Laboratoire d’Imagerie Biomédicale
Impact in
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- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Neurology top 10%
Papers in
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- Advanced MRI Techniques and Applications 161
- Advanced Neuroimaging Techniques and Applications 131
- Medical Imaging Techniques and Applications 130
- Ultrasound Imaging and Elastography 109
- Radiomics and Machine Learning in Medical Imaging 71
- Neurology 175
- Top scholars
- Peng HuangNicholas AyacheXavier PennecChristos DavatzikosXiaoyuan ChenAristeidis SotirasPierre FillardWenpei Fan
- Journals
- American Journal of Neuroradiology (111 papers)Alzheimer s & Dementia (41 papers)Scientific Reports (28 papers)PLoS ONE (27 papers)Nanoscale (23 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Laboratoire d’Imagerie Biomédicale
1.9k papers receiving 60.0k citations
Peers
Comparison fields: 5 of 230
- Radiology, Nuclear Medicine and Imaging 15.2k
- Neurology 3.3k
- Neurology 5.7k
- Cognitive Neuroscience 6.4k
- Computational Mathematics 167
Countries citing scholars working at Laboratoire d’Imagerie Biomédicale
This map shows the geographic impact of research produced by authors working at Laboratoire d’Imagerie Biomédicale. 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 papers produced at Laboratoire d’Imagerie Biomédicale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laboratoire d’Imagerie Biomédicale more than expected).
Fields of papers published by authors at Laboratoire d’Imagerie Biomédicale
This network shows the impact of papers affiliated with Laboratoire d’Imagerie Biomédicale at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Laboratoire d’Imagerie Biomédicale at the time of their publication.
About Laboratoire d’Imagerie Biomédicale
In recent decades, authors affiliated with Laboratoire d’Imagerie Biomédicale have published 2.4k papers, which have received a total of 69.3k indexed citations . Scholars at this organization have produced 629 papers in Radiology, Nuclear Medicine and Imaging, 175 papers in Neurology, 78 papers in Orthopedics and Sports Medicine, 51 papers in Biophysics and 168 papers in Cardiology and Cardiovascular Medicine on the topics of Advanced MRI Techniques and Applications (161 papers), Advanced Neuroimaging Techniques and Applications (131 papers), Medical Imaging Techniques and Applications (130 papers), Ultrasound Imaging and Elastography (109 papers), Photoacoustic and Ultrasonic Imaging (108 papers), Functional Brain Connectivity Studies (100 papers), Medical Image Segmentation Techniques (76 papers) and Radiomics and Machine Learning in Medical Imaging (71 papers). Their work is cited by papers focused on Radiology, Nuclear Medicine and Imaging (15.2k citations), Neurology (3.3k citations), Neurology (5.7k citations), Cognitive Neuroscience (6.4k citations) and Computational Mathematics (167 citations). Authors at Laboratoire d’Imagerie Biomédicale collaborate with scholars in France, United States and United Kingdom and have published in prestigious journals including American Journal of Neuroradiology, Alzheimer s & Dementia, Scientific Reports, PLoS ONE and Nanoscale. Some of Laboratoire d’Imagerie Biomédicale's most productive authors include Peng Huang, Nicholas Ayache, Xavier Pennec, Christos Davatzikos, Xiaoyuan Chen, Aristeidis Sotiras, Pierre Fillard, Wenpei Fan, Nikos Paragios and Philip J. Blower.
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.