Mathilde Badoual
- Modeling and Simulation top 1%
- Mathematical Biology Tumor Growth 16
- COVID-19 epidemiological studies 4
- Genetics top 2%
- Glioma Diagnosis and Treatment 12
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function 6
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- Neuroscience and Neural Engineering 5
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- Cellular Mechanics and Interactions 6
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- Diffusion and Search Dynamics 4
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- Radiomics and Machine Learning in Medical Imaging 3
- Co-authors
- Christophe DeroulersThierry BalB. GrammaticosJacques ProstFrank JülicherYousheng ShuAndrea R. HasenstaubDavid A. McCormick
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Mathilde Badoual
39 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 125
- Modeling and Simulation 238
- Genetics 366
- Cognitive Neuroscience 362
- Cellular and Molecular Neuroscience 315
- Statistical and Nonlinear Physics 166
Countries citing papers authored by Mathilde Badoual
This map shows the geographic impact of Mathilde Badoual'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 Mathilde Badoual with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathilde Badoual more than expected).
Fields of papers citing papers by Mathilde Badoual
This network shows the impact of papers produced by Mathilde Badoual. 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 Mathilde Badoual. The network helps show where Mathilde Badoual may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mathilde Badoual, 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 | 2024 | 1 | |
| 2 | 2023 | 4 | |
| 3 | 2021 | 7 | |
| 4 | 2021 | 7 | |
| 5 | 2020 | 1 | |
| 6 | 2020 | 11 | |
| 7 | 2018 | 12 | |
| 8 | 2016 | 79 | |
| 9 | 2013 | 73 | |
| 10 | 2013 | 40 | |
| 11 | 2013 | 7 | |
| 12 | 2012 | 2 | |
| 13 | 2011 | 37 | |
| 14 | 2010 | 13 | |
| 15 | 2010 | 145 | |
| 16 | 2009 | 92 | |
| 17 | 2008 | 14 | |
| 18 | 2006 | 52 | |
| 19 | 2004 | 8 | |
| 20 | 2003 | 23 |
About Mathilde Badoual
Mathilde Badoual is a scholar working on Modeling and Simulation, Genetics, Statistical and Nonlinear Physics, Cell Biology and Cellular and Molecular Neuroscience, having authored 40 papers that have together received 1.4k indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (16 papers), Glioma Diagnosis and Treatment (12 papers), Neural dynamics and brain function (6 papers), Cellular Mechanics and Interactions (6 papers), Neuroscience and Neural Engineering (5 papers), COVID-19 epidemiological studies (4 papers), Diffusion and Search Dynamics (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Modeling and Simulation (238 citations), Genetics (366 citations), Cognitive Neuroscience (362 citations), Cellular and Molecular Neuroscience (315 citations) and Statistical and Nonlinear Physics (166 citations). Mathilde Badoual has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Christophe Deroulers, Thierry Bal, B. Grammaticos, Jacques Prost, Frank Jülicher, Yousheng Shu, Andrea R. Hasenstaub, David A. McCormick, Johan Pallud and Pascale Varlet. Their work appears in journals such as Neurocomputing, Physical Biology, Cell Proliferation, Physica D Nonlinear Phenomena and PLoS Computational 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.