Pascal Haigron

133 papers receiving 1.9k citations

Peers

Pascal Haigron
Comparison fields: 5 of 94
  • Radiation 748
  • Computer Vision and Pattern Recognition 582
  • Pulmonary and Respiratory Medicine 355
  • Health Informatics 20
  • Radiology, Nuclear Medicine and Imaging 134
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Deshan Yang United States
Pieter Slagmolen Belgium
Laura Cerviño United States
Marco Riboldi Italy
Jovan G. Brankov United States
Jamie R. McClelland United Kingdom
Tanja Alderliesten Netherlands
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Christine A. Tanner Switzerland
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Citations per year

Countries citing papers authored by Pascal Haigron

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Haigron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pascal Haigron, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pascal Haigron Line = papers co-authored together Pascal Haigron links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 146 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015132
2 2019112
3 201067
4 201367
5 201558
6 201052
7 201651
8 200648
9 201348
10 201246
11 200945
12 201643
13 201642
14 201640
15 201839
16 201137
17 201537
18 201434
19 201529
20 201628

About Pascal Haigron

Pascal Haigron is a scholar working on Radiation, Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine, Biomedical Engineering and Cardiology and Cardiovascular Medicine, having authored 146 papers that have together received 1.9k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (48 papers), Advanced Radiotherapy Techniques (46 papers), Anatomy and Medical Technology (17 papers), Aortic aneurysm repair treatments (16 papers), Cardiac Valve Diseases and Treatments (11 papers), Aortic Disease and Treatment Approaches (8 papers), Surgical Simulation and Training (7 papers) and Computer Graphics and Visualization Techniques (6 papers). The work is most often cited by research in Radiation (748 citations), Computer Vision and Pattern Recognition (582 citations), Pulmonary and Respiratory Medicine (355 citations), Health Informatics (20 citations) and Radiology, Nuclear Medicine and Imaging (134 citations). Pascal Haigron has collaborated with scholars based in France, China and Colombia. Frequent co-authors include R. de Crevoisier, Antoine Simon, Oscar Acosta, Guillaume Cazoulat, Caroline Lafond, Adrien Kaladji, Joël Castelli, Juan David Ospina, Huazhong Shu and Limin Luo. Their work appears in journals such as International Journal for Numerical Methods in Biomedical Engineering, International Journal of Radiation Oncology*Biology*Physics, Physics in Medicine and Biology, Computerized Medical Imaging and Graphics and International Journal of Computer Assisted Radiology and Surgery.

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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