Vincent Agnus

2.1k citations
64 papers · 1.5k · h-index 22

Impact in

Papers in

    • Medical Image Segmentation Techniques 8
    • Image Retrieval and Classification Techniques 5
    • Augmented Reality Applications 5
    • Advanced Image and Video Retrieval Techniques 4
    • Surgical Simulation and Training 4

Vincent Agnus

63 papers receiving 1.4k citations

Peers

Vincent Agnus
Comparison fields: 5 of 98
  • Radiology, Nuclear Medicine and Imaging 348
  • Hepatology 85
  • Surgery 419
  • Computer Vision and Pattern Recognition 187
  • Oncology 212
Replace Christopher F. Beaulieu with:
Christopher F. Beaulieu United States
Manuel Barberio France
M. Carrara Italy
Pengfei Yang China
Thomas Wendler Germany
Filip Banovac United States
Geoffrey Zhang United States
Akira Furukawa Japan
Marco Nolden Germany
Rex Cheung United States
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Citations per field
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Citations per year

Countries citing papers authored by Vincent Agnus

Since Specialization
Citations

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

Fields of papers citing papers by Vincent Agnus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Vincent Agnus, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vincent Agnus Line = papers co-authored together Vincent Agnus links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013131
2 2019114
3 2015103
4 201462
5 202054
6 201950
7 201448
8 201947
9 201946
10 201844
11 201743
12 201643
13 202040
14 201836
15 200631
16 201527
17 202126
18 201926
19 201823
20 200523

About Vincent Agnus

Vincent Agnus is a scholar working on Computer Vision and Pattern Recognition, Surgery, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Oncology, having authored 64 papers that have together received 1.5k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (8 papers), Optical Imaging and Spectroscopy Techniques (7 papers), Colorectal Cancer Surgical Treatments (5 papers), Image Retrieval and Classification Techniques (5 papers), Augmented Reality Applications (5 papers), Robotics and Sensor-Based Localization (5 papers), Surgical Simulation and Training (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (348 citations), Hepatology (85 citations), Surgery (419 citations), Computer Vision and Pattern Recognition (187 citations) and Oncology (212 citations). Vincent Agnus has collaborated with scholars based in France, Switzerland and Italy. Frequent co-authors include Jacques Marescaux, Michèle Diana, Luc Soler, Bernard Gény, Manuel Barberio, Pierre Diemunsch, Bernard Dallemagne, Véronique Lindner, Anne‐Laure Charles and Patrick Pessaux. Their work appears in journals such as Surgical Endoscopy, Computer Methods and Programs in Biomedicine, Surgical Innovation, Annals of Surgery and British journal of surgery.

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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