Pierre Besson

9.6k total citations
47 papers, 1.4k citations indexed

About

Pierre Besson is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Pierre Besson has authored 47 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Radiology, Nuclear Medicine and Imaging, 22 papers in Cognitive Neuroscience and 8 papers in Psychiatry and Mental health. Recurrent topics in Pierre Besson's work include Advanced Neuroimaging Techniques and Applications (21 papers), Functional Brain Connectivity Studies (20 papers) and Advanced MRI Techniques and Applications (11 papers). Pierre Besson is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (21 papers), Functional Brain Connectivity Studies (20 papers) and Advanced MRI Techniques and Applications (11 papers). Pierre Besson collaborates with scholars based in France, United States and Canada. Pierre Besson's co-authors include Andrea Bernasconi, Neda Bernasconi, Alan C. Evans, François Dubeau, Frédérick Andermann, Olivier Colliot, X. Leclerc, Maxime Guye, Jean‐Philippe Ranjeva and Jason P. Lerch and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Brain.

In The Last Decade

Pierre Besson

43 papers receiving 1.4k citations

Peers

Pierre Besson
Göran Starck Sweden
Alina Jurcoane Germany
Norihide Maikusa Japan
Alain Pitiot United Kingdom
Nicholas G. Dowell United Kingdom
Priti Balchandani United States
Sonya Bells Canada
Jinsuh Kim United States
David Araújo Brazil
Jacqueline Foong United Kingdom
Göran Starck Sweden
Pierre Besson
Citations per year, relative to Pierre Besson Pierre Besson (= 1×) peers Göran Starck

Countries citing papers authored by Pierre Besson

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Besson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Besson

This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Besson. A scholar is included among the top collaborators of Pierre Besson 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 Pierre Besson. Pierre Besson 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.
Watson, Glenn D. R., Stefano Meletti, Anil Mahavadi, et al.. (2024). Is there room in epilepsy for the claustrum?. SHILAP Revista de lepidopterología. 4. 1385112–1385112.
2.
Ram-Mohan, Nikhil, Alexander Ho, Pierre Besson, Tim J. Kruser, & S. Kathleen Bandt. (2023). Whole-brain radiotherapy associated with structural changes resembling aging as determined by anatomic surface-based deep learning. Neuro-Oncology. 25(7). 1323–1330. 7 indexed citations
3.
Wu, Yunan, Pierre Besson, S. Kathleen Bandt, et al.. (2022). A multicohort geometric deep learning study of age dependent cortical and subcortical morphologic interactions for fluid intelligence prediction. Scientific Reports. 12(1). 17760–17760. 5 indexed citations
4.
Besson, Pierre, et al.. (2022). Geometric deep learning reveals a structuro-temporal understanding of healthy and pathologic brain aging. Frontiers in Aging Neuroscience. 14. 895535–895535. 4 indexed citations
5.
Brun, Gilles, Benoît Testud, Olivier M. Girard, et al.. (2021). Automatic segmentation of deep grey nuclei using a high‐resolution 7T magnetic resonance imaging atlas—Quantification of T1 values in healthy volunteers. European Journal of Neuroscience. 55(2). 438–460. 12 indexed citations
6.
Hodel, Jérôme, X. Leclerc, Mathieu Zuber, et al.. (2020). Structural Connectivity and Cortical Thickness Alterations in Transient Global Amnesia. American Journal of Neuroradiology. 41(5). 798–803. 8 indexed citations
7.
Stellmann, Jan‐Patrick, Adil Maarouf, Karl‐Heinz Schulz, et al.. (2020). Aerobic Exercise Induces Functional and Structural Reorganization of CNS Networks in Multiple Sclerosis: A Randomized Controlled Trial. Frontiers in Human Neuroscience. 14. 255–255. 19 indexed citations
8.
Bandt, S. Kathleen, Pierre Besson, Ben Ridley, et al.. (2019). Connectivity strength, time lag structure and the epilepsy network in resting-state fMRI. NeuroImage Clinical. 24. 102035–102035. 9 indexed citations
9.
Grolez, Guillaume, Maéva Kyheng, Renaud Lopes, et al.. (2018). MRI of the cervical spinal cord predicts respiratory dysfunction in ALS. Scientific Reports. 8(1). 1828–1828. 29 indexed citations
10.
Besson, Pierre, Nicolas Carrière, S. Kathleen Bandt, et al.. (2017). Whole-Brain High-Resolution Structural Connectome: Inter-Subject Validation and Application to the Anatomical Segmentation of the Striatum. Brain Topography. 30(3). 291–302. 10 indexed citations
11.
Wirsich, Jonathan, Ben Ridley, Pierre Besson, et al.. (2017). Complementary contributions of concurrent EEG and fMRI connectivity for predicting structural connectivity. NeuroImage. 161. 251–260. 33 indexed citations
12.
Massire, Aurélien, Manuel Taso, Pierre Besson, et al.. (2016). High-resolution multi-parametric quantitative magnetic resonance imaging of the human cervical spinal cord at 7T. NeuroImage. 143. 58–69. 45 indexed citations
13.
Tir, Mélissa, Christine Delmaire, Pierre Besson, & Luc Defebvre. (2014). The value of novel MRI techniques in Parkinson-plus syndromes: Diffusion tensor imaging and anatomical connectivity studies. Revue Neurologique. 170(4). 266–276. 5 indexed citations
14.
Besson, Pierre, Vera Dinkelacker, Romain Valabrègue, et al.. (2014). Structural connectivity differences in left and right temporal lobe epilepsy. NeuroImage. 100. 135–144. 170 indexed citations
15.
Lopes, Renaud, Friederike Moeller, Pierre Besson, et al.. (2014). Study on the Relationships between Intrinsic Functional Connectivity of the Default Mode Network and Transient Epileptic Activity. Frontiers in Neurology. 5. 201–201. 35 indexed citations
16.
Carrière, Nicolas, Pierre Besson, Kathy Dujardin, et al.. (2014). Apathy in Parkinson's disease is associated with nucleus accumbens atrophy: A magnetic resonance imaging shape analysis. Movement Disorders. 29(7). 897–903. 112 indexed citations
17.
Hodel, Jérôme, Pierre Besson, Alain Rahmouni, et al.. (2013). 3D mapping of cerebrospinal fluid local volume changes in patients with hydrocephalus treated by surgery: preliminary study. European Radiology. 24(1). 136–142. 8 indexed citations
18.
Hodel, Jérôme, Pierre Besson, Olivier Outteryck, et al.. (2012). Pulse-Triggered DTI Sequence with Reduced FOV and Coronal Acquisition at 3T for the Assessment of the Cervical Spinal Cord in Patients with Myelitis. American Journal of Neuroradiology. 34(3). 676–682. 11 indexed citations
19.
Bernhardt, Boris C., Keith J. Worsley, Pierre Besson, et al.. (2008). Mapping limbic network organization in temporal lobe epilepsy using morphometric correlations: Insights on the relation between mesiotemporal connectivity and cortical atrophy. NeuroImage. 42(2). 515–524. 160 indexed citations
20.
Kim, Hosung, Pierre Besson, Olivier Colliot, Andrea Bernasconi, & Neda Bernasconi. (2008). Surface-Based Vector Analysis Using Heat Equation Interpolation: A New Approach to Quantify Local Hippocampal Volume Changes. Lecture notes in computer science. 11(Pt 1). 1008–1015. 21 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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