Thomas Desautels

11 papers and 656 indexed citations i.

About

Thomas Desautels is a scholar working on Artificial Intelligence, Epidemiology and Surgery. According to data from OpenAlex, Thomas Desautels has authored 11 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Epidemiology and 2 papers in Surgery. Recurrent topics in Thomas Desautels’s work include Sepsis Diagnosis and Treatment (5 papers), Machine Learning in Healthcare (4 papers) and Advanced Bandit Algorithms Research (2 papers). Thomas Desautels is often cited by papers focused on Sepsis Diagnosis and Treatment (5 papers), Machine Learning in Healthcare (4 papers) and Advanced Bandit Algorithms Research (2 papers). Thomas Desautels collaborates with scholars based in United States, United Kingdom and Switzerland. Thomas Desautels's co-authors include Ritankar Das, Jacob Calvert, Joel W. Burdick, Andreas Krause, Melissa Jay, Uli K. Chettipally, Jana Hoffman, David J. Wales, Yaniv Kerem and Chris W. Barton and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Biomedical Engineering and Journal of Machine Learning Research.

In The Last Decade

Co-authorship network of co-authors of Thomas Desautels i

Fields of papers citing papers by Thomas Desautels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Thomas Desautels

Since Specialization
Citations

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

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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2025