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).
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-authorship network of co-authors of Bruno Scherrer
This figure shows the co-authorship network connecting the top 25 collaborators of Bruno Scherrer.
A scholar is included among the top collaborators of Bruno Scherrer based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Bruno Scherrer. Bruno Scherrer is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Scherrer, Bruno, et al.. (2019). A Theory of Regularized Markov Decision Processes. HAL (Le Centre pour la Communication Scientifique Directe).6 indexed citations
4.
Dalal, Gal, et al.. (2018). Multiple-Step Greedy Policies in Approximate and Online Reinforcement Learning. Neural Information Processing Systems. 31. 5238–5247.5 indexed citations
Scherrer, Bruno. (2013). Performance bounds for λ policy iteration and application to the game of Tetris. Journal of Machine Learning Research. 14(1). 1181–1227.2 indexed citations
8.
Scherrer, Bruno, et al.. (2010). Least-Squares Policy Iteration: Bias-Variance Trade-off in Control Problems. International Conference on Machine Learning. 1071–1078.14 indexed citations
Scherrer, Bruno & Shie Mannor. (2008). Error Reducing Sampling in Reinforcement Learning. HAL (Le Centre pour la Communication Scientifique Directe). 15.1 indexed citations
Scherrer, Bruno. (2003). Modular self-organization for a long-living autonomous agent. HAL (Le Centre pour la Communication Scientifique Directe). 1440–1442.1 indexed citations
13.
Chadès, Iadine, Bruno Scherrer, & François Charpillet. (2003). Planning Cooperative Homogeneous Multiagent System Using Markov Decision Processes. HAL (Le Centre pour la Communication Scientifique Directe). 426–429.2 indexed citations
14.
Scherrer, Bruno. (2003). Parallel asynchronous distributed computations of optimal control in large state space Markov Decision Processes. HAL (Le Centre pour la Communication Scientifique Directe). 325–330.1 indexed citations
15.
Scherrer, Bruno, et al.. (2001). Learning to use contextual information for solving POMDP. HAL (Le Centre pour la Communication Scientifique Directe).
Schranz, Jennifer, et al.. (1970). [Effectiveness and possibilities of application to ambulatory patients in our region of a pulmonary tuberculosis therapy by the intermittent administration (I.V.) of the triple association isoniazid-streptomycin-PAS (preliminary results after a year)].. PubMed. 34(3). 439–53.
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.