Bruno Scherrer

3.7k citations
54 papers · 1.6k · h-index 17

Impact in

Papers in

Bruno Scherrer

50 papers receiving 1.4k citations

Peers

Bruno Scherrer
Comparison fields: 5 of 139
  • Gastroenterology 197
  • Public Health, Environmental and Occupational Health 598
  • Obstetrics and Gynecology 137
  • Health Informatics 23
  • Pediatrics, Perinatology and Child Health 230
Replace Liqin Wang with:
Liqin Wang United States
Tahmina Nasrin Poly Taiwan
M. Patricia Rosas‐Arellano Canada
Xingyu Zhang United States
Christian Ohmann Germany
Chien‐Yeh Hsu Taiwan
Carolina Riveros France
João Bernardes Portugal
Amos Katz Israel
Kit C. B. Roes Netherlands
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Citations per field
00.5×10.9×
Liqin Wang · 1×
Citations per year

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).

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.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010351
2 2011200
3 1999139
4 1999132
5 199998
6 199990
7 200072
8 201462
9 202058
10 201154
11 200925
12 201724
13 200924
14 201019
15 200217
16
Biasing Approximate Dynamic Programming with a Lower Discount Factor
200817
17 201316
18 201516
19 201715
20
Least-Squares Policy Iteration: Bias-Variance Trade-off in Control Problems
201014

About Bruno Scherrer

Bruno Scherrer is a scholar working on Artificial Intelligence, Management Science and Operations Research, Public Health, Environmental and Occupational Health, Computational Theory and Mathematics and Computer Networks and Communications, having authored 54 papers that have together received 1.6k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (19 papers), Reproductive Health and Contraception (6 papers), Machine Learning and Algorithms (6 papers), Optimization and Search Problems (4 papers), Artificial Intelligence in Games (4 papers), Auction Theory and Applications (4 papers), Evolutionary Algorithms and Applications (4 papers) and Advanced Bandit Algorithms Research (3 papers). The work is most often cited by research in Gastroenterology (197 citations), Public Health, Environmental and Occupational Health (598 citations), Obstetrics and Gynecology (137 citations), Health Informatics (23 citations) and Pediatrics, Perinatology and Child Health (230 citations). Bruno Scherrer has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Erin Gainer, André Ulmann, Henri Mathé, Anna Glasier, Diana Blithe, Sharon Cameron, Paul Fine, Jennifer Van Horn, Jean‐Louis Abitbol and Delphine Lévy. Their work appears in journals such as Contraception, Statistics in Medicine, Gut, Operations Research Letters and European Journal of Anaesthesiology.

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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