Gerard van Herpen

8.0k total citations · 3 hit papers
77 papers, 5.8k citations indexed

About

Gerard van Herpen is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Gerard van Herpen has authored 77 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Cardiology and Cardiovascular Medicine, 20 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Molecular Biology. Recurrent topics in Gerard van Herpen's work include Cardiac electrophysiology and arrhythmias (50 papers), ECG Monitoring and Analysis (45 papers) and Cardiac Imaging and Diagnostics (20 papers). Gerard van Herpen is often cited by papers focused on Cardiac electrophysiology and arrhythmias (50 papers), ECG Monitoring and Analysis (45 papers) and Cardiac Imaging and Diagnostics (20 papers). Gerard van Herpen collaborates with scholars based in Netherlands, United States and United Kingdom. Gerard van Herpen's co-authors include Jan A. Kors, Jan H. van Bemmel, Albert Hofman, Bruno H. Stricker, Deirdre A.M. van der Kuip, Jan Heeringa, Gregory Y.H. Lip, Jacqueline C.M. Witteman, Theo Stijnen and Pentti M. Rautaharju and has published in prestigious journals such as New England Journal of Medicine, The Lancet and Circulation.

In The Last Decade

Gerard van Herpen

74 papers receiving 5.5k citations

Hit Papers

Prevalence, incidence and lifetime risk of atrial fibrill... 2006 2026 2012 2019 2006 2007 2007 400 800 1.2k

Peers

Gerard van Herpen
Kenneth M. Steín United States
Lorenzo A. DiCarlo United States
Roger A. Winkle United States
Arthur Garson United States
Rik Willems Belgium
Bruce D. Lindsay United States
Kenneth M. Steín United States
Gerard van Herpen
Citations per year, relative to Gerard van Herpen Gerard van Herpen (= 1×) peers Kenneth M. Steín

Countries citing papers authored by Gerard van Herpen

Since Specialization
Citations

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

Fields of papers citing papers by Gerard van Herpen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerard van Herpen

This figure shows the co-authorship network connecting the top 25 collaborators of Gerard van Herpen. A scholar is included among the top collaborators of Gerard van Herpen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gerard van Herpen. Gerard van Herpen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Berg, Marten E. van den, Peter R. Rijnbeek, Maartje N. Niemeijer, et al.. (2018). Normal Values of Corrected Heart-Rate Variability in 10-Second Electrocardiograms for All Ages. Frontiers in Physiology. 9. 424–424. 72 indexed citations
3.
Dehghan, Abbas, Maarten J.G. Leening, Eric Boersma, et al.. (2013). Comparison of Prognosis in Unrecognized Versus Recognized Myocardial Infarction in Men Versus Women >55 Years of Age (from the Rotterdam Study). The American Journal of Cardiology. 113(1). 1–6. 20 indexed citations
4.
Rijnbeek, Peter R., Gerard van Herpen, Michiel L. Bots, et al.. (2012). Normal limits of the adult electrocardiogram for ages 16-90 years. European Heart Journal. 33. 702–702. 1 indexed citations
5.
Dijk, W.A., et al.. (2010). Validation of electrocardiographic criteria for predicting the culprit artery in patients with acute myocardial infarction. Computing in Cardiology. 21–24. 2 indexed citations
6.
Postema, Pieter G., Pascal F.H.M. van Dessel, Jan A. Kors, et al.. (2010). Local Depolarization Abnormalities Are the Dominant Pathophysiologic Mechanism for Type 1 Electrocardiogram in Brugada Syndrome. Journal of the American College of Cardiology. 55(8). 789–797. 102 indexed citations
7.
Schijvenaars, Bob J.A., Gerard van Herpen, & Jan A. Kors. (2008). Intraindividual variability in electrocardiograms. Journal of Electrocardiology. 41(3). 190–196. 62 indexed citations
8.
Finlay, Dewar, Chris Nugent, Jan A. Kors, et al.. (2007). Optimizing the 12-lead electrocardiogram: a data driven approach to locating alternative recording sites. Journal of Electrocardiology. 40(3). 292–299. 10 indexed citations
9.
Kligfield, Paul, Leonard S. Gettes, James J. Bailey, et al.. (2007). Recommendations for the Standardization and Interpretation of the Electrocardiogram. Journal of the American College of Cardiology. 49(10). 1109–1127. 602 indexed citations breakdown →
10.
Boersma, Eric, Jan A. Kors, Gerard van Herpen, et al.. (2006). Incidence of recognized and unrecognized myocardial infarction in men and women aged 55 and older: the Rotterdam Study. European Heart Journal. 27(6). 729–736. 127 indexed citations
11.
Hooft, C, Jan Heeringa, Gerard van Herpen, et al.. (2004). Drug-induced atrial fibrillation. Journal of the American College of Cardiology. 44(11). 2117–2124. 96 indexed citations
12.
Kors, Jan A., Gerard van Herpen, Simon Meij, et al.. (2004). The Electrical T-Axis and the Spatial QRS-T Angle Are Independent Predictors of Long-Term Mortality in Patients Admitted with Acute Ischemic Chest Pain. Cardiology. 101(4). 199–207. 58 indexed citations
13.
Kors, Jan A. & Gerard van Herpen. (2002). How many electrodes and where? A [ldquo ]poldermodel[rdquo ] for electrocardiography. Journal of Electrocardiology. 35(4). 7–12. 15 indexed citations
14.
Kors, Jan A. & Gerard van Herpen. (2000). A novel method to detect electrocardiographic electrode interchanges. Journal of Electrocardiology. 33. 209–210. 2 indexed citations
15.
Kors, Jan A., Martine C. de Bruyne, Arno W. Hoes, et al.. (1998). T axis as an indicator of risk of cardiac events in elderly people. The Lancet. 352(9128). 601–605. 133 indexed citations
16.
Schijvenaars, Bob J.A., Jan A. Kors, Gerard van Herpen, Fred Kornreich, & Jan H. van Bemmel. (1997). Effect of electrode positioning on ECG interpretation by computer. Journal of Electrocardiology. 30(3). 247–256. 32 indexed citations
17.
Kors, Jan A., et al.. (1996). Validation of a new computer program for Minnesota coding. Journal of Electrocardiology. 29. 83–88. 69 indexed citations
18.
Kors, Jan A., Gerard van Herpen, Jos L. Willems, & Jan H. van Bemmel. (1992). Improvement off automated electrocardiographic diagnosis by combination of computer interpretations of the electrocardiogram and vectorcardiogram. The American Journal of Cardiology. 70(1). 96–99. 26 indexed citations
19.
Willems, Jos L., Cassiano Abreu‐Lima, P Arnaud, et al.. (1991). The Diagnostic Performance of Computer Programs for the Interpretation of Electrocardiograms. New England Journal of Medicine. 325(25). 1767–1773. 427 indexed citations
20.
Rikmenspoel, Robert, et al.. (1960). Photo-electric and cinematographic study of the motility of bull spermatozoa. I. Methods of measurement.. Tijdschrift voor diergeneeskunde. 85. 909–933. 3 indexed citations

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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