Frank E. Harrell

81.7k citations
325 papers · 52.2k · 19 hit papers · h-index 90

Impact in

Papers in

Frank E. Harrell

317 papers receiving 50.8k citations

Frank E. Harrell's Hit Papers

Evaluation of clinical prediction models (part 1): from development to external validation 2024 · 227 citations
2270+10+20Years since publication2.5k5.0k7.5k

Peers

Frank E. Harrell
Comparison fields: 5 of 232
  • Cardiology and Cardiovascular Medicine 7.8k
  • Statistics and Probability 2.9k
  • Radiology, Nuclear Medicine and Imaging 4.1k
  • Pulmonary and Respiratory Medicine 4.9k
  • Surgery 6.6k
Replace Gary G. Koch with:
Gary G. Koch United States
George Davey Smith United Kingdom
Jonathan J Deeks United Kingdom
Jonathan A C Sterne United Kingdom
Stuart R. Lipsitz United States
Barbara J. McNeil United States
J. Richard Landis United States
Peter C. Austin Canada
Joseph L. Fleiss United States
Karel G.M. Moons Netherlands
Frank E. Harrell relative to Gary G. Koch United States Gary G. Koch's profile →
Citations per field
00.5×2.5×
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Citations per year

Countries citing papers authored by Frank E. Harrell

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Frank E. Harrell Line = papers co-authored together Frank E. Harrell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 325 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 →
19967630
2
Regression Modeling Strategies
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20017466
3
Regression Modeling Strategies
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20153582
4
Evaluating the Yield of Medical Tests
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19822484
5
Internal validation of predictive models
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20012004
6
Regression modelling strategies for improved prognostic prediction
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19841396
7
Regression modeling strategies : with applications to linear models, logistic and ordinal regression, and survival analysis
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20151366
8
Calculating the sample size required for developing a clinical prediction model
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20201342
9
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)
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19961059
10
Cardiac Troponin T Levels for Risk Stratification in Acute Myocardial Ischemia
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1996857
11
Criteria for Evaluation of Novel Markers of Cardiovascular Risk
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2009810
12
Using the outcome for imputation of missing predictor values was preferred
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2006754
13
Prediction models need appropriate internal, internal–external, and external validation
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2015739
14
Prognostic modelling with logistic regression analysis: a comparison of selection and estimation methods in small data sets
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2000633
15
Minimum sample size for developing a multivariable prediction model: PART II ‐ binary and time‐to‐event outcomes
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2018626
16
Partial Proportional Odds Models for Ordinal Response Variables
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1990597
17
Prognostic Value of a Treadmill Exercise Score in Outpatients with Suspected Coronary Artery Disease
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1991550
18 2001445
19 2010443
20 1995416

About Frank E. Harrell

Frank E. Harrell is a scholar working on Cardiology and Cardiovascular Medicine, Statistics and Probability, Surgery, Radiology, Nuclear Medicine and Imaging and Economics and Econometrics, having authored 325 papers that have together received 52.2k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (39 papers), Health Systems, Economic Evaluations, Quality of Life (35 papers), Statistical Methods and Inference (25 papers), Statistical Methods and Bayesian Inference (22 papers), Acute Myocardial Infarction Research (22 papers), Cardiac electrophysiology and arrhythmias (19 papers), Cardiovascular Function and Risk Factors (15 papers) and Coronary Interventions and Diagnostics (14 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (7.8k citations), Statistics and Probability (2.9k citations), Radiology, Nuclear Medicine and Imaging (4.1k citations), Pulmonary and Respiratory Medicine (4.9k citations) and Surgery (6.6k citations). Frank E. Harrell has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Kerry L. Lee, Daniel B. Mark, Ewout W. Steyerberg, David B. Pryor, Karel G.M. Moons, Robert A. Rosati, J. Dik F. Habbema, Marinus J.C. Eijkemans, Robert M. Califf and Yvonne Vergouwe. Their work appears in journals such as The American Journal of Cardiology, Statistics in Medicine, Journal of the American College of Cardiology, Circulation 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.

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