Benoît Caldairou

2.2k total citations
22 papers, 891 citations indexed

About

Benoît Caldairou is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Benoît Caldairou has authored 22 papers receiving a total of 891 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Cognitive Neuroscience and 8 papers in Psychiatry and Mental health. Recurrent topics in Benoît Caldairou's work include Functional Brain Connectivity Studies (11 papers), Advanced Neuroimaging Techniques and Applications (11 papers) and Epilepsy research and treatment (8 papers). Benoît Caldairou is often cited by papers focused on Functional Brain Connectivity Studies (11 papers), Advanced Neuroimaging Techniques and Applications (11 papers) and Epilepsy research and treatment (8 papers). Benoît Caldairou collaborates with scholars based in Canada, United States and Germany. Benoît Caldairou's co-authors include Andrea Bernasconi, Boris C. Bernhardt, Neda Bernasconi, Seok‐Jun Hong, Neda Bernasconi, Elizabeth Jefferies, Jonathan Smallwood, Min Liu, François Rousseau and Colin Studholme and has published in prestigious journals such as Proceedings of the National Academy of Sciences, NeuroImage and Brain.

In The Last Decade

Benoît Caldairou

22 papers receiving 883 citations

Peers

Benoît Caldairou
Nathan Cashdollar United States
Jun Ki Lee South Korea
Min‐Seong Koo South Korea
Anil Rao United Kingdom
M SHENTON United States
Erhan Bilir Türkiye
Benoît Caldairou
Citations per year, relative to Benoît Caldairou Benoît Caldairou (= 1×) peers Julie L. Winterburn

Countries citing papers authored by Benoît Caldairou

Since Specialization
Citations

This map shows the geographic impact of Benoît Caldairou'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 Benoît Caldairou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benoît Caldairou more than expected).

Fields of papers citing papers by Benoît Caldairou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benoît Caldairou. 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 Benoît Caldairou. The network helps show where Benoît Caldairou may publish in the future.

Co-authorship network of co-authors of Benoît Caldairou

This figure shows the co-authorship network connecting the top 25 collaborators of Benoît Caldairou. A scholar is included among the top collaborators of Benoît Caldairou based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Benoît Caldairou. Benoît Caldairou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Fadaie, Fatemeh, Benoît Caldairou, Ravnoor Gill, et al.. (2024). Region-specific MRI predictors of surgical outcome in temporal lobe epilepsy. NeuroImage Clinical. 43. 103658–103658. 1 indexed citations
2.
Fadaie, Fatemeh, Ravnoor Gill, Benoît Caldairou, et al.. (2024). MRI-Derived Modeling of Disease Progression Patterns in Patients With Temporal Lobe Epilepsy. Neurology. 103(3). e209524–e209524. 3 indexed citations
3.
Valk, Sofie L., Veronika Engert, Lara Puhlmann, et al.. (2023). Differential increase of hippocampal subfield volume after socio-affective mental training relates to reductions in diurnal cortisol. eLife. 12. 1 indexed citations
4.
Bayrak, Şeyma, Reinder Vos de Wael, H. Lina Schaare, et al.. (2022). Heritability of hippocampal functional and microstructural organisation. NeuroImage. 264. 119656–119656. 8 indexed citations
5.
Fadaie, Fatemeh, Ravnoor Gill, Benoît Caldairou, et al.. (2021). Decomposing MRI phenotypic heterogeneity in epilepsy: a step towards personalized classification. Brain. 145(3). 897–908. 32 indexed citations
6.
Puhlmann, Lara, Roman Linz, Sofie L. Valk, et al.. (2021). Association between hippocampal structure and serum Brain-Derived Neurotrophic Factor (BDNF) in healthy adults: A registered report. NeuroImage. 236. 118011–118011. 20 indexed citations
7.
Caldairou, Benoît, Carlotta Mutti, Fatemeh Fadaie, et al.. (2021). MRI-Based Machine Learning Prediction Framework to Lateralize Hippocampal Sclerosis in Patients With Temporal Lobe Epilepsy. Neurology. 97(16). e1583–e1593. 18 indexed citations
8.
Winston, Gavin P., Sjoerd B. Vos, Benoît Caldairou, et al.. (2020). Microstructural imaging in temporal lobe epilepsy: Diffusion imaging changes relate to reduced neurite density. NeuroImage Clinical. 26. 102231–102231. 35 indexed citations
9.
Deleo, Francesco, et al.. (2020). Whole-brain multimodal MRI phenotyping of periventricular nodular heterotopia. Neurology. 95(17). e2418–e2426. 11 indexed citations
10.
Lowe, Alexander J., Casey Paquola, Reinder Vos de Wael, et al.. (2019). Targeting age‐related differences in brain and cognition with multimodal imaging and connectome topography profiling. Human Brain Mapping. 40(18). 5213–5230. 24 indexed citations
11.
Bernhardt, Boris C., Fatemeh Fadaie, Min Liu, et al.. (2019). Temporal lobe epilepsy. Neurology. 92(19). e2209–e2220. 80 indexed citations
12.
Wael, Reinder Vos de, Sara Larivière, Benoît Caldairou, et al.. (2018). Anatomical and microstructural determinants of hippocampal subfield functional connectome embedding. Proceedings of the National Academy of Sciences. 115(40). 10154–10159. 165 indexed citations
13.
Kim, Hosung, Benoît Caldairou, Andrea Bernasconi, & Neda Bernasconi. (2018). Multi-Template Mesiotemporal Lobe Segmentation: Effects of Surface and Volume Feature Modeling. Frontiers in Neuroinformatics. 12. 39–39. 3 indexed citations
14.
Hong, Seok‐Jun, Boris C. Bernhardt, Benoît Caldairou, et al.. (2017). Multimodal MRI profiling of focal cortical dysplasia type II. Neurology. 88(8). 734–742. 70 indexed citations
15.
Liu, Min, Boris C. Bernhardt, Seok‐Jun Hong, et al.. (2016). The superficial white matter in temporal lobe epilepsy: a key link between structural and functional network disruptions. Brain. 139(9). 2431–2440. 78 indexed citations
16.
Bernhardt, Boris C., Andrea Bernasconi, Min Liu, et al.. (2016). The spectrum of structural and functional imaging abnormalities in temporal lobe epilepsy. Annals of Neurology. 80(1). 142–153. 97 indexed citations
17.
Kim, Hosung, Benoît Caldairou, Tommaso Mansi, et al.. (2015). Accurate cortical tissue classification on MRI by modeling cortical folding patterns. Human Brain Mapping. 36(9). 3563–3574. 14 indexed citations
18.
Frauscher, Birgit, Neda Bernasconi, Benoît Caldairou, et al.. (2015). Interictal Hippocampal Spiking Influences the Occurrence of Hippocampal Sleep Spindles. SLEEP. 38(12). 1927–1933. 49 indexed citations
19.
Kim, Hosung, et al.. (2014). Multivariate Hippocampal Subfield Analysis of Local MRI Intensity and Volume: Application to Temporal Lobe Epilepsy. Lecture notes in computer science. 17(Pt 2). 170–178. 27 indexed citations
20.
Caldairou, Benoît, Nicolas Passat, Piotr A. Habas, Colin Studholme, & François Rousseau. (2010). A non-local fuzzy segmentation method: Application to brain MRI. Pattern Recognition. 44(9). 1916–1927. 106 indexed citations

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.

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