Raphaël Marée
Impact in
- Biophysics top 1%
- Cell Image Analysis Techniques
- Oral Surgery top 5%
- Dental Radiography and Imaging
Papers in
- Biophysics 17
- Cell Image Analysis Techniques 17
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- Image Retrieval and Classification Techniques 16
- Advanced Image and Video Retrieval Techniques 11
- Digital Imaging for Blood Diseases 9
- Co-authors
- Pierre Geurts (35 shared papers)Louis A. Wehenkel (36 shared papers)Justus Piater (6 shared papers)Rémy Vandaele (6 shared papers)Marc Müller (8 shared papers)Benjamin H. Stevens (5 shared papers)Marianne Fillet (6 shared papers)Dominique de Seny (4 shared papers)
- Journals
- PLoS ONE (2 papers)Patterns (1 paper)Acta Cytologica (1 paper)Advances in computer vision and pattern recognition (1 paper)Bioinformatics (1 paper)
- Partner nations
- BelgiumFranceNetherlands
In The Last Decade
Raphaël Marée
71 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 160
- Biophysics 250
- Oral Surgery 148
- Health Informatics 32
- Computer Vision and Pattern Recognition 474
- Physiology 68
Countries citing papers authored by Raphaël Marée
This map shows the geographic impact of Raphaël Marée'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 Raphaël Marée with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphaël Marée more than expected).
Fields of papers citing papers by Raphaël Marée
This network shows the impact of papers produced by Raphaël Marée. 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 Raphaël Marée. The network helps show where Raphaël Marée may publish in the future.
Co-authors
The 25 scholars most cited alongside Raphaël Marée, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 188 | |
| 2 | 2015 | 175 | |
| 3 | 2016 | 146 | |
| 4 | 2007 | 93 | |
| 5 | 2009 | 90 | |
| 6 | 2017 | 88 | |
| 7 | 2018 | 84 | |
| 8 | 2008 | 82 | |
| 9 | 2015 | 80 | |
| 10 | 2013 | 72 | |
| 11 | 2008 | 65 | |
| 12 | 2007 | 59 | |
| 13 | 2007 | 50 | |
| 14 | 2015 | 49 | |
| 15 | 2011 | 40 | |
| 16 | 2009 | 39 | |
| 17 | 2016 | 37 | |
| 18 | 2018 | 35 | |
| 19 | 2011 | 35 | |
| 20 | 2020 | 29 |
About Raphaël Marée
Raphaël Marée is a scholar working on Biophysics, Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology and Molecular Biology, having authored 73 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (17 papers), Image Retrieval and Classification Techniques (16 papers), Advanced Image and Video Retrieval Techniques (11 papers), Digital Imaging for Blood Diseases (9 papers), AI in cancer detection (9 papers), Domain Adaptation and Few-Shot Learning (4 papers), Genetics, Bioinformatics, and Biomedical Research (4 papers) and Zebrafish Biomedical Research Applications (4 papers). The work is most often cited by research in Biophysics (250 citations), Oral Surgery (148 citations), Health Informatics (32 citations), Computer Vision and Pattern Recognition (474 citations) and Physiology (68 citations). Raphaël Marée has collaborated with scholars based in Belgium, France and Netherlands. Frequent co-authors include Pierre Geurts, Louis A. Wehenkel, Justus Piater, Rémy Vandaele, Marc Müller, Benjamin H. Stevens, Marianne Fillet, Dominique de Seny, Marie‐Paule Merville and Marie‐Alice Meuwis. Their work appears in journals such as PLoS ONE, Patterns, Acta Cytologica, Advances in computer vision and 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.