David van Klaveren

9.1k citations
121 papers · 4.5k indexed · 4 hit papers · h-index 32
Topics
Health Systems, Economic Evaluations, Quality of Life (23 papers)Coronary Interventions and Diagnostics (20 papers)Statistical Methods in Clinical Trials (11 papers)
Journals
The LancetNature CommunicationsSHILAP Revista de lepidopterología

In The Last Decade

David van Klaveren

110 papers receiving 4.4k citations

Hit Papers

Derivation and validation of the predicting bleeding comp...20132026201720212017201320182019200400600

Peers

David van Klaveren
Comparison fields: 5 of 138
  • Cardiology and Cardiovascular Medicine 2.1k
  • Surgery 1.8k
  • Radiology, Nuclear Medicine and Imaging 753
  • Pulmonary and Respiratory Medicine 650
  • Epidemiology 574
Replace Eric L. Eisenstein with:
Eric L. Eisenstein United States
George C.M. Siontis Switzerland
Ralph B. D' Agostino United States
Yea‐Huei Kao Yang Taiwan
Ignacio Ferreira‐González Spain
Étienne Gayat France
Ameet Bakhai United Kingdom
Yannick Le Manach France
Fabrizio D’Ascenzo Italy
Daan Nieboer Netherlands
David van Klaveren relative to Eric L. Eisenstein United States Eric L. Eisenstein's profile →
Citations per field
00.5×4.8×
Eric L. Eisenstein · 1×
Citations per year

Countries citing papers authored by David van Klaveren

Since Specialization
Citations

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

Fields of papers citing papers by David van Klaveren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David van Klaveren

This figure shows the co-authorship network connecting the top 25 collaborators of David van Klaveren. A scholar is included among the top collaborators of David van Klaveren 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 David van Klaveren. David van Klaveren 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
#WorkIndexed citations
1 0
2 0
3 1
4 2
5 0
6 1
7 15
8 11
9 9
10 7
11 11
12 6
13 21
14 2
15 39
16 14
17 105
18 0
19 24
20 46

About David van Klaveren

David van Klaveren is a scholar working on Statistics and Probability, Cardiology and Cardiovascular Medicine and Emergency Medicine, having authored 121 papers that have together received 4.5k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (23 papers), Coronary Interventions and Diagnostics (20 papers) and Statistical Methods in Clinical Trials (11 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.1k citations), Internal Medicine (224 citations) and Statistics and Probability (377 citations). David van Klaveren has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Ewout W. Steyerberg, David M. Kent, Patrick W. Serruys, Antonio Colombo, Yvonne Vergouwe, Gregg W. Stone, Yoshinobu Onuma, Peter C. Austin, Stephan Windecker and Marco Valgimigli. Their work appears in journals such as The Lancet, Nature Communications and SHILAP Revista de lepidopterología.

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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