Willem Woertman
- Statistics and Probability top 5%
- Economics and Econometrics top 10%
- General Health Professions
- Cellular and Molecular Neuroscience
- Cardiology and Cardiovascular Medicine
- Co-authors
- Debby L. GerritsenSytse U. ZuidemaMirjam MoerbeekSteven TeerenstraEsther Oomen‐de HoopGert Jan van der WiltHans GroenewoudBaziel G.M. van Engelen
- Topics
- Health Systems, Economic Evaluations, Quality of Life (5 papers)Healthcare Policy and Management (2 papers)Global Health Care Issues (2 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyGeriatrics and Gerontology
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Willem Woertman
10 papers receiving 353 citations
Peers
Comparison fields: 5 of 81
- Statistics and Probability 86
- Economics and Econometrics 81
- General Health Professions 65
- Cellular and Molecular Neuroscience 41
- Cardiology and Cardiovascular Medicine 40
Countries citing papers authored by Willem Woertman
This map shows the geographic impact of Willem Woertman'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 Willem Woertman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Willem Woertman more than expected).
Fields of papers citing papers by Willem Woertman
This network shows the impact of papers produced by Willem Woertman. 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 Willem Woertman. The network helps show where Willem Woertman may publish in the future.
Co-authorship network of co-authors of Willem Woertman
This figure shows the co-authorship network connecting the top 25 collaborators of Willem Woertman. A scholar is included among the top collaborators of Willem Woertman 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 Willem Woertman. Willem Woertman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 85 | |
| 3 | 18 | |
| 4 | 27 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | 197 | |
| 9 | 7 | |
| 10 | 10 |
About Willem Woertman
Willem Woertman is a scholar working on Statistics and Probability, Endocrinology and Economics and Econometrics, having authored 10 papers that have together received 355 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (5 papers), Healthcare Policy and Management (2 papers) and Global Health Care Issues (2 papers). The work is most often cited by research in Statistics and Probability (86 citations), Statistics, Probability and Uncertainty (32 citations) and Geriatrics and Gerontology (12 citations). Willem Woertman has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Debby L. Gerritsen, Sytse U. Zuidema, Mirjam Moerbeek, Steven Teerenstra, Esther Oomen‐de Hoop, Gert Jan van der Wilt, Hans Groenewoud, Baziel G.M. van Engelen, Dick F. Stegeman and Jeffrey Statland. Their work appears in journals such as JAMA, Neurology and Journal of Clinical Epidemiology.
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.