Raphaël Marée

2.6k total citations
68 papers, 1.8k citations indexed

About

Raphaël Marée is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Raphaël Marée has authored 68 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 18 papers in Molecular Biology and 16 papers in Artificial Intelligence. Recurrent topics in Raphaël Marée's work include Cell Image Analysis Techniques (14 papers), Image Retrieval and Classification Techniques (12 papers) and AI in cancer detection (10 papers). Raphaël Marée is often cited by papers focused on Cell Image Analysis Techniques (14 papers), Image Retrieval and Classification Techniques (12 papers) and AI in cancer detection (10 papers). Raphaël Marée collaborates with scholars based in Belgium, France and Netherlands. Raphaël Marée's co-authors include Pierre Geurts, Louis Wehenkel, Justus Piater, Rémy Vandaele, Marc Müller, Marianne Fillet, Benjamin H. Stevens, Marie‐Paule Merville, Dominique de Seny and Marie‐Alice Meuwis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and The Journal of Immunology.

In The Last Decade

Raphaël Marée

65 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raphaël Marée Belgium 24 470 353 319 220 155 68 1.8k
Daisuke Komura Japan 18 434 0.9× 231 0.7× 510 1.6× 118 0.5× 402 2.6× 63 1.5k
Arkadiusz Gertych United States 28 250 0.5× 474 1.3× 795 2.5× 128 0.6× 741 4.8× 75 3.2k
Arnout Ruifrok Netherlands 21 791 1.7× 502 1.4× 623 2.0× 342 1.6× 582 3.8× 48 3.2k
Cheng Lu China 33 744 1.6× 1.2k 3.4× 980 3.1× 278 1.3× 817 5.3× 197 3.8k
Shu Wang China 26 519 1.1× 226 0.6× 345 1.1× 58 0.3× 405 2.6× 182 2.3k
Xiangning Wang China 14 231 0.5× 150 0.4× 127 0.4× 70 0.3× 444 2.9× 58 1.4k
Lisheng Wang China 24 952 2.0× 279 0.8× 216 0.7× 20 0.1× 673 4.3× 139 2.6k
Ching‐Wei Wang Taiwan 23 143 0.3× 333 0.9× 567 1.8× 167 0.8× 402 2.6× 82 1.8k
Yi Gao China 21 301 0.6× 626 1.8× 845 2.6× 167 0.8× 764 4.9× 109 2.1k
Haofan Wang China 19 298 0.6× 327 0.9× 423 1.3× 37 0.2× 175 1.1× 53 1.6k

Countries citing papers authored by Raphaël Marée

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Raphaël Marée

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

All Works

20 of 20 papers shown
1.
Lejeune, Christophe, et al.. (2024). On designing Shareish, an open-source, map-based, web platform to facilitate diverse solidarity practices. Human Technology. 20(2). 285–324.
2.
Paavolainen, Lassi, Volker Bäcker, Benjamin Pavie, et al.. (2020). BIAFLOWS: A Collaborative Framework to Reproducibly Deploy and Benchmark Bioimage Analysis Workflows. Patterns. 1(3). 100040–100040. 21 indexed citations
3.
Rocks, Natacha, Céline Vanwinge, Coraline Radermecker, et al.. (2019). Ozone-primed neutrophils promote early steps of tumour cell metastasis to lungs by enhancing their NET production. Thorax. 74(8). 768–779. 25 indexed citations
4.
Vandaele, Rémy, Marc Müller, Frédérique Peronnet, et al.. (2018). Landmark detection in 2D bioimages for geometric morphometrics: a multi-resolution tree-based approach. Scientific Reports. 8(1). 538–538. 31 indexed citations
5.
Bekaert, Sandrine, Marianne Fillet, B. Detry, et al.. (2017). Inflammation-Generated Extracellular Matrix Fragments Drive Lung Metastasis. PubMed. 10. 999564761–999564761. 17 indexed citations
6.
Marée, Raphaël. (2017). The Need for Careful Data Collection for Pattern Recognition in Digital Pathology. Journal of Pathology Informatics. 8(1). 19–19. 20 indexed citations
7.
Bogie, Jeroen F. J., Stylianos Ravanidis, Pascal Gervois, et al.. (2017). Human Wharton's Jelly-Derived Stem Cells Display a Distinct Immunomodulatory and Proregenerative Transcriptional Signature Compared to Bone Marrow-Derived Stem Cells. Stem Cells and Development. 27(2). 65–84. 83 indexed citations
8.
Marée, Raphaël, et al.. (2015). Phenotype Classification of Zebrafish Embryos by Supervised Learning. PLoS ONE. 10(1). e0116989–e0116989. 43 indexed citations
9.
Vandaele, Rémy, Raphaël Marée, Sébastien Jodogne, & Pierre Geurts. (2014). Automatic Cephalometric X-Ray Landmark Detection Challenge 2014: A tree-based algorithm. Open Repository and Bibliography (University of Liège). 9 indexed citations
10.
11.
Mikut, Ralf, Thomas Dickmeis, Wolfgang Driever, et al.. (2013). Automated Processing of Zebrafish Imaging Data: A Survey. Zebrafish. 10(3). 401–421. 64 indexed citations
12.
Rocks, Natacha, Sandrine Bekaert, Raphaël Marée, et al.. (2013). Roles of polarized neutrophils on lung tumour development in an orthotopic lung tumour mouse model. European Respiratory Journal. 42(Suppl 57). P3117–P3117. 1 indexed citations
13.
Marée, Raphaël, et al.. (2010). Zebrafish as model in toxicology/pharmacology.. Open Repository and Bibliography (University of Liège). 2 indexed citations
14.
Marée, Raphaël, et al.. (2009). An Extra-trees-based Automatic Target Recognition Algorithm. Open Repository and Bibliography (University of Liège). 2 indexed citations
15.
Meuwis, Marie‐Alice, Marianne Fillet, Laurence Lutteri, et al.. (2008). Proteomics for prediction and characterization of response to infliximab in Crohn's disease: A pilot study. Clinical Biochemistry. 41(12). 960–967. 63 indexed citations
16.
Marée, Raphaël, Marie Dumont, Pierre Geurts, & Louis Wehenkel. (2007). Random Subwindows and Randomized Trees for Image Retrieval, Classification, and Annotation. Open Repository and Bibliography (University of Liège). 4 indexed citations
17.
Marée, Raphaël, Pierre Geurts, & Louis Wehenkel. (2007). Random subwindows and extremely randomized trees for image classification in cell biology. BMC Cell Biology. 8(S1). S2–S2. 46 indexed citations
18.
Guéders, Maud, Pascal Bertholet, Natacha Rocks, et al.. (2007). A novel formulation of inhaled doxycycline reduces allergen-induced inflammation, hyperresponsiveness and remodeling by matrix metalloproteinases and cytokines modulation in a mouse model of asthma. Biochemical Pharmacology. 75(2). 514–526. 53 indexed citations
19.
Marée, Raphaël, Pierre Geurts, Justus Piater, & Louis Wehenkel. (2005). Decision trees and random subwindows for object recognition. Open Repository and Bibliography (University of Liège). 13 indexed citations
20.
Marée, Raphaël, et al.. (2004). A Generic Approach For Image Classification Based On Decision Tree Ensembles And Local Sub-Windows. Open Repository and Bibliography (University of Liège). 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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