Emmanuel Mandonnet
Impact in
- Genetics top 0.1%
- Glioma Diagnosis and Treatment
-
- Advanced Neuroimaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
Papers in
- Genetics 64
- Glioma Diagnosis and Treatment 64
-
- Advanced Neuroimaging Techniques and Applications 37
- Radiomics and Machine Learning in Medical Imaging 21
- Co-authors
- Hugues DuffauLaurent CapelleLuc TaillandierPeggy GatignolJohan PalludSylvie Moritz‐GasserMichel Thiebaut de SchottenRémy Guillevin
- Journals
- Acta Neurochirurgica (24 papers)Neurosurgery (10 papers)Journal of Neuro-Oncology (6 papers)Journal of neurosurgery (5 papers)Annals of Neurology (5 papers)
- Partner nations
- FranceUnited StatesNetherlands
In The Last Decade
Emmanuel Mandonnet
143 papers receiving 6.1k citations
Peers
Comparison fields: 5 of 139
- Genetics 3.0k
- Radiology, Nuclear Medicine and Imaging 2.8k
- Modeling and Simulation 425
- Cognitive Neuroscience 1.7k
- Neurology 796
Countries citing papers authored by Emmanuel Mandonnet
This map shows the geographic impact of Emmanuel Mandonnet'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 Emmanuel Mandonnet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emmanuel Mandonnet more than expected).
Fields of papers citing papers by Emmanuel Mandonnet
This network shows the impact of papers produced by Emmanuel Mandonnet. 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 Emmanuel Mandonnet. The network helps show where Emmanuel Mandonnet may publish in the future.
Co-authors
The 25 scholars most cited alongside Emmanuel Mandonnet, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 8 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 3 | |
| 7 | 2021 | 6 | |
| 8 | 2020 | 5 | |
| 9 | 2020 | 21 | |
| 10 | 2020 | 10 | |
| 11 | 2019 | 18 | |
| 12 | 2017 | 56 | |
| 13 | 2016 | 22 | |
| 14 | 2015 | 4 | |
| 15 | 2015 | 39 | |
| 16 | 2012 | 84 | |
| 17 | 2011 | 37 | |
| 18 | 2011 | 262 | |
| 19 | 2009 | 152 | |
| 20 | 2006 | 118 |
About Emmanuel Mandonnet
Emmanuel Mandonnet is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging, Modeling and Simulation, Cognitive Neuroscience and Epidemiology, having authored 154 papers that have together received 6.1k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (64 papers), Meningioma and schwannoma management (43 papers), Advanced Neuroimaging Techniques and Applications (37 papers), Radiomics and Machine Learning in Medical Imaging (21 papers), EEG and Brain-Computer Interfaces (17 papers), Functional Brain Connectivity Studies (17 papers), Neurobiology of Language and Bilingualism (17 papers) and Neuroscience and Neural Engineering (11 papers). The work is most often cited by research in Genetics (3.0k citations), Radiology, Nuclear Medicine and Imaging (2.8k citations), Modeling and Simulation (425 citations), Cognitive Neuroscience (1.7k citations) and Neurology (796 citations). Emmanuel Mandonnet has collaborated with scholars based in France, United States and Netherlands. Frequent co-authors include Hugues Duffau, Laurent Capelle, Luc Taillandier, Peggy Gatignol, Johan Pallud, Sylvie Moritz‐Gasser, Michel Thiebaut de Schotten, Rémy Guillevin, Elsa D. Angelini and Denys Fontaine. Their work appears in journals such as Acta Neurochirurgica, Neurosurgery, Journal of Neuro-Oncology, Journal of neurosurgery and Annals of Neurology.
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.