Wim de Leeuw

1.1k total citations
24 papers, 716 citations indexed

About

Wim de Leeuw is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Molecular Medicine. According to data from OpenAlex, Wim de Leeuw has authored 24 papers receiving a total of 716 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 10 papers in Computer Graphics and Computer-Aided Design and 6 papers in Molecular Medicine. Recurrent topics in Wim de Leeuw's work include Computer Graphics and Visualization Techniques (10 papers), Advanced Vision and Imaging (7 papers) and Antibiotic Resistance in Bacteria (6 papers). Wim de Leeuw is often cited by papers focused on Computer Graphics and Visualization Techniques (10 papers), Advanced Vision and Imaging (7 papers) and Antibiotic Resistance in Bacteria (6 papers). Wim de Leeuw collaborates with scholars based in Netherlands, India and United States. Wim de Leeuw's co-authors include Robert van Liere, Roel van Driel, Pernette J. Verschure, Hinco J. Gierman, Sandra Goetze, Julio Mateos‐Langerak, Andrew S. Belmont, Johan van der Vlag, Ineke van der Kraan and Anne E. Carpenter and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Molecular and Cellular Biology.

In The Last Decade

Wim de Leeuw

24 papers receiving 694 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wim de Leeuw Netherlands 10 479 132 127 86 85 24 716
Hans J. W. Spoelder Netherlands 7 324 0.7× 67 0.5× 27 0.2× 49 0.6× 51 0.6× 9 577
Didier Arquès France 14 386 0.8× 48 0.4× 39 0.3× 66 0.8× 95 1.1× 50 667
Daming Zhu China 12 191 0.4× 39 0.3× 68 0.5× 9 0.1× 134 1.6× 99 538
Leonid Oliker United States 12 221 0.5× 64 0.5× 208 1.6× 13 0.2× 90 1.1× 28 775
Sayed Mohammad Ebrahim Sahraeian United States 16 464 1.0× 275 2.1× 122 1.0× 12 0.1× 149 1.8× 32 975
Attila Kertész‐Farkas Hungary 13 473 1.0× 65 0.5× 32 0.3× 5 0.1× 84 1.0× 33 787
Kasper Dinkla Netherlands 7 264 0.6× 108 0.8× 89 0.7× 6 0.1× 57 0.7× 11 425
Jamie Waese Canada 9 281 0.6× 129 1.0× 316 2.5× 96 1.1× 30 0.4× 12 576
Ronaldo F. Hashimoto Brazil 14 501 1.0× 88 0.7× 11 0.1× 8 0.1× 33 0.4× 61 689
Karren Yang United States 9 396 0.8× 29 0.2× 230 1.8× 3 0.0× 103 1.2× 19 614

Countries citing papers authored by Wim de Leeuw

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Wim de Leeuw

This figure shows the co-authorship network connecting the top 25 collaborators of Wim de Leeuw. A scholar is included among the top collaborators of Wim de Leeuw 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 Wim de Leeuw. Wim de Leeuw is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Xinyu, et al.. (2025). Driving factors for beta-lactam resistance gene amplification during de novo resistance evolution in E. coli. Antimicrobial Agents and Chemotherapy. 69(9). e0044125–e0044125. 2 indexed citations
2.
Wang, Xinyu, et al.. (2025). Collateral sensitivity and cross-resistance in six species of bacteria exposed to six classes of antibiotics. PubMed Central. 13(8). e0098325–e0098325. 1 indexed citations
3.
Jonker, Martijs J., et al.. (2024). Progression of ampC amplification during de novo amoxicillin resistance development in E. coli. mBio. 16(2). e0298224–e0298224. 1 indexed citations
4.
Jonker, Martijs J., et al.. (2024). The Effect of the Stringent Response and Oxidative Stress Response on Fitness Costs of De Novo Acquisition of Antibiotic Resistance. International Journal of Molecular Sciences. 25(5). 2582–2582. 8 indexed citations
5.
Breit, Timo M., et al.. (2023). Genome sequences of 10 new carnation mottle virus variants. Microbiology Resource Announcements. 12(9). e0018923–e0018923. 1 indexed citations
6.
Leeuw, Wim de, et al.. (2023). How open science can support the 3Rs and improve animal research. SHILAP Revista de lepidopterología. 9. 2 indexed citations
7.
Jonker, Martijs J., et al.. (2023). Reactive oxygen species accelerate de novo acquisition of antibiotic resistance in E. coli. iScience. 26(12). 108373–108373. 31 indexed citations
8.
Mateos‐Langerak, Julio, Manfred Bohn, Wim de Leeuw, et al.. (2009). Spatially confined folding of chromatin in the interphase nucleus. Proceedings of the National Academy of Sciences. 106(10). 3812–3817. 200 indexed citations
9.
Verschure, Pernette J., Ineke van der Kraan, Wim de Leeuw, et al.. (2005). In Vivo HP1 Targeting Causes Large-Scale Chromatin Condensation and Enhanced Histone Lysine Methylation. Molecular and Cellular Biology. 25(11). 4552–4564. 147 indexed citations
10.
Liere, Robert van & Wim de Leeuw. (2003). Graphsplatting: visualizing graphs as continuous fields. IEEE Transactions on Visualization and Computer Graphics. 9(2). 206–212. 55 indexed citations
11.
Leeuw, Wim de & Robert van Liere. (2003). Case study: comparing two methods for filtering external motion in 4D confocal microscopy data. 129–134. 1 indexed citations
12.
Leeuw, Wim de & Robert van Liere. (2003). MCMR: a fluid view on time dependent volume data. 149–156. 1 indexed citations
13.
Leeuw, Wim de & Robert van Liere. (2002). BM3D: motion estimation in time dependent volume data. IEEE Visualization. 427–434. 6 indexed citations
14.
Leeuw, Wim de & Robert van Liere. (2001). Chromatin decondensation: a case study of tracking features in confocal data. IEEE Visualization. 441–444. 5 indexed citations
15.
Leeuw, Wim de & Robert van Liere. (2000). Multi-level topology for flow visualization. Computers & Graphics. 24(3). 325–331. 11 indexed citations
16.
Leeuw, Wim de & Robert van Liere. (1999). Collapsing flow topology using area metrics. IEEE Visualization. 349–354. 52 indexed citations
17.
Liere, Robert van & Wim de Leeuw. (1999). Exploration of large image collections using virtual reality devices. 83–86. 5 indexed citations
18.
Leeuw, Wim de & Robert van Liere. (1998). Comparing LIC and spot noise. IEEE Visualization. 359–365. 11 indexed citations
19.
Liere, Robert van, Jan Harkes, & Wim de Leeuw. (1998). A distributed blackboard architecture for interactive data visualization. 225–231. 9 indexed citations
20.
Leeuw, Wim de & Robert van Liere. (1997). Spotting Structure in Complex Time Dependent Flow. 47–47. 14 indexed citations

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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