Ronald Ortner

2.4k citations
28 papers · 516 · h-index 10

Impact in

Papers in

Ronald Ortner

24 papers receiving 476 citations

Peers

Ronald Ortner
Comparison fields: 5 of 65
  • Management Science and Operations Research 303
  • Artificial Intelligence 361
  • Computer Networks and Communications 106
  • Computational Theory and Mathematics 53
  • General Decision Sciences 6
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Citations per year

Countries citing papers authored by Ronald Ortner

Since Specialization
Citations

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

Fields of papers citing papers by Ronald Ortner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Ronald Ortner, 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 Ronald Ortner Line = papers co-authored together Ronald Ortner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Near-optimal Regret Bounds for Reinforcement Learning
2010200
2 2010112
3
Near-optimal Regret Bounds for Reinforcement Learning
200859
4
PAC-Bayesian Analysis of Contextual Bandits
201119
5
Adaptively Tracking the Best Bandit Arm with an Unknown Number of Distribution Changes
201919
6 200718
7
Pareto Front Identification from Stochastic Bandit Feedback
201614
8 201612
9 201212
10 20149
11 20107
12 20066
13
Variational Regret Bounds for Reinforcement Learning
20195
14 20205
15 20224
16
Algorithmic Learning Theory: 27th International Conference, ALT 2016 Bari, Italy, October 19-21, 2016 Proceedings
20163
17 20102
18
An arrangement of pseudocircles not realizable with circles
20052
19 20082
20 20221

About Ronald Ortner

Ronald Ortner is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computer Networks and Communications, Electrical and Electronic Engineering and Computational Theory and Mathematics, having authored 28 papers that have together received 516 indexed citations. Recurring topics across this work include Advanced Bandit Algorithms Research (13 papers), Reinforcement Learning in Robotics (12 papers), Machine Learning and Algorithms (5 papers), Optimization and Search Problems (3 papers), Smart Grid Energy Management (3 papers), Computational Geometry and Mesh Generation (2 papers), Advanced Graph Theory Research (2 papers) and Distributed Sensor Networks and Detection Algorithms (1 paper). The work is most often cited by research in Management Science and Operations Research (303 citations), Artificial Intelligence (361 citations), Computer Networks and Communications (106 citations), Computational Theory and Mathematics (53 citations) and General Decision Sciences (6 citations). Ronald Ortner has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Peter Auer, Wolfgang Woess, Pratik Gajane, Sandra Zilles, Hans Ulrich Simon, François Laviolette, Chao-Kai Chiang, Mădălina M. Drugan, Yevgeny Seldin and John Shawe‐Taylor. Their work appears in journals such as Theoretical Computer Science, Minds and Machines, Operations Research Letters, European Journal of Combinatorics and Canadian Journal of Mathematics.

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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