Celine Vens
Impact in
- Sensory Systems top 2%
- Olfactory and Sensory Function Studies
- Artificial Intelligence top 1%
- Text and Document Classification Technologies
- Machine Learning and Data Classification
Papers in
-
- Text and Document Classification Technologies 16
- Machine Learning and Data Classification 14
- Bayesian Modeling and Causal Inference 8
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- Machine Learning in Bioinformatics 12
- Bioinformatics and Genomic Networks 10
- Genomics and Phylogenetic Studies 8
- Co-authors
- Sašo Džeroski (14 shared papers)Jan Struyf (8 shared papers)Hendrik Blockeel (23 shared papers)Leander Schietgat (12 shared papers)Dragi Kocev (5 shared papers)Konstantinos Pliakos (16 shared papers)Fabrizio Costa (1 shared paper)Marie‐Noëlle Rosso (2 shared papers)
- Journals
- IEEE Access (4 papers)Machine Learning (4 papers)BMC Bioinformatics (4 papers)Pattern Recognition (3 papers)Bioinformatics (2 papers)
- Partner nations
- BelgiumNetherlandsSlovenia
In The Last Decade
Celine Vens
88 papers receiving 2.3k citations
Celine Vens's Hit Papers
Peers
Comparison fields: 5 of 171
- Sensory Systems 151
- Artificial Intelligence 1.2k
- Computational Theory and Mathematics 306
- Information Systems 417
- Computer Vision and Pattern Recognition 330
Countries citing papers authored by Celine Vens
This map shows the geographic impact of Celine Vens'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 Celine Vens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Celine Vens more than expected).
Fields of papers citing papers by Celine Vens
This network shows the impact of papers produced by Celine Vens. 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 Celine Vens. The network helps show where Celine Vens may publish in the future.
Co-authors
The 25 scholars most cited alongside Celine Vens, 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 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Decision trees for hierarchical multi-label classification Hit paper breakdown → | 2008 | 512 |
| 2 | 2017 | 228 | |
| 3 | 2012 | 213 | |
| 4 | 2010 | 159 | |
| 5 | 2007 | 156 | |
| 6 | 2019 | 94 | |
| 7 | 2011 | 87 | |
| 8 | 2011 | 71 | |
| 9 | 2006 | 66 | |
| 10 | 2020 | 60 | |
| 11 | 2022 | 52 | |
| 12 | 2019 | 43 | |
| 13 | 2016 | 34 | |
| 14 | 2015 | 29 | |
| 15 | 2018 | 26 | |
| 16 | 2021 | 23 | |
| 17 | 2004 | 23 | |
| 18 | 2017 | 22 | |
| 19 | 2020 | 19 | |
| 20 | 2020 | 19 |
About Celine Vens
Celine Vens is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 95 papers that have together received 2.3k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (16 papers), Text and Document Classification Technologies (16 papers), Machine Learning and Data Classification (14 papers), Machine Learning in Bioinformatics (12 papers), Bioinformatics and Genomic Networks (10 papers), Bayesian Modeling and Causal Inference (8 papers), Recommender Systems and Techniques (8 papers) and Genomics and Phylogenetic Studies (8 papers). The work is most often cited by research in Sensory Systems (151 citations), Artificial Intelligence (1.2k citations), Computational Theory and Mathematics (306 citations), Information Systems (417 citations) and Computer Vision and Pattern Recognition (330 citations). Celine Vens has collaborated with scholars based in Belgium, Netherlands and Slovenia. Frequent co-authors include Sašo Džeroski, Jan Struyf, Hendrik Blockeel, Leander Schietgat, Dragi Kocev, Konstantinos Pliakos, Fabrizio Costa, Marie‐Noëlle Rosso, Étienne Danchin and Grigorios Tsoumakas. Their work appears in journals such as IEEE Access, Machine Learning, BMC Bioinformatics, Pattern Recognition and Bioinformatics.
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.