Robert A. Rosati

8.9k citations
71 papers · 6.2k · 1 hit paper · h-index 35

Impact in

Papers in

Robert A. Rosati

69 papers receiving 5.6k citations

Hit Papers

Regression modelling strategies for improved prognostic prediction 1984 · 1.4k citations
1.4k0+14+28Years since publication4008001.2k

Peers

Robert A. Rosati
Comparison fields: 5 of 186
  • Cardiology and Cardiovascular Medicine 3.5k
  • Radiology, Nuclear Medicine and Imaging 2.5k
  • Statistics and Probability 322
  • Surgery 1.7k
  • Family Practice 71
Replace David B. Pryor with:
David B. Pryor United States
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Robert A. Rosati relative to David B. Pryor United States David B. Pryor's profile →
Citations per field
00.5×1.5×
David B. Pryor · 1×
Citations per year

Countries citing papers authored by Robert A. Rosati

Since Specialization
Citations

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

Fields of papers citing papers by Robert A. Rosati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert A. Rosati. 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 Robert A. Rosati. The network helps show where Robert A. Rosati may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Regression modelling strategies for improved prognostic prediction
Hit paper breakdown →
19841383
2 1978364
3 1985361
4 1979303
5 1984276
6 1983251
7 1986193
8 1975190
9 1973189
10 1978175
11 1984171
12 1980135
13 1982119
14 1986107
15 1988101
16 198097
17 198092
18 198390
19 197490
20 198188

About Robert A. Rosati

Robert A. Rosati is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Economics and Econometrics and Statistics and Probability, having authored 71 papers that have together received 6.2k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (31 papers), Coronary Interventions and Diagnostics (14 papers), Acute Myocardial Infarction Research (13 papers), Cardiac electrophysiology and arrhythmias (8 papers), Health Systems, Economic Evaluations, Quality of Life (8 papers), Cardiovascular Function and Risk Factors (6 papers), Cardiac Valve Diseases and Treatments (6 papers) and Cardiac, Anesthesia and Surgical Outcomes (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (3.5k citations), Radiology, Nuclear Medicine and Imaging (2.5k citations), Statistics and Probability (322 citations), Surgery (1.7k citations) and Family Practice (71 citations). Robert A. Rosati has collaborated with scholars based in United States, South Korea and Italy. Frequent co-authors include Frank E. Harrell, David B. Pryor, Kerry L. Lee, Robert M. Califf, Victor S. Behar, Galen S. Wagner, Phillip J. Harris, Daniel B. Mark, Andrew G. Wallace and Mark A. Hlatky. Their work appears in journals such as Circulation, The American Journal of Cardiology, The American Journal of Medicine, Journal of the American College of Cardiology and Circulation Research.

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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