Gerard van Breukelen

13.1k citations
177 papers · 9.3k indexed · 3 hit papers · h-index 50

Impact in

Papers in

Gerard van Breukelen

170 papers receiving 8.9k citations

Hit Papers

ANCOVA versus change from baseline had more power in randomized studies and more bias in nonrandomized studies 2006 · 565 citations
5652005202620122019100200300400500

Peers

Gerard van Breukelen
Comparison fields: 5 of 193
  • Applied Psychology 974
  • Psychiatry and Mental health 1.9k
  • Pharmacology 1.8k
  • Cognitive Neuroscience 1.9k
  • Statistics and Probability 767
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Citations per field
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Citations per year

Countries citing papers authored by Gerard van Breukelen

Since Specialization
Citations

This map shows the geographic impact of Gerard van Breukelen'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 Breukelen 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 Breukelen more than expected).

Fields of papers citing papers by Gerard van Breukelen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 20230
4 20230
5 20234
6 20213
7 20170
8 20175
9 201625
10 201438
11 2013137
12 201310
13 201227
14 200814
15 200866
16 2006294
17 200655
18 200522
19 200013
20 1998108

About Gerard van Breukelen

Gerard van Breukelen is a scholar working on Statistics and Probability, Applied Psychology, Management Science and Operations Research, Chemical Health and Safety and Speech and Hearing, having authored 177 papers that have together received 9.3k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (29 papers), Statistical Methods and Bayesian Inference (29 papers), Advanced Causal Inference Techniques (26 papers), Optimal Experimental Design Methods (24 papers), Behavioral Health and Interventions (18 papers), Musculoskeletal pain and rehabilitation (16 papers), Smoking Behavior and Cessation (13 papers) and Health Systems, Economic Evaluations, Quality of Life (13 papers). The work is most often cited by research in Applied Psychology (974 citations), Psychiatry and Mental health (1.9k citations), Pharmacology (1.8k citations), Cognitive Neuroscience (1.9k citations) and Statistics and Probability (767 citations). Gerard van Breukelen has collaborated with scholars based in Netherlands, United States and Taiwan. Frequent co-authors include Jelle Jolles, Wim Van der Elst, Martin P.J. van Boxtel, Johan W.S. Vlaeyen, Math J. J. M. Candel, Martijn P. F. Berger, Hein de Vries, Jeroen de Jong, Mario Geilen and Gerjo Kok. Their work appears in journals such as Statistics in Medicine, Statistical Methods in Medical Research, Behaviour Research and Therapy, Health Psychology and Journal of Consulting and Clinical Psychology.

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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