Wim de Leeuw
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- Computer Graphics and Visualization Techniques 10
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- Genomics and Chromatin Dynamics 4
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- Advanced Vision and Imaging 7
- Data Visualization and Analytics 4
- Video Analysis and Summarization 2
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- Antibiotic Resistance in Bacteria 6
- Biophysics top 10%
- Cell Image Analysis Techniques 3
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- Pharmaceutical and Antibiotic Environmental Impacts 3
- Co-authors
- Robert van LiereRoel van DrielPernette J. VerschureSandra GoetzeHinco J. GiermanJulio Mateos‐LangerakAndrew S. BelmontIneke van der Kraan
- Cited by
- Computer Graphics and Computer-Aided DesignMolecular BiologyComputer Vision and Pattern Recognition
- Journals
- iScience (2 papers)Molecular and Cellular Biology (2 papers)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- NetherlandsIndiaUnited States
In The Last Decade
Wim de Leeuw
24 papers receiving 694 citations
Peers
Comparison fields: 5 of 106
- Computer Graphics and Computer-Aided Design 86
- Molecular Biology 479
- Computer Vision and Pattern Recognition 132
- Molecular Medicine 23
- Biophysics 26
Countries citing papers authored by Wim de Leeuw
This map shows the geographic impact of Wim de Leeuw'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 Wim de Leeuw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wim de Leeuw more than expected).
Fields of papers citing papers by Wim de Leeuw
This network shows the impact of papers produced by Wim de Leeuw. 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 Wim de Leeuw. The network helps show where Wim de Leeuw may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wim de Leeuw, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 8 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 31 | |
| 8 | 2009 | 200 | |
| 9 | 2005 | 147 | |
| 10 | 2003 | 1 | |
| 11 | 2003 | 55 | |
| 12 | 2003 | 1 | |
| 13 | 2003 | 5 | |
| 14 | 2002 | 6 | |
| 15 | 2001 | 5 | |
| 16 | 2000 | 11 | |
| 17 | 1999 | 52 | |
| 18 | 1999 | 5 | |
| 19 | 1998 | 11 | |
| 20 | 1998 | 9 |
About Wim de Leeuw
Wim de Leeuw is a scholar working on Computer Graphics and Computer-Aided Design, Molecular Medicine and Biophysics, having authored 24 papers that have together received 716 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (10 papers), Advanced Vision and Imaging (7 papers), Antibiotic Resistance in Bacteria (6 papers), Data Visualization and Analytics (4 papers), Genomics and Chromatin Dynamics (4 papers), Pharmaceutical and Antibiotic Environmental Impacts (3 papers), Cell Image Analysis Techniques (3 papers) and Video Analysis and Summarization (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (86 citations), Molecular Biology (479 citations) and Computer Vision and Pattern Recognition (132 citations). Wim de Leeuw has collaborated with scholars based in Netherlands, India and United States. Frequent co-authors include Robert van Liere, Roel van Driel, Pernette J. Verschure, Sandra Goetze, Hinco J. Gierman, Julio Mateos‐Langerak, Andrew S. Belmont, Ineke van der Kraan, Anne E. Carpenter and Johan van der Vlag. Their work appears in journals such as iScience, Molecular and Cellular Biology, Proceedings of the National Academy of Sciences, International Journal of Molecular Sciences and mBio.
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.