Benoît Presles

28 papers and 285 indexed citations i.

About

Benoît Presles is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Benoît Presles has authored 28 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Pulmonary and Respiratory Medicine and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Benoît Presles’s work include Aortic Disease and Treatment Approaches (6 papers), Medical Image Segmentation Techniques (6 papers) and Advanced Radiotherapy Techniques (6 papers). Benoît Presles is often cited by papers focused on Aortic Disease and Treatment Approaches (6 papers), Medical Image Segmentation Techniques (6 papers) and Advanced Radiotherapy Techniques (6 papers). Benoît Presles collaborates with scholars based in France, United Kingdom and Italy. Benoît Presles's co-authors include Johan Debayle, Jean‐Charles Pinoli, Simon Rit, David Sarrut, Gilles Févotte, Marie‐Claude Biston, P. Pommier, Alain Lalande, Hatem A. Rashwan and Vivek Kumar Singh and has published in prestigious journals such as Scientific Reports, Acta Biomaterialia and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Benoît Presles i

Fields of papers citing papers by Benoît Presles

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Benoît Presles. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Benoît Presles may publish in the future.

Countries citing papers authored by Benoît Presles

Since Specialization
Citations

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

Rankless by CCL
2025