Xavier Descombes

4.0k total citations
149 papers, 2.6k citations indexed

About

Xavier Descombes is a scholar working on Environmental Engineering, Computer Vision and Pattern Recognition and Ocean Engineering. According to data from OpenAlex, Xavier Descombes has authored 149 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Environmental Engineering, 38 papers in Computer Vision and Pattern Recognition and 35 papers in Ocean Engineering. Recurrent topics in Xavier Descombes's work include Remote Sensing and LiDAR Applications (50 papers), Automated Road and Building Extraction (33 papers) and Remote-Sensing Image Classification (28 papers). Xavier Descombes is often cited by papers focused on Remote Sensing and LiDAR Applications (50 papers), Automated Road and Building Extraction (33 papers) and Remote-Sensing Image Classification (28 papers). Xavier Descombes collaborates with scholars based in France, Germany and Russia. Xavier Descombes's co-authors include Josiane Zerubia, Florent Lafarge, Frithjof Kruggel, François Pierrot, Mathias Ortner, Radu S. Stoica, Csaba Benedek, Guillaume Perrin, Caroline Lacoste and D. Yves von Cramon and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and NeuroImage.

In The Last Decade

Xavier Descombes

138 papers receiving 2.4k citations

Peers

Xavier Descombes

CVPR

ECOLO

Rongjun Qin United States

David H. Douglas Canada

Bertrand Le Saux Italy

Jens Leitloff Germany

Henri Maı̂tre France

Wei Yao China

Helmut Mayer Germany

Olaf Hellwich Germany

Shijie Liu China

Zhengxin Zhang China

Rongjun Qin United States

Xavier Descombes

1.1k ×1.2

738 ×0.9

CVPR

507 ×0.9

752 ×1.4

588 ×1.6

ECOLO

Citations per year, relative to Xavier Descombes Xavier Descombes (= 1×) peers Rongjun Qin

Countries citing papers authored by Xavier Descombes

Since Specialization

Citations

This map shows the geographic impact of Xavier Descombes'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 Xavier Descombes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xavier Descombes more than expected).

Fields of papers citing papers by Xavier Descombes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xavier Descombes. 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 Xavier Descombes. The network helps show where Xavier Descombes may publish in the future.

Co-authorship network of co-authors of Xavier Descombes

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

All Works

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20 of 20 papers shown

Abélanet, Sophie, J. Daniel Dubreuil, Zhou Zhu, et al.. (2025). Human mammary 3D spheroid models uncover the role of filopodia in breaching the basement membrane to facilitate invasion. Matrix Biology. 143. 36–47.

Meghraoui, Aïda, Luciana Petti, Patrice Hémon, et al.. (2025). CD206+CD14− Skin-Resident Macrophages and DC–T Cell Clusters Are Spatial Features Characterizing Nonrelapsing Cutaneous Squamous Cell Carcinoma. Cancer Immunology Research. 13(12). 1925–1937. 1 indexed citations

Graeve, Fabienne De, Éric Debreuve, Djampa Kozlowski, et al.. (2024). An image-based RNAi screen identifies the EGFR signaling pathway as a regulator of Imp RNP granules. Journal of Cell Science. 137(23).

Obberghen‐Schilling, Ellen Van, et al.. (2023). A spatial statistical framework for the parametric study of fiber networks: Application to fibronectin deposition by normal and activated fibroblasts. SHILAP Revista de lepidopterología. 3. e25–e25. 1 indexed citations

Stamatas, Georgios N., et al.. (2023). Age‐dependent changes in epidermal architecture explored using an automated image analysis algorithm on in vivo reflectance confocal microscopy images. Skin Research and Technology. 29(5). e13343–e13343. 2 indexed citations

Descombes, Xavier, et al.. (2023). Improving CNNs classification with pathologist-based expertise: the renal cell carcinoma case study. Scientific Reports. 13(1). 15887–15887. 4 indexed citations

Graeve, Fabienne De, Éric Debreuve, Szilvia Ecsedi, et al.. (2019). Detecting and quantifying stress granules in tissues of multicellular organisms with the Obj.MPP analysis tool. Traffic. 20(9). 697–711. 10 indexed citations

Médioni, Caroline, et al.. (2018). A stochastic framework to model axon interactions within growing neuronal populations. PLoS Computational Biology. 14(12). e1006627–e1006627. 6 indexed citations

Cariou, Pierre, Xavier Descombes, & Е. Г. Жижина. (2010). A Point Process for Fully Automatic Road Network Detection in Satellite and Aerial Images. Problems of Information Transmission. 10(3). 247–256. 2 indexed citations

10.

Jermyn, Ian H., et al.. (2010). A marked point process model with strong prior shape information for extraction of multiple, arbitrarily-shaped objects. Graphical Models. 1 indexed citations

11.

Lafarge, Florent, Georgy Gimel’farb, & Xavier Descombes. (2009). Geometric Feature Extraction by a Multimarked Point Process. IEEE Transactions on Pattern Analysis and Machine Intelligence. 32(9). 1597–1609. 69 indexed citations

12.

Descombes, Xavier, et al.. (2007). Détection de flamants roses par processus ponctuels marqués pour l'estimation de la taille des populations. Traitement du signal. 26(2). 32. 6 indexed citations

13.

Lafarge, Florent, et al.. (2007). Détection de feux de forêt par analyse statistique d'évènements rares à partir d'images infrarouges thermiques. Traitement du signal. 24(1). 1–11. 4 indexed citations

14.

Eriksson, Mats, Guillaume Perrin, Xavier Descombes, & Josiane Zerubia. (2006). A comparative study of three methods for identifying individual tree crowns in aerial images covering different types of forests. 56–60. 6 indexed citations

15.

Lafarge, Florent, Xavier Descombes, Josiane Zerubia, & François Pierrot. (2006). Automatic 3D building reconstruction from dems : An application to PLEIADES simulations. 48–53. 5 indexed citations

16.

Descombes, Xavier, et al.. (2000). Texture Analysis through a Markovian Modelling and Fuzzy Classification: Application to Urban Area Extraction from Satellite Images. International Journal of Computer Vision. 36(3). 221–236. 38 indexed citations

17.

Kruggel, Frithjof, D. Yves von Cramon, & Xavier Descombes. (1999). Comparison of Filtering Methods for fMRI Datasets. NeuroImage. 10(5). 530–543. 49 indexed citations

18.

Descombes, Xavier, Robin D. Morris, Josiane Zerubia, & Marc-Antoine Berthod. (1999). Estimation of Markov random field prior parameters using Markov chain Monte Carlo maximum likelihood. IEEE Transactions on Image Processing. 8(7). 954–963. 72 indexed citations

19.

Descombes, Xavier, Frithjof Kruggel, & D. Yves von Cramon. (1998). Spatio-temporal fMRI analysis using Markov random fields. IEEE Transactions on Medical Imaging. 17(6). 1028–1039. 82 indexed citations

20.

Descombes, Xavier, Frithjof Kruggel, & D. Yves von Cramon. (1998). fMRI Signal Restoration Using a Spatio-Temporal Markov Random Field Preserving Transitions. NeuroImage. 8(4). 340–349. 51 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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