Michaël Sauthier

27 papers receiving 252 citations

Peers

Michaël Sauthier
Comparison fields: 5 of 57
  • Critical Care and Intensive Care Medicine 32
  • Health Informatics 10
  • Pulmonary and Respiratory Medicine 113
  • Emergency Medicine 20
  • Family Practice 4
Replace Ali Hasan with:
Ali Hasan Egypt
Vincent J. Major United States
Michaël Cardinale France
Anne-Laure Fedou France
Pauline Darbellay Farhoumand Switzerland
Alix Aubry France
David Prater United States
Filipe Gonzalez Portugal
Daisuke Kasugai Japan
Kerry Breen United States
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Citations per year

Countries citing papers authored by Michaël Sauthier

Since Specialization
Citations

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

Fields of papers citing papers by Michaël Sauthier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201934
2 201630
3 201829
4 201823
5 202119
6 202011
7 202011
8 202311
9 202110
10 20228
11 20197
12 20206
13 20156
14 20235
15 20235
16 20215
17 20234
18 20234
19 20234
20 20204

About Michaël Sauthier

Michaël Sauthier is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Epidemiology, Critical Care and Intensive Care Medicine and Artificial Intelligence, having authored 29 papers that have together received 253 indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (8 papers), Hemodynamic Monitoring and Therapy (3 papers), Neonatal Respiratory Health Research (3 papers), Sepsis Diagnosis and Treatment (3 papers), Machine Learning in Healthcare (2 papers), Tracheal and airway disorders (2 papers), Congenital Diaphragmatic Hernia Studies (2 papers) and Cardiac Arrest and Resuscitation (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (32 citations), Health Informatics (10 citations), Pulmonary and Respiratory Medicine (113 citations), Emergency Medicine (20 citations) and Family Practice (4 citations). Michaël Sauthier has collaborated with scholars based in Canada, France and Japan. Frequent co-authors include Philippe Jouvet, David Brossier, Guillaume Émériaud, Louise Rose, Adrienne G. Randolph, Rita Noumeir, Wassim Bouachir, Atsushi Kawaguchi, Josée Dubois and John S. Brownstein. Their work appears in journals such as Pediatric Critical Care Medicine, Journal of Evaluation in Clinical Practice, Transfusion, Journal of the American Medical Informatics Association and Clinical and investigative medicine.

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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