Bruno Scherrer

42 papers and 1.2k indexed citations i.

About

Bruno Scherrer is a scholar working on Artificial Intelligence, Public Health, Environmental and Occupational Health and Management Science and Operations Research. According to data from OpenAlex, Bruno Scherrer has authored 42 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 7 papers in Public Health, Environmental and Occupational Health and 7 papers in Management Science and Operations Research. Recurrent topics in Bruno Scherrer’s work include Reinforcement Learning in Robotics (13 papers), Reproductive Health and Contraception (6 papers) and Maternal and fetal healthcare (5 papers). Bruno Scherrer is often cited by papers focused on Reinforcement Learning in Robotics (13 papers), Reproductive Health and Contraception (6 papers) and Maternal and fetal healthcare (5 papers). Bruno Scherrer collaborates with scholars based in France, United States and United Kingdom. Bruno Scherrer's co-authors include Henri Mathé, Erin Gainer, André Ulmann, Anna Glasier, Diana Blithe, Sharon Cameron, Paul Fine, Jennifer Van Horn, Delphine Lévy and Jean‐Louis Abitbol and has published in prestigious journals such as The Lancet, Gastroenterology and Neurology.

In The Last Decade

Co-authorship network of co-authors of Bruno Scherrer i

Fields of papers citing papers by Bruno Scherrer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Bruno Scherrer

Since Specialization
Citations

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