Thodoris Lykouris
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- Advanced Bandit Algorithms Research 10
- Auction Theory and Applications 4
- Game Theory and Applications 2
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- Sharing Economy and Platforms 1
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- Machine Learning and Algorithms 6
- Reinforcement Learning in Robotics 2
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- Economic theories and models 2
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- Supply Chain and Inventory Management 1
- Co-authors
- Daniel FreundSiddhartha BanerjeeVahab MirrokniRenato Paes LemeNikhil R. DevanurShuchi ChawlaSuriya GunasekarRobert E. Schapire
- Journals
- Operations Research (3 papers)Mathematics of Operations Research (1 paper)arXiv (Cornell University) (3 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Thodoris Lykouris
12 papers receiving 100 citations
Peers
Comparison fields: 5 of 28
- Management Science and Operations Research 50
- Transportation 21
- Marketing 23
- Automotive Engineering 30
- Computer Networks and Communications 27
Countries citing papers authored by Thodoris Lykouris
This map shows the geographic impact of Thodoris Lykouris'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 Thodoris Lykouris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thodoris Lykouris more than expected).
Fields of papers citing papers by Thodoris Lykouris
This network shows the impact of papers produced by Thodoris Lykouris. 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 Thodoris Lykouris. The network helps show where Thodoris Lykouris may publish in the future.
Co-authorship network
The 24 scholars most cited alongside Thodoris Lykouris, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 6 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 4 | |
| 5 | 2022 | 2 | |
| 6 | 2022 | 5 | |
| 7 | Bayesian decision-making under misspecified priors with applications to meta-learning | 2021 | 1 |
| 8 | Corrupted Multidimensional Binary Search: Learning in the Presence of Irrational Agents | 2020 | 0 |
| 9 | 2019 | 1 | |
| 10 | On preserving non-discrimination when combining expert advice | 2018 | 2 |
| 11 | 2018 | 36 | |
| 12 | 2017 | 38 | |
| 13 | Learning in Games: Robustness of Fast Convergence | 2016 | 3 |
About Thodoris Lykouris
Thodoris Lykouris is a scholar working on Management Science and Operations Research, Artificial Intelligence and Management Information Systems, having authored 13 papers that have together received 101 indexed citations. Recurring topics across this work include Advanced Bandit Algorithms Research (10 papers), Machine Learning and Algorithms (6 papers), Auction Theory and Applications (4 papers), Game Theory and Applications (2 papers), Reinforcement Learning in Robotics (2 papers), Economic theories and models (2 papers), Supply Chain and Inventory Management (1 paper) and Sharing Economy and Platforms (1 paper). The work is most often cited by research in Management Science and Operations Research (50 citations), Transportation (21 citations) and Marketing (23 citations). Thodoris Lykouris has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Daniel Freund, Siddhartha Banerjee, Vahab Mirrokni, Renato Paes Leme, Nikhil R. Devanur, Shuchi Chawla, Suriya Gunasekar, Robert E. Schapire, Nika Haghtalab and Akshay Krishnamurthy. Their work appears in journals such as Operations Research, Mathematics of Operations Research and arXiv (Cornell University).
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.