Peter N. Dean

1.3k citations
49 papers · 598 · h-index 11

Impact in

Papers in

Peter N. Dean

41 papers receiving 561 citations

Peers

Peter N. Dean
Comparison fields: 5 of 74
  • Cardiology and Cardiovascular Medicine 198
  • Public Administration 26
  • Epidemiology 200
  • Complementary and alternative medicine 27
  • Management Information Systems 29
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Phillip T. Burch United States
Anton V. Vladzymyrskyy Russia
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Citations per field
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Citations per year

Countries citing papers authored by Peter N. Dean

Since Specialization
Citations

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

Fields of papers citing papers by Peter N. Dean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter N. Dean. 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 Peter N. Dean. The network helps show where Peter N. Dean may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021103
2 201590
3 201180
4 201455
5 199049
6 201337
7 202321
8 201612
9 198012
10 198611
11 202410
12
Government budgeting in developing countries
19898
13 20218
14 20188
15 19898
16 19867
17 20017
18 20116
19 20196
20 19896

About Peter N. Dean

Peter N. Dean is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Pulmonary and Respiratory Medicine, Economics and Econometrics and Surgery, having authored 49 papers that have together received 598 indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (13 papers), Cardiovascular Effects of Exercise (10 papers), Cardiac Valve Diseases and Treatments (4 papers), Cardiac Arrhythmias and Treatments (4 papers), Aortic Disease and Treatment Approaches (3 papers), Cardiac Structural Anomalies and Repair (3 papers), Fiscal Policy and Economic Growth (2 papers) and Cardiac pacing and defibrillation studies (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (198 citations), Public Administration (26 citations), Epidemiology (200 citations), Complementary and alternative medicine (27 citations) and Management Information Systems (29 citations). Peter N. Dean has collaborated with scholars based in United States, Netherlands and Uganda. Frequent co-authors include Kimberly E. McHugh, Diane G. Hillman, Howard P. Gutgesell, Mark R. Conaway, Sheela Krishnan, Ankit B. Shah, Jonathan H. Kim, Meagan M. Wasfy, Benjamin D. Levine and Charles I. Berul. Their work appears in journals such as Journal of the American College of Cardiology, Financial Accountability and Management, Medicine & Science in Sports & Exercise, Congenital Heart Disease and Cardiology Clinics.

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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