Thomas Provoost
- Biophysics top 1%
- Cell Image Analysis Techniques 2
- Structural Biology top 5%
- Cell Biology top 10%
- Media Technology top 5%
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- Biomedical Text Mining and Ontologies 4
- Genomics and Phylogenetic Studies 4
- Genetics, Bioinformatics, and Biomedical Research 2
- Machine Learning in Bioinformatics 1
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- Game Theory and Applications 3
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- Natural Language Processing Techniques 2
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- Digital Platforms and Economics 2
- Co-authors
- Jean‐Christophe Olivo‐MarínI. PopYoann Le MontagnerNicolas ChenouardThibault LagacheFabrice de ChaumontAlexandre DufourPraveen Pankajakshan
- Partner nations
- BelgiumUnited StatesNetherlands
In The Last Decade
Thomas Provoost
9 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Biophysics 316
- Structural Biology 34
- Cell Biology 178
- Media Technology 85
- Aging 14
Countries citing papers authored by Thomas Provoost
This map shows the geographic impact of Thomas Provoost'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 Thomas Provoost with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Provoost more than expected).
Fields of papers citing papers by Thomas Provoost
This network shows the impact of papers produced by Thomas Provoost. 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 Thomas Provoost. The network helps show where Thomas Provoost may publish in the future.
Co-authorship network
The 16 scholars most cited alongside Thomas Provoost, 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 | 2015 | 1 | |
| 2 | 2015 | 3 | |
| 3 | 2015 | 3 | |
| 4 | Icy: A user-friendly environment for algorithm development and deployment | 2013 | 1 |
| 5 | Detecting Relations in the Gene Regulation Network | 2013 | 6 |
| 6 | Icy: an open bioimage informatics platform for extended reproducible researchbreakdown → | 2012 | 1038 |
| 7 | 2011 | 9 | |
| 8 | 2010 | 24 | |
| 9 | 2008 | 25 |
About Thomas Provoost
Thomas Provoost is a scholar working on Biophysics, Management Science and Operations Research and Strategy and Management, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (4 papers), Genomics and Phylogenetic Studies (4 papers), Game Theory and Applications (3 papers), Natural Language Processing Techniques (2 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Cell Image Analysis Techniques (2 papers), Digital Platforms and Economics (2 papers) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Biophysics (316 citations), Structural Biology (34 citations) and Cell Biology (178 citations). Thomas Provoost has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Jean‐Christophe Olivo‐Marín, I. Pop, Yoann Le Montagner, Nicolas Chenouard, Thibault Lagache, Fabrice de Chaumont, Alexandre Dufour, Praveen Pankajakshan, Nicolas Hervé and Stéphane Dallongeville. Their work appears in journals such as Economics Letters, Nature Methods, BMC Bioinformatics, Communications in computer and information science and European Signal Processing Conference.
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.