Douwe Postmus

3.4k citations
95 papers · 2.3k · h-index 28

Impact in

Papers in

Douwe Postmus

88 papers receiving 2.2k citations

Peers

Douwe Postmus
Comparison fields: 5 of 157
  • Cardiology and Cardiovascular Medicine 477
  • Nephrology 124
  • Statistics and Probability 123
  • Transplantation 31
  • Endocrinology, Diabetes and Metabolism 183
Replace Gert van Valkenhoef with:
Gert van Valkenhoef Netherlands
Geraldine Rauch Germany
Peter R. Rijnbeek Netherlands
Markus Abt Switzerland
Patrice Degoulet France
Andrea Jorgensen United Kingdom
Suzette J. Bielinski United States
Claudia Schmoor Germany
Praveen Thokala United Kingdom
Abel Kho United States
Douwe Postmus relative to Gert van Valkenhoef Netherlands Gert van Valkenhoef's profile →
Citations per field
00.5×2×4×6.2×
Gert van Valkenhoef · 1×
Citations per year

Countries citing papers authored by Douwe Postmus

Since Specialization
Citations

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

Fields of papers citing papers by Douwe Postmus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Douwe Postmus. 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 Douwe Postmus. The network helps show where Douwe Postmus may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013140
2 2012123
3 2017108
4 202099
5 201185
6 201275
7 202373
8 201671
9 202164
10 201562
11 201162
12 201961
13 201158
14 201755
15 201353
16 201353
17 201049
18 201248
19 201745
20 201745

About Douwe Postmus

Douwe Postmus is a scholar working on Economics and Econometrics, Statistics and Probability, Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health and Pulmonary and Respiratory Medicine, having authored 95 papers that have together received 2.3k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (20 papers), Statistical Methods in Clinical Trials (11 papers), Heart Failure Treatment and Management (8 papers), Advanced Causal Inference Techniques (6 papers), Diabetes Treatment and Management (4 papers), Software Engineering Research (4 papers), Pharmaceutical Economics and Policy (3 papers) and Bayesian Modeling and Causal Inference (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (477 citations), Nephrology (124 citations), Statistics and Probability (123 citations), Transplantation (31 citations) and Endocrinology, Diabetes and Metabolism (183 citations). Douwe Postmus has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Hans L. Hillege, Tommi Tervonen, Gert van Valkenhoef, Erik Buskens, Adriaan A. Voors, Dirk J. van Veldhuisen, Nalan Baştürk, Stephan J. L. Bakker, Tiny Jaarsma and Gad Cotter. Their work appears in journals such as European Journal of Heart Failure, Value in Health, Information and Software Technology, Clinical Pharmacology & Therapeutics and Journal of the American College of Cardiology.

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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