Thomas Mésnard

1.1k citations
42 papers · 226 · h-index 8

Impact in

Papers in

Thomas Mésnard

33 papers receiving 224 citations

Peers

Thomas Mésnard
Comparison fields: 5 of 54
  • Pulmonary and Respiratory Medicine 115
  • Cognitive Neuroscience 35
  • Artificial Intelligence 28
  • Cardiology and Cardiovascular Medicine 17
  • Cellular and Molecular Neuroscience 15
Replace Xiaoyong Ren with:
Xiaoyong Ren China
Majid Pouladian Iran
Chen-Chieh Liao Japan
A. Thirunavuukarasuu Singapore
Chaitanya Kolluru United States
Tucker Tomlinson United States
Tai Le United States
Khaled Alsaih France
Stefan Büttner Netherlands
Paul Jahnke Germany
Thomas Mésnard relative to Xiaoyong Ren China Xiaoyong Ren's profile →
Citations per field
00.5×3.3×
Xiaoyong Ren · 1×
Citations per year

Countries citing papers authored by Thomas Mésnard

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Mésnard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201752
2 202327
3 202121
4 202112
5 202312
6 202111
7 202311
8 202110
9 20237
10 20217
11 20186
12 20225
13 20243
14 20233
15 20243
16 20233
17 20223
18 20233
19 20243
20 20193

About Thomas Mésnard

Thomas Mésnard is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Surgery, Artificial Intelligence and Electrical and Electronic Engineering, having authored 42 papers that have together received 226 indexed citations. Recurring topics across this work include Aortic aneurysm repair treatments (28 papers), Aortic Disease and Treatment Approaches (9 papers), Cardiac, Anesthesia and Surgical Outcomes (6 papers), Vascular Procedures and Complications (3 papers), Infectious Aortic and Vascular Conditions (3 papers), Advanced Memory and Neural Computing (3 papers), Neural dynamics and brain function (2 papers) and Neural Networks and Reservoir Computing (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (115 citations), Cognitive Neuroscience (35 citations), Artificial Intelligence (28 citations), Cardiology and Cardiovascular Medicine (17 citations) and Cellular and Molecular Neuroscience (15 citations). Thomas Mésnard has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Jonathan Sobocinski, Yoshua Bengio, Saizheng Zhang, Asja Fischer, Yuhuai Wu, Benjamin O. Patterson, Richard Azzaoui, Aidin Baghbani‐Oskouei, Emanuel R. Tenorio and Aleem K. Mirza. Their work appears in journals such as Journal of Vascular Surgery, European Journal of Vascular and Endovascular Surgery, Annals of Vascular Surgery, The Journal of Cardiovascular Surgery and Journal of Endovascular Therapy.

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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