Bart Smets
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
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- Fungal and yeast genetics research
- Gene Regulatory Network Analysis
- Sphingolipid Metabolism and Signaling
- Bioinformatics and Genomic Networks
Papers in
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- Advanced Neural Network Applications 5
- Image and Signal Denoising Methods 4
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- Dementia and Cognitive Impairment Research 6
- Co-authors
- Joris Winderickx (7 shared papers)Erwin Swinnen (4 shared papers)Pepijn De Snijder (4 shared papers)Ruben Ghillebert (4 shared papers)Claudio DE VIRGILIO (2 shared papers)Matteo Binda (1 shared paper)Remco Duits (11 shared papers)Karin Thevissen (3 shared papers)
- Journals
- Journal of Mathematical Imaging and Vision (5 papers)Alzheimer s & Dementia (3 papers)Nature Medicine (2 papers)Nature Communications (1 paper)Molecular Biology of the Cell (1 paper)
- Partner nations
- BelgiumNetherlandsUnited States
In The Last Decade
Bart Smets
27 papers receiving 922 citations
Bart Smets's Hit Papers
Peers
Comparison fields: 5 of 80
- Aging 110
- Molecular Biology 432
- Computational Mathematics 4
- Rheumatology 68
- Microbiology 21
Countries citing papers authored by Bart Smets
This map shows the geographic impact of Bart Smets'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 Bart Smets with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bart Smets more than expected).
Fields of papers citing papers by Bart Smets
This network shows the impact of papers produced by Bart Smets. 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 Bart Smets. The network helps show where Bart Smets may publish in the future.
Co-authors
The 25 scholars most cited alongside Bart Smets, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 206 | |
| 2 | 2010 | 182 | |
| 3 | 2006 | 121 | |
| 4 | 2006 | 75 | |
| 5 | 2013 | 60 | |
| 6 | 2011 | 59 | |
| 7 | 2006 | 50 | |
| 8 | The Global Neurodegeneration Proteomics Consortium: biomarker and drug target discovery for common neurodegenerative diseases and aging Hit paper breakdown → | 2025 | 48 |
| 9 | 2008 | 32 | |
| 10 | 2022 | 24 | |
| 11 | 2015 | 10 | |
| 12 | 2023 | 10 | |
| 13 | 2024 | 10 | |
| 14 | 2020 | 8 | |
| 15 | 2024 | 8 | |
| 16 | 2023 | 7 | |
| 17 | 2024 | 7 | |
| 18 | 2021 | 6 | |
| 19 | 2019 | 5 | |
| 20 | 2021 | 3 |
About Bart Smets
Bart Smets is a scholar working on Computer Vision and Pattern Recognition, Psychiatry and Mental health, Spectroscopy, Physiology and Artificial Intelligence, having authored 29 papers that have together received 939 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (6 papers), Alzheimer's disease research and treatments (5 papers), Advanced Neural Network Applications (5 papers), Fungal and yeast genetics research (5 papers), Neural Networks and Applications (5 papers), Image and Signal Denoising Methods (4 papers), Advanced Proteomics Techniques and Applications (4 papers) and Topological and Geometric Data Analysis (2 papers). The work is most often cited by research in Aging (110 citations), Molecular Biology (432 citations), Computational Mathematics (4 citations), Rheumatology (68 citations) and Microbiology (21 citations). Bart Smets has collaborated with scholars based in Belgium, Netherlands and United States. Frequent co-authors include Joris Winderickx, Erwin Swinnen, Pepijn De Snijder, Ruben Ghillebert, Claudio DE VIRGILIO, Matteo Binda, Remco Duits, Karin Thevissen, Johnny Roosen and Valeria Wanke. Their work appears in journals such as Journal of Mathematical Imaging and Vision, Alzheimer s & Dementia, Nature Medicine, Nature Communications and Molecular Biology of the Cell.
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.