Paul Fischer

6.5k citations
50 papers · 3.5k indexed · 1 hit paper · h-index 14

Paul Fischer

45 papers receiving 3.3k citations

Hit Papers

Finite-time Analysis of the Multiarmed Bandit Problem3.1k200220262010201810002.0k3.0k

Peers

Paul Fischer
Comparison fields: 5 of 158
  • Management Science and Operations Research 1.8k
  • Artificial Intelligence 1.8k
  • Computer Networks and Communications 1.0k
  • Computer Science Applications 168
  • General Decision Sciences 25
Replace Yevgeniy Dodis with:
Yevgeniy Dodis United States
Benjamin Van Roy United States
Bruno Codenotti Italy
Joan Feigenbaum United States
Bernhard von Stengel United Kingdom
Robert Kleinberg United States
Gerald Tesauro United States
Adam Tauman Kalai United States
Satyen Kale United States
Nicole Immorlica United States
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Citations per field
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Yevgeniy Dodis · 1×
Citations per year

Countries citing papers authored by Paul Fischer

Since Specialization
Citations

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

Fields of papers citing papers by Paul Fischer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20230
2 20111
3 200912
4 200416
5 20021
6 20011
7 19998
8 19992
9 19998
10
Finite-Time Regret Bounds for the Multiarmed Bandit Problem
199831
11 19965
12
Learning unions of convex polygons
19942
13
Trial and error: a new approach to space-bounded learning
19942
14 199411
15 19920
16 198948
17 198921
18 19882
19 19807
20 197924

About Paul Fischer

Paul Fischer is a scholar working on Artificial Intelligence, Architecture, Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics and Statistics and Probability, having authored 50 papers that have together received 3.5k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (14 papers), Algorithms and Data Compression (6 papers), Optimization and Search Problems (6 papers), Machine Learning and Data Classification (5 papers), HIV/AIDS drug development and treatment (4 papers), Biochemical and Molecular Research (3 papers), Reinforcement Learning in Robotics (3 papers) and Optimization and Variational Analysis (2 papers). The work is most often cited by research in Management Science and Operations Research (1.8k citations), Artificial Intelligence (1.8k citations), Computer Networks and Communications (1.0k citations), Computer Science Applications (168 citations) and General Decision Sciences (25 citations). Paul Fischer has collaborated with scholars based in Germany, United States and Denmark. Frequent co-authors include Nicolò Cesa‐Bianchi, Peter Auer, Jean L. Grem, William H. Prusoff, Hans Ulrich Simon, Ming S. Chen, Tai‐Shun Lin, Tai‐Shun Lin, Thorsten Joachims and Andreas Christmann. Their work appears in journals such as Biochemical Pharmacology, Information and Computation, Pharmacology & Therapeutics, Journal of Symbolic Logic and Computational Geometry.

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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