Alan Rozanski

20.5k citations
279 papers · 13.9k indexed · 3 hit papers · h-index 57

Alan Rozanski

271 papers receiving 13.3k citations

Hit Papers

The epidemiology, pathophysiology, and manageme...881198820262000201350010001.5k2.0k

Peers

Alan Rozanski
Comparison fields: 5 of 176
  • Cardiology and Cardiovascular Medicine 8.5k
  • Radiology, Nuclear Medicine and Imaging 6.4k
  • Behavioral Neuroscience 600
  • Applied Psychology 487
  • Health 589
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Citations per field
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Citations per year

Countries citing papers authored by Alan Rozanski

Since Specialization
Citations

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

Fields of papers citing papers by Alan Rozanski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alan Rozanski. 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 Alan Rozanski. The network helps show where Alan Rozanski may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20250
4 20250
5 20242
6 202355
7 20238
8 20232
9 202216
10 202210
11 202013
12 202014
13 202014
14 201916
15
Abstract 15137: Machine Learning Adds to Standard Clinical & CAC Assessments in Predicting 10-Year Coronary Heart Disease & Cardiovascular Disease Deaths: Insight From the Coronary Artery Calcium Consortium of 66,636 Patients
20171
16
Roles of nuclear cardiology, cardiac computed tomography, and cardiac magnetic resonance: Noninvasive risk stratification and a conceptual framework for the selection of noninvasive imaging tests in patients with known or suspected coronary artery disease.
200684
17
Influence of arrhythmias on gated SPECT myocardial perfusion and function quantification.
199934
18 199515
19 198819
20 198710

About Alan Rozanski

Alan Rozanski is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Complementary and alternative medicine, having authored 279 papers that have together received 13.9k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (201 papers), Cardiovascular Function and Risk Factors (54 papers), Advanced MRI Techniques and Applications (51 papers), Acute Myocardial Infarction Research (45 papers), Advanced X-ray and CT Imaging (36 papers), Cardiac Health and Mental Health (32 papers), Cardiovascular Disease and Adiposity (28 papers) and Heart Rate Variability and Autonomic Control (22 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (8.5k citations), Radiology, Nuclear Medicine and Imaging (6.4k citations) and Behavioral Neuroscience (600 citations). Alan Rozanski has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include James A. Blumenthal, Daniel S. Berman, Jay R. Kaplan, John D. Friedman, Laura D. Kubzansky, Sean W. Hayes, Heidi Gransar, David S. Krantz, Leslee J. Shaw and C. Noel Bairey Merz. Their work appears in journals such as Journal of Nuclear Cardiology, Journal of the American College of Cardiology, The American Journal of Cardiology, American Heart Journal and JACC. Cardiovascular imaging.

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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