Pascal Haigron

115 papers receiving 1.6k citations

Peers

Pascal Haigron
Comparison fields: 5 of 110
  • Radiation 469
  • Otorhinolaryngology 85
  • Pulmonary and Respiratory Medicine 517
  • Radiology, Nuclear Medicine and Imaging 321
  • Computer Vision and Pattern Recognition 288
Replace Tanja Alderliesten with:
Tanja Alderliesten Netherlands
Christian Thieke Germany
Vladimír Pekar Germany
Aaron D. Ward Canada
Pretesh Patel United States
Annette Haworth Australia
Xuejun Gu United States
Yong Yin China
Juergen Meyer United States
Yulong Yan United States
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Citations per field
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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 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015124
2 2019103
3 201364
4 201061
5 201555
6 201048
7 201647
8 201346
9 200645
10 201244
11 201644
12 201642
13 200939
14 201637
15 201836
16 201536
17 201431
18 201828
19 201528
20 201624

About Pascal Haigron

Pascal Haigron is a scholar working on Biomedical Engineering, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition, Radiation and Radiology, Nuclear Medicine and Imaging, having authored 125 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (26 papers), Medical Image Segmentation Techniques (22 papers), Aortic aneurysm repair treatments (18 papers), Medical Imaging Techniques and Applications (15 papers), Medical Imaging and Analysis (12 papers), Cardiac Valve Diseases and Treatments (11 papers), Cerebrovascular and Carotid Artery Diseases (10 papers) and Aortic Disease and Treatment Approaches (9 papers). The work is most often cited by research in Radiation (469 citations), Otorhinolaryngology (85 citations), Pulmonary and Respiratory Medicine (517 citations), Radiology, Nuclear Medicine and Imaging (321 citations) and Computer Vision and Pattern Recognition (288 citations). Pascal Haigron has collaborated with scholars based in France, China and United States. Frequent co-authors include Antoine Simon, R. de Crevoisier, Oscar Acosta, C. Lafond, Adrien Kaladji, J. Castelli, Guillaume Cazoulat, Huazhong Shu, Juan David Ospina and B. Rigaud. Their work appears in journals such as International Journal for Numerical Methods in Biomedical Engineering, Radiotherapy and Oncology, Computerized Medical Imaging and Graphics, International Journal of Radiation Oncology*Biology*Physics and Physics in Medicine and Biology.

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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