Éric Debreuve

98 total papers · 1.1k total citations
26 papers, 296 citations indexed

About

Éric Debreuve is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Signal Processing. According to data from OpenAlex, Éric Debreuve has authored 26 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 7 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Signal Processing. Recurrent topics in Éric Debreuve's work include Medical Image Segmentation Techniques (12 papers), Advanced Vision and Imaging (11 papers) and Medical Imaging Techniques and Applications (6 papers). Éric Debreuve is often cited by papers focused on Medical Image Segmentation Techniques (12 papers), Advanced Vision and Imaging (11 papers) and Medical Imaging Techniques and Applications (6 papers). Éric Debreuve collaborates with scholars based in France, United States and Belgium. Éric Debreuve's co-authors include Michel Barlaud, Vincent Garcia, Frank Nielsen, Gilles Aubert, Jacques Darcourt, Xavier Descombes, Fabienne De Graeve, Ariane Herbulot, Szilvia Ecsedi and Arnaud Hubstenberger and has published in prestigious journals such as Journal of Cell Science, IEEE Transactions on Image Processing and IEEE Transactions on Medical Imaging.

In The Last Decade

Éric Debreuve

21 papers receiving 284 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Éric Debreuve	191	43	43	41	28	26	296
Roland Hu	247 1.3×	72 1.7×	19 0.4×	28 0.7×	13 0.5×	31	360
Yu-Tai Ching	118 0.6×	26 0.6×	67 1.6×	28 0.7×	12 0.4×	38	341
Murat H. Sazlı	129 0.7×	115 2.7×	32 0.7×	37 0.9×	18 0.6×	23	297
Oh‐Kyu Kwon	215 1.1×	34 0.8×	28 0.7×	27 0.7×	61 2.2×	21	317
Shaoshuai Gao	117 0.6×	58 1.3×	29 0.7×	56 1.4×	28 1.0×	50	259
Mohamed S. El-Mahallawy	102 0.5×	81 1.9×	24 0.6×	24 0.6×	32 1.1×	32	361
C. Chinrungrueng	118 0.6×	98 2.3×	47 1.1×	65 1.6×	9 0.3×	22	298
Diwei Zhou	66 0.3×	62 1.4×	68 1.6×	21 0.5×	10 0.4×	24	311
Baidya Nath Saha	152 0.8×	75 1.7×	31 0.7×	14 0.3×	14 0.5×	27	312
Takuma Yamaguchi	87 0.5×	58 1.3×	65 1.5×	19 0.5×	9 0.3×	33	310

Countries citing papers authored by Éric Debreuve

Since Specialization

Citations

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

Fields of papers citing papers by Éric Debreuve

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Éric Debreuve

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

All Works

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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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