Igor Bessières

483 total citations
30 papers, 341 citations indexed

About

Igor Bessières is a scholar working on Radiation, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Igor Bessières has authored 30 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Radiation, 13 papers in Pulmonary and Respiratory Medicine and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Igor Bessières's work include Advanced Radiotherapy Techniques (22 papers), Radiation Therapy and Dosimetry (10 papers) and Medical Imaging Techniques and Applications (9 papers). Igor Bessières is often cited by papers focused on Advanced Radiotherapy Techniques (22 papers), Radiation Therapy and Dosimetry (10 papers) and Medical Imaging Techniques and Applications (9 papers). Igor Bessières collaborates with scholars based in France, Australia and Croatia. Igor Bessières's co-authors include M. Edouard, Sophie Chiavassa, Alexandra Moignier, P. Olko, Liliana Stolarczyk, Željka Knežević, Saveta Miljanić, Hugo Bouchard, Jean‐François Aubry and Frédéric Lacroix and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, Physics in Medicine and Biology and Radiotherapy and Oncology.

In The Last Decade

Igor Bessières

30 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Igor Bessières France 9 282 186 172 77 19 30 341
Julia Publicover Canada 7 245 0.9× 174 0.9× 264 1.5× 63 0.8× 13 0.7× 14 368
Kate Ricketts United Kingdom 10 267 0.9× 186 1.0× 250 1.5× 154 2.0× 24 1.3× 20 426
Sina Mossahebi United States 11 270 1.0× 280 1.5× 143 0.8× 44 0.6× 9 0.5× 53 401
James I. Monroe United States 9 194 0.7× 128 0.7× 180 1.0× 77 1.0× 12 0.6× 23 321
Yukio Fujita Japan 11 353 1.3× 245 1.3× 287 1.7× 85 1.1× 8 0.4× 30 413
Landon S. Wootton United States 12 341 1.2× 269 1.4× 289 1.7× 117 1.5× 7 0.4× 31 479
Paul Z. Y. Liu Australia 11 231 0.8× 157 0.8× 196 1.1× 70 0.9× 14 0.7× 15 318
Jatinder Saini United States 12 384 1.4× 395 2.1× 132 0.8× 37 0.5× 15 0.8× 40 507
H Wooten United States 9 473 1.7× 309 1.7× 397 2.3× 64 0.8× 12 0.6× 38 533
Jie Shan United States 15 420 1.5× 442 2.4× 178 1.0× 40 0.5× 16 0.8× 19 523

Countries citing papers authored by Igor Bessières

Since Specialization
Citations

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

Fields of papers citing papers by Igor Bessières

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Igor Bessières

This figure shows the co-authorship network connecting the top 25 collaborators of Igor Bessières. A scholar is included among the top collaborators of Igor Bessières 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 Igor Bessières. Igor Bessières 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.
Caluwé, Alex De, Kim Cao, Vincent Remouchamps, et al.. (2025). Adapting radiation therapy to immunotherapy: Delineation and treatment planning of pre-operative immune-modulating breast iSBRT in 151 patients treated in the randomized phase II Neo-CheckRay trial. Radiotherapy and Oncology. 206. 110836–110836. 2 indexed citations
2.
Kortli, Yassin, R. de Crevoisier, Jason Dowling, et al.. (2025). Balancing data consistency and diversity: Preprocessing and online data augmentation for multi-center deep learning-based MR-to-CT synthesis. Pattern Recognition Letters. 189. 56–63. 2 indexed citations
3.
Lalande, Alain, et al.. (2024). Deep learning application for abdominal organs segmentation on 0.35 T MR-Linac images. Frontiers in Oncology. 13. 1285924–1285924. 2 indexed citations
4.
Dowling, Jason, Igor Bessières, Peter B. Greer, et al.. (2024). 3D Unsupervised deep learning method for magnetic resonance imaging-to-computed tomography synthesis in prostate radiotherapy. Physics and Imaging in Radiation Oncology. 31. 100612–100612. 1 indexed citations
5.
Bénali, Karim, Michael S. Lloyd, Igor Bessières, et al.. (2023). Cardiac stereotactic radiation therapy for refractory ventricular arrhythmias in patients with left ventricular assist devices. Journal of Cardiovascular Electrophysiology. 35(1). 206–213. 2 indexed citations
6.
Truc, G., et al.. (2023). Intra Fraction Organs at Risk Movements in Adaptive Radiotherapy of Upper-Abdominal Stereotactic Body Radiotherapy on 0.35 T MR-Linac. International Journal of Radiation Oncology*Biology*Physics. 117(2). e644–e645. 2 indexed citations
7.
Bessières, Igor, et al.. (2023). Online adaptive radiotherapy and dose delivery accuracy: A retrospective analysis. Journal of Applied Clinical Medical Physics. 24(8). e14005–e14005. 1 indexed citations
8.
9.
Nunes, Jean‐Claude, Jennifer Le Guévelou, Peter B. Greer, et al.. (2023). A deep learning model to generate synthetic CT for prostate MR-only radiotherapy dose planning: a multicenter study. Frontiers in Oncology. 13. 1279750–1279750. 8 indexed citations
10.
Dowling, Jason, Peter B. Greer, Igor Bessières, et al.. (2023). Computed tomography synthesis from magnetic resonance imaging using cycle Generative Adversarial Networks with multicenter learning. Physics and Imaging in Radiation Oncology. 28. 100511–100511. 9 indexed citations
11.
Mirjolet, Céline, et al.. (2023). Novel platform for subcutaneous tumor irradiation in mice. Methods in cell biology. 180. 69–80. 2 indexed citations
12.
13.
Walker, Paul M., et al.. (2022). Characterisation of a split gradient coil design induced systemic imaging artefact on 0.35 T MR-linac systems. Physics in Medicine and Biology. 68(1). 01NT03–01NT03. 4 indexed citations
14.
Delpon, G., et al.. (2022). Que faut-il pour faire de la radiothérapie adaptative « online » ?. Cancer/Radiothérapie. 26(6-7). 794–802. 1 indexed citations
15.
Crevoisier, R. de, et al.. (2021). Image-guided radiotherapy. Cancer/Radiothérapie. 26(1-2). 34–49. 19 indexed citations
16.
Bessières, Igor, et al.. (2021). Radiothérapie hypofractionnée extrême du cancer du pancréas. Cancer/Radiothérapie. 25(6-7). 692–698. 1 indexed citations
17.
Huguet, F., et al.. (2021). Radiation therapy of pancreatic cancers. Cancer/Radiothérapie. 26(1-2). 259–265. 7 indexed citations
18.
Peignaux-Casasnovas, K., et al.. (2021). How to Treat Double Synchronous Abdominal Metastases With Stereotactic MR-Guided Adaptive Radiation Therapy (SMART)?. International Journal of Radiation Oncology*Biology*Physics. 111(3). e538–e539. 2 indexed citations
19.
Lalande, Alain, Igor Bessières, N. Pierrat, et al.. (2018). Inferring postimplant dose distribution of salvage permanent prostate implant (PPI) after primary PPI on CT images. Brachytherapy. 17(6). 866–873. 3 indexed citations
20.
Aubry, Jean‐François, Hugo Bouchard, Igor Bessières, & Frédéric Lacroix. (2011). Validation of an electron Monte Carlo dose calculation algorithm in the presence of heterogeneities using EGSnrc and radiochromic film measurements. Journal of Applied Clinical Medical Physics. 12(4). 2–14. 20 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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