Laboratoire d'Imagerie Biomédicale Multimodale Paris-Saclay
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Ultrasound Imaging and Elastography
- Radiopharmaceutical Chemistry and Applications
- Medical Imaging Techniques and Applications
Papers in
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- Medical Imaging Techniques and Applications 34
- Ultrasound Imaging and Elastography 33
- Radiomics and Machine Learning in Medical Imaging 27
- Radiopharmaceutical Chemistry and Applications 27
- Advanced MRI Techniques and Applications 20
- Top scholars
- Jean‐Luc GennissonNathalie LassauMichel BottlaenderMattéo ToniettoNicolas TournierSamy AmmariCorinne BalleyguierLoredana Culotta
- Journals
- Diagnostic and Interventional Imaging (14 papers)Physics in Medicine and Biology (12 papers)Cancers (11 papers)European Radiology (9 papers)European Journal of Cancer (8 papers)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Laboratoire d'Imagerie Biomédicale Multimodale Paris-Saclay
382 papers receiving 5.1k citations
Peers
Comparison fields: 5 of 174
- Health Informatics 160
- Radiology, Nuclear Medicine and Imaging 1.3k
- Neurology 203
- Neurology 341
- Radiation 171
Countries citing scholars working at Laboratoire d'Imagerie Biomédicale Multimodale Paris-Saclay
This map shows the geographic impact of research produced by authors working at Laboratoire d'Imagerie Biomédicale Multimodale Paris-Saclay. 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 Multimodale Paris-Saclay 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 Multimodale Paris-Saclay more than expected).
Fields of papers published by authors at Laboratoire d'Imagerie Biomédicale Multimodale Paris-Saclay
This network shows the impact of papers affiliated with Laboratoire d'Imagerie Biomédicale Multimodale Paris-Saclay 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 Multimodale Paris-Saclay at the time of their publication.
About Laboratoire d'Imagerie Biomédicale Multimodale Paris-Saclay
In recent decades, authors affiliated with Laboratoire d'Imagerie Biomédicale Multimodale Paris-Saclay have published 423 papers, which have received a total of 5.1k indexed citations . Scholars at this organization have produced 152 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Health Informatics, 43 papers in Oncology, 14 papers in Radiation and 12 papers in Neurology on the topics of Medical Imaging Techniques and Applications (34 papers), Ultrasound Imaging and Elastography (33 papers), Radiomics and Machine Learning in Medical Imaging (27 papers), Radiopharmaceutical Chemistry and Applications (27 papers), Drug Transport and Resistance Mechanisms (24 papers), Advanced MRI Techniques and Applications (20 papers), Dementia and Cognitive Impairment Research (16 papers) and Ultrasound and Hyperthermia Applications (16 papers). Their work is cited by papers focused on Health Informatics (160 citations), Radiology, Nuclear Medicine and Imaging (1.3k citations), Neurology (203 citations), Neurology (341 citations) and Radiation (171 citations). Authors at Laboratoire d'Imagerie Biomédicale Multimodale Paris-Saclay collaborate with scholars in France, United States and Germany and have published in prestigious journals including Diagnostic and Interventional Imaging, Physics in Medicine and Biology, Cancers, European Radiology and European Journal of Cancer. Some of Laboratoire d'Imagerie Biomédicale Multimodale Paris-Saclay's most productive authors include Jean‐Luc Gennisson, Nathalie Lassau, Michel Bottlaender, Mattéo Tonietto, Nicolas Tournier, Samy Ammari, Corinne Balleyguier, Loredana Culotta, Santino Orecchio and Viviane Bouilleret.
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.