Maxime Sermesant

12.0k citations
265 papers · 6.2k · h-index 41

Impact in

Papers in

Maxime Sermesant

259 papers receiving 6.1k citations

Peers

Maxime Sermesant
Comparison fields: 5 of 134
  • Cardiology and Cardiovascular Medicine 3.2k
  • Radiology, Nuclear Medicine and Imaging 2.2k
  • Computational Mathematics 47
  • Modeling and Simulation 241
  • Computer Vision and Pattern Recognition 1.1k
Replace Vicente Grau with:
Vicente Grau United Kingdom
Kawal Rhode United Kingdom
Gernot Plank Austria
Tommaso Mansi United States
Natalia A. Trayanova United States
Óscar Cámara Spain
Jean-Louis Coatrieux France
Bruce H. Smaill New Zealand
Elsa D. Angelini France
Sandy Napel United States
Maxime Sermesant relative to Vicente Grau United Kingdom Vicente Grau's profile →
Citations per field
00.5×11.8×
Vicente Grau · 1×
Citations per year

Countries citing papers authored by Maxime Sermesant

Since Specialization
Citations

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

Fields of papers citing papers by Maxime Sermesant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 265 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005292
2 2017242
3 2009193
4 2016180
5 2011175
6 2006158
7 2005143
8 2010135
9 2006120
10 2021116
11 2007109
12 201894
13 201593
14 201392
15 201691
16 200591
17 200387
18 201186
19 201685
20 201280

About Maxime Sermesant

Maxime Sermesant is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine, having authored 265 papers that have together received 6.2k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (95 papers), Cardiac electrophysiology and arrhythmias (83 papers), Advanced MRI Techniques and Applications (80 papers), Cardiac Imaging and Diagnostics (45 papers), Elasticity and Material Modeling (42 papers), Cardiac Arrhythmias and Treatments (32 papers), Cardiac Valve Diseases and Treatments (29 papers) and Medical Image Segmentation Techniques (26 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (3.2k citations), Radiology, Nuclear Medicine and Imaging (2.2k citations), Computational Mathematics (47 citations), Modeling and Simulation (241 citations) and Computer Vision and Pattern Recognition (1.1k citations). Maxime Sermesant has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Hervé Delingette, Nicholas Ayache, Xavier Pennec, Reza Razavi, Hubert Cochet, Kawal Rhode, Tommaso Mansi, Pierre Jaı̈s, Jean‐Marc Peyrat and Marc-Michel Rohé. Their work appears in journals such as IEEE Transactions on Medical Imaging, Medical Image Analysis, Lecture notes in computer science, IEEE Transactions on Biomedical Engineering and Journal of Cardiovascular Electrophysiology.

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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