Olivier Debeir
- Molecular Biology top 10%
- Biophysics top 0.5%
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 1%
- Artificial Intelligence top 5%
- Co-authors
- Christine DecaesteckerRóbert KissPhilippe Van HamÉléonore WolffPolina LemenkovaAlexandre CarleerTatjana MijatovicP. Van Ham
- Topics
- Cell Image Analysis Techniques (27 papers)AI in cancer detection (17 papers)Advanced Vision and Imaging (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- BelgiumFranceUnited States
In The Last Decade
Olivier Debeir
110 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 168
- Molecular Biology 874
- Biophysics 462
- Computer Vision and Pattern Recognition 426
- Media Technology 401
- Artificial Intelligence 292
Countries citing papers authored by Olivier Debeir
This map shows the geographic impact of Olivier Debeir'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 Olivier Debeir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olivier Debeir more than expected).
Fields of papers citing papers by Olivier Debeir
This network shows the impact of papers produced by Olivier Debeir. 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 Olivier Debeir. The network helps show where Olivier Debeir may publish in the future.
Co-authorship network of co-authors of Olivier Debeir
This figure shows the co-authorship network connecting the top 25 collaborators of Olivier Debeir. A scholar is included among the top collaborators of Olivier Debeir 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 Olivier Debeir. Olivier Debeir is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 10 | |
| 3 | 10 | |
| 4 | 14 | |
| 5 | 25 | |
| 6 | 6 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 9 | |
| 10 | Deep-shift phase contrast cell detection and tracking | 1 |
| 11 | 1 | |
| 12 | 31 | |
| 13 | 77 | |
| 14 | Detecting man-made structure changes to assist geographic data producers in planning their update strategy | 7 |
| 15 | 23 | |
| 16 | 25 | |
| 17 | 140 | |
| 18 | 39 | |
| 19 | Numérisation 3D de la grotte d'El Castillo (Puente Viesgo) | 2 |
| 20 | 41 |
About Olivier Debeir
Olivier Debeir is a scholar working on Biophysics, Health Informatics and Computer Vision and Pattern Recognition, having authored 118 papers that have together received 2.9k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (27 papers), AI in cancer detection (17 papers) and Advanced Vision and Imaging (8 papers). The work is most often cited by research in Biophysics (462 citations), Media Technology (401 citations) and Computer Vision and Pattern Recognition (426 citations). Olivier Debeir has collaborated with scholars based in Belgium, France and United States. Frequent co-authors include Christine Decaestecker, Róbert Kiss, Philippe Van Ham, Éléonore Wolff, Polina Lemenkova, Alexandre Carleer, Tatjana Mijatovic, P. Van Ham, Isabelle Salmon and Francis Darro. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.