Douwe Postmus

3.4k citations
93 papers · 2.2k · h-index 28

Impact in

Papers in

Douwe Postmus

86 papers receiving 2.2k citations

Peers

Douwe Postmus
Comparison fields: 5 of 155
  • Cardiology and Cardiovascular Medicine 469
  • Nephrology 121
  • Statistics and Probability 114
  • Transplantation 30
  • Endocrinology, Diabetes and Metabolism 181
Replace Peter R. Rijnbeek with:
Peter R. Rijnbeek Netherlands
Gert van Valkenhoef Netherlands
Markus Abt Switzerland
Geraldine Rauch Germany
Andrea Jorgensen United Kingdom
Patrice Degoulet France
Paul Tappenden United Kingdom
Suzette J. Bielinski United States
Claudia Schmoor Germany
Praveen Thokala United Kingdom
Douwe Postmus relative to Peter R. Rijnbeek Netherlands Peter R. Rijnbeek's profile →
Citations per field
00.5×7.5×
Peter R. Rijnbeek · 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 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013135
2 2012112
3 2017107
4 202099
5 201178
6 201274
7 202373
8 201668
9 202164
10 201161
11 201961
12 201559
13 201155
14 201353
15 201353
16 201752
17 201049
18 201246
19 201745
20 201744

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 93 papers that have together received 2.2k 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), Pharmaceutical Economics and Policy (3 papers), Software Engineering Research (3 papers) and Congenital Heart Disease Studies (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (469 citations), Nephrology (121 citations), Statistics and Probability (114 citations), Transplantation (30 citations) and Endocrinology, Diabetes and Metabolism (181 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, Stephan J. L. Bakker, Nalan Baştürk, Tiny Jaarsma and John R. Teerlink. Their work appears in journals such as European Journal of Heart Failure, Value in Health, JACC Heart Failure, Journal of the American College of Cardiology and Information and Software Technology.

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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