Benoît Scherrer

2.4k total citations
73 papers, 1.5k citations indexed

About

Benoît Scherrer is a scholar working on Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health and Physiology. According to data from OpenAlex, Benoît Scherrer has authored 73 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Radiology, Nuclear Medicine and Imaging, 24 papers in Pediatrics, Perinatology and Child Health and 12 papers in Physiology. Recurrent topics in Benoît Scherrer's work include Advanced Neuroimaging Techniques and Applications (37 papers), Advanced MRI Techniques and Applications (26 papers) and Fetal and Pediatric Neurological Disorders (22 papers). Benoît Scherrer is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (37 papers), Advanced MRI Techniques and Applications (26 papers) and Fetal and Pediatric Neurological Disorders (22 papers). Benoît Scherrer collaborates with scholars based in United States, France and Belgium. Benoît Scherrer's co-authors include Simon K. Warfield, Mustafa Şahin, Ali Gholipour, Sanjay P. Prabhu, Maxime Taquet, Jurriaan M. Peters, Michel Dojat, Catherine Garbay, Florence Forbes and Anna K. Prohl and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and PLoS ONE.

In The Last Decade

Benoît Scherrer

72 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Benoît Scherrer United States 23 704 343 275 210 188 73 1.5k
Marina Barysheva Australia 17 898 1.3× 237 0.7× 194 0.7× 719 3.4× 71 0.4× 61 1.5k
Petronella Anbeek Netherlands 11 298 0.4× 288 0.8× 237 0.9× 71 0.3× 310 1.6× 14 1.1k
Birkan Tunç United States 15 800 1.1× 154 0.4× 74 0.3× 632 3.0× 103 0.5× 48 1.5k
Jean‐Philippe Fortin United States 8 896 1.3× 142 0.4× 78 0.3× 680 3.2× 49 0.3× 13 1.6k
Shohei Fujita Japan 26 1.1k 1.6× 164 0.5× 70 0.3× 189 0.9× 55 0.3× 130 2.1k
Shiva Keihaninejad United Kingdom 15 566 0.8× 89 0.3× 214 0.8× 284 1.4× 204 1.1× 32 1.4k
Dorothea Buck Germany 25 605 0.9× 50 0.1× 162 0.6× 246 1.2× 112 0.6× 41 2.5k
Ali Tabesh United States 21 1.5k 2.2× 245 0.7× 81 0.3× 589 2.8× 202 1.1× 31 2.1k
Olivier Commowick France 24 787 1.1× 140 0.4× 64 0.2× 113 0.5× 693 3.7× 73 1.7k

Countries citing papers authored by Benoît Scherrer

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Scherrer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benoît Scherrer

This figure shows the co-authorship network connecting the top 25 collaborators of Benoît Scherrer. A scholar is included among the top collaborators of Benoît Scherrer 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 Scherrer. Benoît Scherrer 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.
Woolen, Sean, Robert MacDougall, Benoît Scherrer, et al.. (2025). Hepatocellular Carcinoma Surveillance: Operational and Environmental Impact of Abbreviated MRI Protocols. Canadian Association of Radiologists Journal. 77(2). 361–368.
2.
Reymbaut, Alexis, Guillaume Gilbert, Filip Szczepankiewicz, et al.. (2021). Magic DIAMOND: Multi-fascicle diffusion compartment imaging with tensor distribution modeling and tensor-valued diffusion encoding. Medical Image Analysis. 70. 101988–101988. 9 indexed citations
3.
Cohen, Alexander L., Anna K. Prohl, Louis Soussand, et al.. (2021). Tuber Locations Associated with Infantile Spasms Map to a Common Brain Network. Annals of Neurology. 89(4). 726–739. 37 indexed citations
4.
Ramírez-Manzanares, Alonso, José L. Marroquín, Marcos L. Aranda, et al.. (2019). Histological and diffusion-weighted magnetic resonance imaging data from normal and degenerated optic nerve and chiasm of the rat. SHILAP Revista de lepidopterología. 26. 104399–104399. 1 indexed citations
5.
Srivastava, Siddharth, Benoît Scherrer, Anna K. Prohl, et al.. (2018). Volumetric Analysis of the Basal Ganglia and Cerebellar Structures in Patients with Phelan-McDermid Syndrome. Pediatric Neurology. 90. 37–43. 16 indexed citations
6.
Peters, Jurriaan M., Anna K. Prohl, Kush Kapur, et al.. (2018). Longitudinal Effects of Everolimus on White Matter Diffusion in Tuberous Sclerosis Complex. Pediatric Neurology. 90. 24–30. 21 indexed citations
7.
Srivastava, Siddharth, Anna K. Prohl, Benoît Scherrer, et al.. (2018). Cerebellar volume as an imaging marker of development in infants with tuberous sclerosis complex. Neurology. 90(17). e1493–e1500. 9 indexed citations
8.
Rensonnet, Gaëtan, Benoît Scherrer, Gabriel Girard, et al.. (2018). Towards microstructure fingerprinting: Estimation of tissue properties from a dictionary of Monte Carlo diffusion MRI simulations. NeuroImage. 184. 964–980. 27 indexed citations
9.
Eaton-Rosen, Zach, Benoît Scherrer, Andrew Melbourne, et al.. (2017). Investigating the maturation of microstructure and radial orientation in the preterm human cortex with diffusion MRI. NeuroImage. 162. 65–72. 19 indexed citations
10.
MacDougall, Robert, Benoît Scherrer, & Steven Don. (2017). Development of a tool to aid the radiologic technologist using augmented reality and computer vision. Pediatric Radiology. 48(1). 141–145. 3 indexed citations
11.
Marami, Bahram, Seyed Sadegh Mohseni Salehi, Onur Afacan, et al.. (2017). Temporal slice registration and robust diffusion-tensor reconstruction for improved fetal brain structural connectivity analysis. NeuroImage. 156. 475–488. 55 indexed citations
12.
Scherrer, Benoît, Armin Schwartzman, Maxime Taquet, et al.. (2016). Characterizing brain tissue by assessment of the distribution of anisotropic microstructural environments in diffusion‐compartment imaging (DIAMOND). Magnetic Resonance in Medicine. 76(3). 2 indexed citations
13.
Taquet, Maxime, Benoît Scherrer, Nicolas Boumal, et al.. (2015). Improved fidelity of brain microstructure mapping from single-shell diffusion MRI. Medical Image Analysis. 26(1). 268–286. 10 indexed citations
14.
Scherrer, Benoît, Armin Schwartzman, Maxime Taquet, et al.. (2013). Characterizing the DIstribution of Anisotropic MicrO-structural eNvironments with Diffusion-Weighted Imaging (DIAMOND). Lecture notes in computer science. 16(Pt 3). 518–526. 13 indexed citations
15.
Akhondi‐Asl, Alireza, et al.. (2012). Whole brain group network analysis using network bias and variance parameters. PubMed. 2012. 1511–1514. 2 indexed citations
16.
Hammond, David K., Benoît Scherrer, & Allen D. Malony. (2012). Incorporating anatomical connectivity into EEG source estimation via sparse approximation with cortical graph wavelets. 573–576. 5 indexed citations
17.
Peters, Jurriaan M., Mustafa Şahin, Vanessa Vogel‐Farley, et al.. (2011). Loss of White Matter Microstructural Integrity Is Associated with Adverse Neurological Outcome in Tuberous Sclerosis Complex. Academic Radiology. 19(1). 17–25. 103 indexed citations
18.
Scherrer, Benoît, Florence Forbes, Catherine Garbay, & Michel Dojat. (2009). Distributed Local MRF Models for Tissue and Structure Brain Segmentation. IEEE Transactions on Medical Imaging. 28(8). 1278–1295. 52 indexed citations
19.
Scherrer, Benoît, Florence Forbes, & Michel Dojat. (2009). A Conditional Random Field Approach for Coupling Local Registration with Robust Tissue and Structure Segmentation. Lecture notes in computer science. 12(Pt 2). 540–548. 1 indexed citations
20.
Delvaux, Michel, Dominique Louvel, Benoît Scherrer, B Fraitag, & Jacques Frexinos. (1995). The K-agonist fedotozine increases thresholds of first sensation and pain perception to colonic distension in patients with irritable bowel syndrome. Gastroenterology. 108(4). A590–A590. 13 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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