Laurent Risser

118 total papers · 1.4k total citations
49 papers, 811 citations indexed

About

Laurent Risser is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Laurent Risser has authored 49 papers receiving a total of 811 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 16 papers in Radiology, Nuclear Medicine and Imaging and 13 papers in Artificial Intelligence. Recurrent topics in Laurent Risser's work include Medical Image Segmentation Techniques (18 papers), Advanced Neuroimaging Techniques and Applications (9 papers) and Bayesian Methods and Mixture Models (4 papers). Laurent Risser is often cited by papers focused on Medical Image Segmentation Techniques (18 papers), Advanced Neuroimaging Techniques and Applications (9 papers) and Bayesian Methods and Mixture Models (4 papers). Laurent Risser collaborates with scholars based in France, United Kingdom and South Africa. Laurent Risser's co-authors include Franck Plouraboué, Caroline Fonta, François‐Xavier Vialard, Daniel Rueckert, Peter Cloetens, Philippe Ciuciu, Thomas Vincent, Colin J. Cotter, Julia A. Schnabel and Xavier Descombes and has published in prestigious journals such as NeuroImage, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Laurent Risser

48 papers receiving 788 citations

Author Peers

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

Author						Papers	Cites
Laurent Risser	329	279	101	101	99	49	811
Hervé Lombaert	346 1.1×	429 1.5×	128 1.3×	84 0.8×	117 1.2×	41	834
Alexandre Guimond	375 1.1×	433 1.6×	83 0.8×	92 0.9×	64 0.6×	14	769
Jon Sporring	212 0.6×	400 1.4×	95 0.9×	66 0.7×	51 0.5×	77	936
Matthieu Jomier	350 1.1×	372 1.3×	69 0.7×	118 1.2×	49 0.5×	11	758
Christian Brechbühler	256 0.8×	512 1.8×	127 1.3×	86 0.9×	83 0.8×	8	935
David Metcalf	351 1.1×	303 1.1×	110 1.1×	200 2.0×	46 0.5×	14	827
R. Nick Bryan	294 0.9×	127 0.5×	50 0.5×	116 1.1×	53 0.5×	18	979
Daniel Fritsch	201 0.6×	675 2.4×	137 1.4×	49 0.5×	80 0.8×	37	1.0k
Kanwal K. Bhatia	332 1.0×	434 1.6×	58 0.6×	63 0.6×	80 0.8×	25	897
Jean‐Paul Armspach	321 1.0×	262 0.9×	75 0.7×	109 1.1×	45 0.5×	48	978

Countries citing papers authored by Laurent Risser

Since Specialization

Citations

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

Fields of papers citing papers by Laurent Risser

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laurent Risser

This figure shows the co-authorship network connecting the top 25 collaborators of Laurent Risser. A scholar is included among the top collaborators of Laurent Risser 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 Laurent Risser. Laurent Risser 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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