, David M.. (1996). Clinical decision making : from theory to practice : a collection of essays from JAMA. 25 indexed citations

7.

Eddy, David M.. (1994). Rationing Resources While Improving Quality. JAMA. 272(10). 817–817. 42 indexed citations

8.

Eddy, David M.. (1993). Three Battles to Watch in the 1990s. JAMA. 270(4). 520–520. 83 indexed citations

9.

Eddy, David M. & Victor Hasselblad. (1992). FAST PRO : software for meta-analysis by the confidence profile method. Academic Press eBooks. 62 indexed citations

10.

Eddy, David M.. (1992). Clinical decision making: from theory to practice. Cost-effectiveness analysis. Will it be accepted?. JAMA. 268(1). 132–136. 17 indexed citations

11.

Eddy, David M.. (1992). Cost-effectiveness Analysis. JAMA. 267(24). 3342–3342. 38 indexed citations

12.

Eddy, David M.. (1992). Clinical decision making: from theory to practice. Cost-effectiveness analysis. Is it up to the task?. JAMA. 267(24). 3342–3348. 25 indexed citations

13.

Eddy, David M.. (1991). Common screening tests. 68 indexed citations

14.

Eddy, David M.. (1991). Clinical decision making: from theory to practice. Rationing by patient choice. JAMA. 265(1). 105–108. 16 indexed citations

15.

Eddy, David M.. (1991). What care is 'essential'? What services are 'basic'?. JAMA. 265(6). 782–782. 37 indexed citations

16.

Eddy, David M., Vic Hasselblad, & Ross D. Shachter. (1990). An Introduction to a Bayesian Method for Meta-analysis. Medical Decision Making. 10(1). 15–23. 66 indexed citations

17.

Eddy, David M.. (1990). Practice Policies—Guidelines for Methods. JAMA. 263(13). 1839–1839. 99 indexed citations

18.

Eddy, David M.. (1990). The challenge.. PubMed. 263(2). 287–90. 22 indexed citations

19.

Adar, R, Gregory C. Critchfield, & David M. Eddy. (1989). A confidence profile analysis of the results of femoropopliteal percutaneous transluminal angioplasty in the treatment of lower-extremity ischemia. Journal of Vascular Surgery. 10(1). 57–67. 8 indexed citations

20.

Eddy, David M.. (1985). Detecting Colon Cancer. Science. 229(4719). 1186–1186. 2 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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