Frank E. Harrell
Impact in
- Statistics and Probability top 0.02%
- Statistical Methods in Epidemiology
- Statistical Methods and Inference
-
- Acute Myocardial Infarction Research
Papers in
-
- Statistical Methods in Epidemiology 61
- Statistical Methods and Bayesian Inference 33
- Statistical Methods and Inference 33
- Statistical Methods and Applications 22
- Statistical Methods in Clinical Trials 22
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- Acute Myocardial Infarction Research 24
- Co-authors
- Kerry L. Lee (28 shared papers)Daniel B. Mark (28 shared papers)Ewout Willem Steyerberg (12 shared papers)Robert M. Califf (46 shared papers)Karel G.M. Moons (16 shared papers)David B. Pryor (34 shared papers)Robert A. Rosati (29 shared papers)Marinus J.C. Eijkemans (3 shared papers)
- Journals
- Journal of the American College of Cardiology (26 papers)Circulation (23 papers)The American Journal of Cardiology (22 papers)Statistics in Medicine (18 papers)Journal of Clinical Epidemiology (16 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Frank E. Harrell
406 papers receiving 60.3k citations
Frank E. Harrell's Hit Papers
Peers
Comparison fields: 5 of 226
- Statistics and Probability 5.7k
- Cardiology and Cardiovascular Medicine 8.6k
- Radiology, Nuclear Medicine and Imaging 4.9k
- Health Information Management 1.9k
- Surgery 8.6k
Countries citing papers authored by Frank E. Harrell
This map shows the geographic impact of Frank E. Harrell'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 Frank E. Harrell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank E. Harrell more than expected).
Fields of papers citing papers by Frank E. Harrell
This network shows the impact of papers produced by Frank E. Harrell. 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 Frank E. Harrell. The network helps show where Frank E. Harrell may publish in the future.
Co-authors
The 25 scholars most cited alongside Frank E. Harrell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 418 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | MULTIVARIABLE PROGNOSTIC MODELS: ISSUES IN DEVELOPING MODELS, EVALUATING ASSUMPTIONS AND ADEQUACY, AND MEASURING AND REDUCING ERRORS Hit paper breakdown → | 1996 | 8320 |
| 2 | Regression Modeling Strategies Hit paper breakdown → | 2001 | 7982 |
| 3 | Regression Modeling Strategies Hit paper breakdown → | 2015 | 4049 |
| 4 | Evaluating the Yield of Medical Tests Hit paper breakdown → | 1982 | 2789 |
| 5 | Internal validation of predictive models Hit paper breakdown → | 2001 | 2181 |
| 6 | Initial Invasive or Conservative Strategy for Stable Coronary Disease Hit paper breakdown → | 2020 | 1707 |
| 7 | Calculating the sample size required for developing a clinical prediction model Hit paper breakdown → | 2020 | 1630 |
| 8 | Regression modelling strategies for improved prognostic prediction Hit paper breakdown → | 1984 | 1500 |
| 9 | Regression modeling strategies : with applications to linear models, logistic and ordinal regression, and survival analysis Hit paper breakdown → | 2015 | 1481 |
| 10 | Outcomes Following Acute Exacerbation of Severe Chronic Obstructive Lung Disease. The SUPPORT Investigators (Study to Understand Prognoses and Preferences for Outcomes and Risks of Treatments) Hit paper breakdown → | 1996 | 1153 |
| 11 | Criteria for Evaluation of Novel Markers of Cardiovascular Risk Hit paper breakdown → | 2009 | 946 |
| 12 | Cardiac Troponin T Levels for Risk Stratification in Acute Myocardial Ischemia Hit paper breakdown → | 1996 | 929 |
| 13 | Prediction models need appropriate internal, internal–external, and external validation Hit paper breakdown → | 2015 | 892 |
| 14 | 2006 | 815 | |
| 15 | Minimum sample size for developing a multivariable prediction model: PART II ‐ binary and time‐to‐event outcomes Hit paper breakdown → | 2018 | 766 |
| 16 | 2000 | 664 | |
| 17 | Prognostic Value of a Treadmill Exercise Score in Outpatients with Suspected Coronary Artery Disease Hit paper breakdown → | 1991 | 645 |
| 18 | 1990 | 616 | |
| 19 | 2010 | 473 | |
| 20 | 2001 | 467 |
About Frank E. Harrell
Frank E. Harrell is a scholar working on Statistics and Probability, Cardiology and Cardiovascular Medicine, Surgery, Radiology, Nuclear Medicine and Imaging and Public Health, Environmental and Occupational Health, having authored 418 papers that have together received 63.1k indexed citations. Recurring topics across this work include Statistical Methods in Epidemiology (61 papers), Coronary Interventions and Diagnostics (45 papers), Cardiac Imaging and Diagnostics (40 papers), Statistical Methods and Bayesian Inference (33 papers), Statistical Methods and Inference (33 papers), Acute Myocardial Infarction Research (24 papers), Statistical Methods and Applications (22 papers) and Statistical Methods in Clinical Trials (22 papers). The work is most often cited by research in Statistics and Probability (5.7k citations), Cardiology and Cardiovascular Medicine (8.6k citations), Radiology, Nuclear Medicine and Imaging (4.9k citations), Health Information Management (1.9k citations) and Surgery (8.6k citations). Frank E. Harrell has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Kerry L. Lee, Daniel B. Mark, Ewout Willem Steyerberg, Robert M. Califf, Karel G.M. Moons, David B. Pryor, Robert A. Rosati, Marinus J.C. Eijkemans, J. Dik F. Habbema and Yvonne Vergouwe. Their work appears in journals such as Journal of the American College of Cardiology, Circulation, The American Journal of Cardiology, Statistics in Medicine and Journal of Clinical Epidemiology.
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.