Jakob Foerster

31 papers and 1.8k indexed citations i.

About

Jakob Foerster is a scholar working on Artificial Intelligence, Management Science and Operations Research and Statistical and Nonlinear Physics. According to data from OpenAlex, Jakob Foerster has authored 31 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 7 papers in Management Science and Operations Research and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Jakob Foerster’s work include Reinforcement Learning in Robotics (14 papers), Adversarial Robustness in Machine Learning (4 papers) and Topic Modeling (3 papers). Jakob Foerster is often cited by papers focused on Reinforcement Learning in Robotics (14 papers), Adversarial Robustness in Machine Learning (4 papers) and Topic Modeling (3 papers). Jakob Foerster collaborates with scholars based in United Kingdom, United States and Israel. Jakob Foerster's co-authors include Shimon Whiteson, Gregory Farquhar, Nantas Nardelli, Triantafyllos Afouras, Nando de Freitas, Arseny Finkelstein, Liora Las, Nachum Ulanovsky, Alon Rubin and Dori Derdikman and has published in prestigious journals such as Nature, PLoS ONE and Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Jakob Foerster i

Fields of papers citing papers by Jakob Foerster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jakob Foerster

Since Specialization
Citations

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