Wim Van Hecke
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Cognitive Neuroscience top 2%
- Pulmonary and Respiratory Medicine top 5%
- Genetics top 1%
- Psychiatry and Mental health top 2%
- Co-authors
- Stefan SunaertJan SijbersAlexander LeemansPaul M. ParizelJelle VeraartRonald PeetersLouise EmsellSabine Deprez
- Topics
- Advanced Neuroimaging Techniques and Applications (45 papers)Multiple Sclerosis Research Studies (19 papers)Advanced MRI Techniques and Applications (13 papers)
- Partner nations
- BelgiumNetherlandsUnited Kingdom
In The Last Decade
Wim Van Hecke
96 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 139
- Radiology, Nuclear Medicine and Imaging 2.0k
- Cognitive Neuroscience 798
- Pulmonary and Respiratory Medicine 670
- Genetics 666
- Psychiatry and Mental health 646
Countries citing papers authored by Wim Van Hecke
This map shows the geographic impact of Wim Van Hecke'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 Van Hecke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wim Van Hecke more than expected).
Fields of papers citing papers by Wim Van Hecke
This network shows the impact of papers produced by Wim Van Hecke. 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 Van Hecke. The network helps show where Wim Van Hecke may publish in the future.
Co-authorship network of co-authors of Wim Van Hecke
This figure shows the co-authorship network connecting the top 25 collaborators of Wim Van Hecke. A scholar is included among the top collaborators of Wim Van Hecke 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 Van Hecke. Wim Van Hecke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 6 | |
| 3 | 17 | |
| 4 | 3 | |
| 5 | 42 | |
| 6 | 26 | |
| 7 | 24 | |
| 8 | Automatic multiple sclerosis brain lesion localization and volumetry | 13 |
| 9 | 25 | |
| 10 | 12 | |
| 11 | 8 | |
| 12 | 24 | |
| 13 | 44 | |
| 14 | 298 | |
| 15 | 0 | |
| 16 | 10 | |
| 17 | 134 | |
| 18 | 223 | |
| 19 | 77 | |
| 20 | 89 |
About Wim Van Hecke
Wim Van Hecke is a scholar working on Computational Mathematics, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 102 papers that have together received 4.1k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (45 papers), Multiple Sclerosis Research Studies (19 papers) and Advanced MRI Techniques and Applications (13 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.0k citations), Computational Mathematics (49 citations) and Genetics (666 citations). Wim Van Hecke has collaborated with scholars based in Belgium, Netherlands and United Kingdom. Frequent co-authors include Stefan Sunaert, Jan Sijbers, Alexander Leemans, Paul M. Parizel, Jelle Veraart, Ronald Peeters, Louise Emsell, Sabine Deprez, Judith Verhoeven and Ann Smeets. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and NeuroImage.
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.