Dirk Smeets
Impact in
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- Face recognition and analysis
- Face and Expression Recognition
- Medical Image Segmentation Techniques
- Advanced Image and Video Retrieval Techniques
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- Multiple Sclerosis Research Studies
Papers in
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- Face recognition and analysis 9
- Face and Expression Recognition 9
- Medical Image Segmentation Techniques 8
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- Advanced Neuroimaging Techniques and Applications 10
- Advanced MRI Techniques and Applications 7
- Radiomics and Machine Learning in Medical Imaging 5
- Co-authors
- Dirk VandermeulenPaul SuetensDiana M. SimaJohannes KeustermansJeroen HermansWim Van HeckeSaurabh JainPeter Claes
- Journals
- NeuroImage Clinical (7 papers)Alzheimer s & Dementia (3 papers)Multiple Sclerosis Journal (3 papers)Neurology (2 papers)Journal of Applied Physics (2 papers)
- Partner nations
- BelgiumUnited KingdomUnited States
In The Last Decade
Dirk Smeets
65 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 131
- Computer Vision and Pattern Recognition 609
- Pathology and Forensic Medicine 292
- Radiology, Nuclear Medicine and Imaging 364
- Neurology 126
- Health Informatics 13
Countries citing papers authored by Dirk Smeets
This map shows the geographic impact of Dirk Smeets'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 Dirk Smeets with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dirk Smeets more than expected).
Fields of papers citing papers by Dirk Smeets
This network shows the impact of papers produced by Dirk Smeets. 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 Dirk Smeets. The network helps show where Dirk Smeets may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dirk Smeets, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 9 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 4 | |
| 8 | 2022 | 7 | |
| 9 | 2022 | 5 | |
| 10 | 2021 | 17 | |
| 11 | 2021 | 6 | |
| 12 | 2019 | 1 | |
| 13 | 2018 | 76 | |
| 14 | 2017 | 43 | |
| 15 | 2017 | 30 | |
| 16 | 2016 | 13 | |
| 17 | MSmetrix: accurate untrained method for longitudinal lesion segmentation | 2015 | 1 |
| 18 | Automatic multiple sclerosis brain lesion localization and volumetry | 2014 | 13 |
| 19 | 2011 | 32 | |
| 20 | 2009 | 94 |
About Dirk Smeets
Dirk Smeets is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Health Informatics and Neurology, having authored 69 papers that have together received 1.5k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (17 papers), Advanced Neuroimaging Techniques and Applications (10 papers), Face recognition and analysis (9 papers), Face and Expression Recognition (9 papers), Functional Brain Connectivity Studies (9 papers), Medical Image Segmentation Techniques (8 papers), Advanced MRI Techniques and Applications (7 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (609 citations), Pathology and Forensic Medicine (292 citations), Radiology, Nuclear Medicine and Imaging (364 citations), Neurology (126 citations) and Health Informatics (13 citations). Dirk Smeets has collaborated with scholars based in Belgium, United Kingdom and United States. Frequent co-authors include Dirk Vandermeulen, Paul Suetens, Diana M. Sima, Johannes Keustermans, Jeroen Hermans, Wim Van Hecke, Saurabh Jain, Peter Claes, Annemie Ribbens and Frederik Maes. Their work appears in journals such as NeuroImage Clinical, Alzheimer s & Dementia, Multiple Sclerosis Journal, Neurology and Journal of Applied Physics.
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.