Vinçent Pérot

455 citations
12 papers · 296 · h-index 7

Impact in

    • Chronic Obstructive Pulmonary Disease (COPD) Research
    • Lung Cancer Diagnosis and Treatment
    • Renal and Vascular Pathologies
    • Respiratory Support and Mechanisms
    • Tuberous Sclerosis Complex Research
    • Asthma and respiratory diseases

Papers in

Vinçent Pérot

12 papers receiving 289 citations

Peers

Vinçent Pérot
Comparison fields: 5 of 55
  • Pulmonary and Respiratory Medicine 154
  • Physiology 60
  • Radiology, Nuclear Medicine and Imaging 49
  • Transplantation 3
  • Nephrology 7
Replace Heidi Coy with:
Heidi Coy United States
Elizabeth E. Carretta United States
Jo‐Yu Chen Taiwan
Akira Iwashima Japan
Elzbieta Grebski Switzerland
Ana Isabel Santos Portugal
Eleonora Meoni Italy
Nuno Lousada Portugal
Pim A. de Jong Netherlands
Guillaume R. P. Thelissen Netherlands
Vinçent Pérot relative to Heidi Coy United States Heidi Coy's profile →
Citations per field
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Heidi Coy · 1×
Citations per year

Countries citing papers authored by Vinçent Pérot

Since Specialization
Citations

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

Fields of papers citing papers by Vinçent Pérot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Vinçent Pérot, 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 Vinçent Pérot Line = papers co-authored together Vinçent Pérot links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2005116
2 200344
3 200532
4 201031
5 200627
6 201018
7 202411
8 20085
9 20224
10 20233
11 20233
12 20042

About Vinçent Pérot

Vinçent Pérot is a scholar working on Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 12 papers that have together received 296 indexed citations. Recurring topics across this work include Renal and Vascular Pathologies (3 papers), MRI in cancer diagnosis (2 papers), Handwritten Text Recognition Techniques (2 papers), Natural Language Processing Techniques (2 papers), Venous Thromboembolism Diagnosis and Management (1 paper), Renal cell carcinoma treatment (1 paper), Advanced Database Systems and Queries (1 paper) and Genetic and Kidney Cyst Diseases (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (154 citations), Physiology (60 citations), Radiology, Nuclear Medicine and Imaging (49 citations), Transplantation (3 citations) and Nephrology (7 citations). Vinçent Pérot has collaborated with scholars based in France, United States and Mexico. Frequent co-authors include Roger Marthan, François Laurent, Patrick Berger, Pascal Desbarats, José Manuel Tunon-de-Lara, N. Grenier, Olivier Hauger, J. Manuel Tunon‐de‐Lara, Mathiéu Molimard and Hugues Bégueret. Their work appears in journals such as Radiology, Zeitschrift für Medizinische Physik, American Journal of Transplantation, Seminars in Nuclear Medicine and Urology.

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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