Imagerie et Modélisation en Neurobiologie et Cancérologie
Impact in
- Radiation top 10%
- Advanced Radiotherapy Techniques
- Radiation Detection and Scintillator Technologies
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- Medical Imaging Techniques and Applications
- Optical Imaging and Spectroscopy Techniques
Papers in
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- Nonlinear Waves and Solitons 59
- Radiation 43
- Advanced Radiotherapy Techniques 21
- Radiation Detection and Scintillator Technologies 20
- Top scholars
- Irène BuvatYolanda PrezadoEmmanuel MandonnetBasil GrammaticosHugues DuffauBrian F. HuttonClaire MartinA. Ramani
In The Last Decade
Imagerie et Modélisation en Neurobiologie et Cancérologie
310 papers receiving 8.8k citations
Peers
Comparison fields: 5 of 167
- Radiation 1.2k
- Radiology, Nuclear Medicine and Imaging 2.6k
- Genetics 659
- Sensory Systems 371
- Pulmonary and Respiratory Medicine 1.8k
Countries citing scholars working at Imagerie et Modélisation en Neurobiologie et Cancérologie
This map shows the geographic impact of research produced by authors working at Imagerie et Modélisation en Neurobiologie et Cancérologie. 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 Imagerie et Modélisation en Neurobiologie et Cancérologie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Imagerie et Modélisation en Neurobiologie et Cancérologie more than expected).
Fields of papers published by authors at Imagerie et Modélisation en Neurobiologie et Cancérologie
This network shows the impact of papers affiliated with Imagerie et Modélisation en Neurobiologie et Cancérologie 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 Imagerie et Modélisation en Neurobiologie et Cancérologie at the time of their publication.
About Imagerie et Modélisation en Neurobiologie et Cancérologie
In recent decades, authors affiliated with Imagerie et Modélisation en Neurobiologie et Cancérologie have published 322 papers, which have received a total of 8.8k indexed citations . Scholars at this organization have produced 59 papers in Statistical and Nonlinear Physics, 43 papers in Radiation, 100 papers in Radiology, Nuclear Medicine and Imaging, 26 papers in Biophysics and 13 papers in Modeling and Simulation on the topics of Nonlinear Waves and Solitons (59 papers), Radiation Therapy and Dosimetry (52 papers), Medical Imaging Techniques and Applications (51 papers), Optical Imaging and Spectroscopy Techniques (38 papers), Advanced Radiotherapy Techniques (21 papers), Radiation Detection and Scintillator Technologies (20 papers), Spectroscopy Techniques in Biomedical and Chemical Research (19 papers) and Glioma Diagnosis and Treatment (16 papers). Their work is cited by papers focused on Radiation (1.2k citations), Radiology, Nuclear Medicine and Imaging (2.6k citations), Genetics (659 citations), Sensory Systems (371 citations) and Pulmonary and Respiratory Medicine (1.8k citations). Authors at Imagerie et Modélisation en Neurobiologie et Cancérologie collaborate with scholars in France, Japan and Spain and have published in prestigious journals including Journal of Physics A Mathematical and Theoretical, Medical Physics, Physics in Medicine and Biology, Scientific Reports and Journal of Nuclear Medicine. Some of Imagerie et Modélisation en Neurobiologie et Cancérologie's most productive authors include Irène Buvat, Yolanda Prezado, Emmanuel Mandonnet, Basil Grammaticos, Hugues Duffau, Brian F. Hutton, Claire Martin, A. Ramani, Hirac Gurden and Benjamin A. Thomas.
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.