Thomas Mésnard

1.1k citations
50 papers · 309 · h-index 10

Impact in

Papers in

Thomas Mésnard

39 papers receiving 302 citations

Peers

Thomas Mésnard
Comparison fields: 5 of 54
  • Pulmonary and Respiratory Medicine 180
  • Cognitive Neuroscience 38
  • Health Informatics 2
  • Cardiology and Cardiovascular Medicine 25
  • Cellular and Molecular Neuroscience 16
Replace Xiaoyong Ren with:
Xiaoyong Ren China
Mads Lause Mogensen Denmark
Chaitanya Kolluru United States
Xiaochang Leng China
Chen-Chieh Liao Japan
Cindy Xue Hong Kong
Michael Pritchard Australia
Mengyuan Ding China
Tilendra Choudhary India
Aslak Wigdahl Bergersen Norway
Thomas Mésnard relative to Xiaoyong Ren China Xiaoyong Ren's profile →
Citations per field
00.5×2×3×4×4.6×
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 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201758
2 202330
3 202330
4 202126
5 202115
6 202314
7 202113
8 202312
9 202311
10 202111
11 202310
12 20218
13 20187
14 20226
15 20245
16 20224
17 20254
18 20244
19 20233
20 20233

About Thomas Mésnard

Thomas Mésnard is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Surgery, Cognitive Neuroscience and Critical Care and Intensive Care Medicine, having authored 50 papers that have together received 309 indexed citations. Recurring topics across this work include Aortic aneurysm repair treatments (33 papers), Aortic Disease and Treatment Approaches (11 papers), Cardiac, Anesthesia and Surgical Outcomes (6 papers), Vascular Procedures and Complications (4 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 (180 citations), Cognitive Neuroscience (38 citations), Health Informatics (2 citations), Cardiology and Cardiovascular Medicine (25 citations) and Cellular and Molecular Neuroscience (16 citations). Thomas Mésnard has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Jonathan Sobocinski, Yoshua Bengio, Yuhuai Wu, Asja Fischer, Saizheng Zhang, Benjamin Oliver Patterson, Richard Azzaoui, Stéphan Haulon, Aidin Baghbani‐Oskouei and Emanuel R. Tenorio. 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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