Improved Algorithms for Linear Stochastic Bandits
Impact in
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- Neural Information Processing Systems
In The Last Decade
doi.org/w4432028 →Countries where authors are citing Improved Algorithms for Linear Stochastic Bandits
This map shows the geographic impact of Improved Algorithms for Linear Stochastic Bandits. 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 Improved Algorithms for Linear Stochastic Bandits with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Improved Algorithms for Linear Stochastic Bandits more than expected).
Fields of papers citing Improved Algorithms for Linear Stochastic Bandits
This network shows the impact of Improved Algorithms for Linear Stochastic Bandits. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Improved Algorithms for Linear Stochastic Bandits.
About Improved Algorithms for Linear Stochastic Bandits
This paper, published in 2011, received 314 indexed citations . Written by Yasin Abbasi-Yadkori, Dávid Pál and Csaba Szepesvári covering the research area of Computer Networks and Communications, Artificial Intelligence and Management Science and Operations Research. It is primarily cited by scholars working on Management Science and Operations Research (277 citations), Artificial Intelligence (193 citations), Computer Networks and Communications (94 citations), Electrical and Electronic Engineering (67 citations) and Information Systems (37 citations). Published in Neural Information Processing Systems.
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.
This paper is also available at doi.org/w4432028.