Peter van Dam

3.3k citations
125 papers · 2.3k indexed · 2 hit papers · h-index 22

Peter van Dam

113 papers receiving 2.2k citations

Hit Papers

Machine learn...1342009202620142020100200300400500

Peers

Peter van Dam
Comparison fields: 5 of 119
  • Cardiology and Cardiovascular Medicine 1.1k
  • Reproductive Medicine 310
  • Obstetrics and Gynecology 172
  • Health Informatics 24
  • Radiology, Nuclear Medicine and Imaging 354
Replace Elisabeth Weiss with:
Elisabeth Weiss United States
Hiroshi Igaki Japan
Masaaki Komatsu Japan
Marcus Vetter Switzerland
Zhen Zhang China
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Li Sun China
Shijun Wang United States
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Peter van Dam relative to Elisabeth Weiss United States Elisabeth Weiss's profile →
Citations per field
00.5×10×13.7×
Elisabeth Weiss · 1×
Citations per year

Countries citing papers authored by Peter van Dam

Since Specialization
Citations

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

Fields of papers citing papers by Peter van Dam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20234
2 20231
3
Machine learning for ECG diagnosis and risk stratification of occlusion myocardial infarctionbreakdown →
2023134
4 20231
5 20234
6 20220
7 20221
8 20222
9 202228
10 202117
11 202017
12 20195
13 20151
14 201413
15 201348
16 20111
17
Interactive simulation of the activation sequence: Replacing effect by cause
20115
18
ECGSIM: Interactive simulation of the ECG for teaching and research purposes
201014
19
Methods for initialization of activation based inverse electrocardiography using graphs derived from heart surface geometry
20092
20 200321

About Peter van Dam

Peter van Dam is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Industrial and Manufacturing Engineering, having authored 125 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (72 papers), ECG Monitoring and Analysis (42 papers), Cardiac Arrhythmias and Treatments (36 papers), Cardiac pacing and defibrillation studies (27 papers), Cardiac Imaging and Diagnostics (16 papers), Advanced MRI Techniques and Applications (15 papers), Cardiovascular Function and Risk Factors (11 papers) and Cardiovascular Effects of Exercise (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.1k citations), Reproductive Medicine (310 citations) and Obstetrics and Gynecology (172 citations). Peter van Dam has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include A. van Oosterom, Thom F. Oostendorp, Wiebren Tjalma, Jan Decloedt, Ivo De Wever, M. Van Gramberen, Ignace Vergote, Dana H. Brooks, André C. Linnenbank and Rob MacLeod. Their work appears in journals such as EP Europace, Heart Rhythm, Frontiers in Physiology, Journal of Electrocardiology and Journal of the American Heart Association.

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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