Iwin Leenen
Impact in
- Computational Mathematics top 5%
- Tensor decomposition and applications
- Family Practice top 10%
Papers in
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- Primary Care and Health Outcomes 3
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- Bayesian Modeling and Causal Inference 8
- Co-authors
- Iven Van Mechelen (11 shared papers)Vicente Ponsoda (4 shared papers)Pedro M. Hontangas (4 shared papers)Daniel Morillo (4 shared papers)Francisco J. Abad (4 shared papers)Martha Givaudan (5 shared papers)Eva Ceulemans (3 shared papers)Susan Pick (5 shared papers)
In The Last Decade
Iwin Leenen
46 papers receiving 510 citations
Peers
Comparison fields: 5 of 102
- Computational Mathematics 40
- Family Practice 23
- Applied Psychology 35
- Management Science and Operations Research 80
- General Decision Sciences 9
Countries citing papers authored by Iwin Leenen
This map shows the geographic impact of Iwin Leenen'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 Iwin Leenen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iwin Leenen more than expected).
Fields of papers citing papers by Iwin Leenen
This network shows the impact of papers produced by Iwin Leenen. 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 Iwin Leenen. The network helps show where Iwin Leenen may publish in the future.
Co-authors
The 25 scholars most cited alongside Iwin Leenen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 57 | |
| 2 | 2007 | 48 | |
| 3 | 2016 | 43 | |
| 4 | 1999 | 35 | |
| 5 | 2019 | 31 | |
| 6 | 2003 | 29 | |
| 7 | 2007 | 28 | |
| 8 | 2015 | 24 | |
| 9 | 2001 | 21 | |
| 10 | «Yo quiero, yo puedo…prevenir la violencia»: Programa breve de sensibilización sobre violencia en el noviazgo | 2010 | 19 |
| 11 | 2007 | 18 | |
| 12 | 2022 | 12 | |
| 13 | 2016 | 12 | |
| 14 | 2014 | 12 | |
| 15 | 2016 | 11 | |
| 16 | 2008 | 9 | |
| 17 | 2014 | 9 | |
| 18 | 2017 | 9 | |
| 19 | 2001 | 9 | |
| 20 | 2009 | 8 |
About Iwin Leenen
Iwin Leenen is a scholar working on General Health Professions, Artificial Intelligence, Public Health, Environmental and Occupational Health, Family Practice and Management Science and Operations Research, having authored 49 papers that have together received 545 indexed citations. Recurring topics across this work include Innovations in Medical Education (9 papers), Bayesian Modeling and Causal Inference (8 papers), Clinical Reasoning and Diagnostic Skills (7 papers), Psychometric Methodologies and Testing (5 papers), Primary Care and Health Outcomes (3 papers), Multi-Criteria Decision Making (3 papers), Tensor decomposition and applications (3 papers) and Statistical Methods and Bayesian Inference (3 papers). The work is most often cited by research in Computational Mathematics (40 citations), Family Practice (23 citations), Applied Psychology (35 citations), Management Science and Operations Research (80 citations) and General Decision Sciences (9 citations). Iwin Leenen has collaborated with scholars based in Mexico, Belgium and Spain. Frequent co-authors include Iven Van Mechelen, Vicente Ponsoda, Pedro M. Hontangas, Daniel Morillo, Francisco J. Abad, Martha Givaudan, Eva Ceulemans, Susan Pick, Jimmy de la Torre and Paul De Boeck. Their work appears in journals such as Psychometrika, Applied Psychological Measurement, Journal of Classification, Frontiers in Human Neuroscience and Journal of Applied Social 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.