Thomas Provoost

1.7k total citations · 1 hit paper
9 papers, 1.1k citations indexed

About

Thomas Provoost is a scholar working on Molecular Biology, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Thomas Provoost has authored 9 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Artificial Intelligence and 3 papers in Management Science and Operations Research. Recurrent topics in Thomas Provoost's work include Biomedical Text Mining and Ontologies (4 papers), Genomics and Phylogenetic Studies (4 papers) and Game Theory and Applications (3 papers). Thomas Provoost is often cited by papers focused on Biomedical Text Mining and Ontologies (4 papers), Genomics and Phylogenetic Studies (4 papers) and Game Theory and Applications (3 papers). Thomas Provoost collaborates with scholars based in Belgium, United States and France. Thomas Provoost's co-authors include I. Pop, Thibault Lagache, Fabrice de Chaumont, Stéphane Dallongeville, Nicolas Hervé, Alexandre Dufour, Thierry Lecomte, Yoann Le Montagner, Praveen Pankajakshan and Vannary Meas‐Yedid and has published in prestigious journals such as Nature Methods, BMC Bioinformatics and Economics Letters.

In The Last Decade

Thomas Provoost

9 papers receiving 1.1k citations

Hit Papers

Icy: an open bioimage informatics platform for extended r... 2012 2026 2016 2021 2012 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Provoost Belgium 5 475 316 178 92 91 9 1.1k
Nicolas Hervé France 9 473 1.0× 321 1.0× 178 1.0× 93 1.0× 93 1.0× 17 1.2k
Praveen Pankajakshan France 8 472 1.0× 355 1.1× 178 1.0× 132 1.4× 91 1.0× 19 1.2k
Yoann Le Montagner France 5 477 1.0× 350 1.1× 181 1.0× 139 1.5× 91 1.0× 7 1.2k
Adam Fraser United States 5 586 1.2× 400 1.3× 132 0.7× 105 1.1× 68 0.7× 6 1.1k
Emma Hill United States 8 501 1.1× 322 1.0× 126 0.7× 73 0.8× 86 0.9× 14 1.1k
Mike Rossner United States 10 556 1.2× 355 1.1× 128 0.7× 82 0.9× 199 2.2× 21 1.5k
Vasiliy S. Chernyshev Russia 13 1.0k 2.1× 424 1.3× 173 1.0× 365 4.0× 61 0.7× 38 1.8k
George W. Ashdown United Kingdom 13 257 0.5× 345 1.1× 79 0.4× 136 1.5× 32 0.4× 17 743
Alison O’Neil United States 13 507 1.1× 272 0.9× 66 0.4× 202 2.2× 56 0.6× 22 1.1k
Graham Wright Singapore 23 968 2.0× 174 0.6× 331 1.9× 228 2.5× 56 0.6× 79 1.8k

Countries citing papers authored by Thomas Provoost

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Thomas Provoost

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

All Works

9 of 9 papers shown
1.
Provoost, Thomas & Marie‐Francine Moens. (2015). Semi-supervised Learning for the BioNLP Gene Regulation Network. BMC Bioinformatics. 16(S10). S4–S4. 3 indexed citations
2.
Kordjamshidi, Parisa, et al.. (2015). Machine Reading for Extraction of Bacteria and Habitat Taxonomies. Communications in computer and information science. 574. 239–255. 1 indexed citations
3.
Kordjamshidi, Parisa, et al.. (2015). Machine Reading of Biological Texts - Bacteria-Biotope Extraction. 55–64. 3 indexed citations
4.
Provoost, Thomas & Marie‐Francine Moens. (2013). Detecting Relations in the Gene Regulation Network. Lirias (KU Leuven). 135–138. 6 indexed citations
5.
Chaumont, Fabrice de, Stéphane Dallongeville, Thomas Provoost, et al.. (2013). Icy: A user-friendly environment for algorithm development and deployment. European Signal Processing Conference. 1–5. 1 indexed citations
6.
Chaumont, Fabrice de, Stéphane Dallongeville, Nicolas Chenouard, et al.. (2012). Icy: an open bioimage informatics platform for extended reproducible research. Nature Methods. 9(7). 690–696. 1038 indexed citations breakdown →
7.
Bouckaert, Jan, Hans Degryse, & Thomas Provoost. (2011). Enhancing market power by reducing switching costs. Economics Letters. 114(3). 359–361. 9 indexed citations
8.
Bouckaert, Jan, Hans Degryse, & Thomas Provoost. (2010). Enhancing market power by reducing switching costs. Economics Letters. 109(2). 131–133. 24 indexed citations
9.
Bouckaert, Jan, Hans Degryse, & Thomas Provoost. (2008). Enhancing Market Power by Reducing Switching Costs. SSRN Electronic Journal. 25 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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