Peter Auer

26.2k citations
234 papers · 10.9k indexed · 5 hit papers · h-index 39

Peter Auer

209 papers receiving 9.8k citations

Hit Papers

Using confidence bounds for exploitation-exploration trad...649199920262008201710002.0k3.0k

Peers

Peter Auer
Comparison fields: 5 of 188
  • Linguistics and Language 1.6k
  • Management Science and Operations Research 3.4k
  • Language and Linguistics 2.1k
  • Artificial Intelligence 3.9k
  • Computer Networks and Communications 1.8k
Replace Dan Jurafsky with:
Dan Jurafsky United States
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Hinrich Schütze Germany
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Citations per field
00.5×9.1×
Dan Jurafsky · 1×
Citations per year

Countries citing papers authored by Peter Auer

Since Specialization
Citations

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

Fields of papers citing papers by Peter Auer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20240
3 20244
4 201827
5
An algorithm with nearly optimal pseudo-regret for both stochastic and adversarial bandits
20165
6 20130
7
Evaluation and Analysis of the Performance of the EXP3 Algorithm in Stochastic Environments
201317
8
Autonomous Exploration For Navigating In MDPs
20123
9 20110
10 20102
11 200759
12
Decent work in Denmark: employment, social efficiency and economic security
200313
13
InfoSky: Visual Exploration of Large Hierarchical Document Repositories
20034
14 200290
15
The future of work, employment and social protection : the dynamics of change and the protection of workers : Proceedings of the France/ILO symposium, Lyon 2002
20021
16
Intonation regionaler Varietäten des Deutschen. Vorstellung eines Forschungsprojekts
20005
17
Learning of Depth Two Neural Networks with Constant Fan-in at the Hidden Nodes
20002
18
From Context to Contextualization
199627
19
Exponentially many local minima for single neurons
199558
20
Nuclear power, coal, and energy conservation: with a note on the cost of a nuclear moratorium
19761

About Peter Auer

Peter Auer is a scholar working on Language and Linguistics, Linguistics and Language and Industrial relations, having authored 234 papers that have together received 10.9k indexed citations. Recurring topics across this work include Linguistic research and analysis (41 papers), Machine Learning and Algorithms (26 papers), Language, Discourse, Communication Strategies (26 papers), Advanced Bandit Algorithms Research (26 papers), Linguistic Variation and Morphology (25 papers), Linguistic Education and Pedagogy (16 papers), Linguistics, Language Diversity, and Identity (15 papers) and Reinforcement Learning in Robotics (15 papers). The work is most often cited by research in Linguistics and Language (1.6k citations), Management Science and Operations Research (3.4k citations) and Language and Linguistics (2.1k citations). Peter Auer has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Nicolò Cesa‐Bianchi, Paul Fischer, Ursula Lanvers, Yoav Freund, Robert E. Schapire, Ronald Ortner, John G. Kirkwood, J. E. Allen, J. E. Crow and Axel Pinz. Their work appears in journals such as Machine Learning, The Journal of Chemical Physics, Journal of Applied Physics, Theoretical Computer Science and Language Sciences.

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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