Bernard Gibaud

88 papers receiving 1.1k citations

Peers

Bernard Gibaud
Comparison fields: 5 of 126
  • Computer Vision and Pattern Recognition 288
  • Health Informatics 19
  • Radiology, Nuclear Medicine and Imaging 315
  • Human-Computer Interaction 46
  • Cognitive Neuroscience 158
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Countries citing papers authored by Bernard Gibaud

Since Specialization
Citations

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

Fields of papers citing papers by Bernard Gibaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bernard Gibaud, 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 Bernard Gibaud Line = papers co-authored together Bernard Gibaud links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003143
2 201983
3 201265
4 200254
5
Social security mutualism : the comparative history of mutual benefit societies
199653
6 201851
7 201543
8 199339
9 200835
10 200329
11 200324
12
Computer graphics in medicine: a survey.
198823
13 201222
14 201522
15 199922
16 201522
17 200320
18 201420
19
What reasoning support for ontology and rules? the brain anatomy case study
200517
20 201016

About Bernard Gibaud

Bernard Gibaud is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 94 papers that have together received 1.1k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (29 papers), Semantic Web and Ontologies (23 papers), Medical Image Segmentation Techniques (20 papers), Image Retrieval and Classification Techniques (15 papers), Medical Imaging Techniques and Applications (10 papers), Advanced Neuroimaging Techniques and Applications (9 papers), Digital Radiography and Breast Imaging (8 papers) and Advanced MRI Techniques and Applications (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (288 citations), Health Informatics (19 citations), Radiology, Nuclear Medicine and Imaging (315 citations), Human-Computer Interaction (46 citations) and Cognitive Neuroscience (158 citations). Bernard Gibaud has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Pierre Jannin, Xavier Morandi, Christian Barillot, Jean‐Marie Scarabin, Pierre Hellier, Olivier Dameron, Isabelle Corouge, Christine Golbreich, Georges Le Goualher and Michel Dojat. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, IEEE Transactions on Medical Imaging, NeuroImage, Artificial Intelligence in Medicine and Physics in Medicine and Biology.

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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