Thodoris Lykouris

577 total citations
13 papers, 101 citations indexed

About

Thodoris Lykouris is a scholar working on Management Science and Operations Research, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Thodoris Lykouris has authored 13 papers receiving a total of 101 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Management Science and Operations Research, 7 papers in Artificial Intelligence and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Thodoris Lykouris's work include Advanced Bandit Algorithms Research (10 papers), Machine Learning and Algorithms (6 papers) and Auction Theory and Applications (4 papers). Thodoris Lykouris is often cited by papers focused on Advanced Bandit Algorithms Research (10 papers), Machine Learning and Algorithms (6 papers) and Auction Theory and Applications (4 papers). Thodoris Lykouris collaborates with scholars based in United States, United Kingdom and China. Thodoris Lykouris's 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 and has published in prestigious journals such as Operations Research, Mathematics of Operations Research and arXiv (Cornell University).

In The Last Decade

Thodoris Lykouris

12 papers receiving 100 citations

Peers

Thodoris Lykouris
Comparison fields: 5 of 28
  • Management Science and Operations Research 50
  • Automotive Engineering 30
  • Artificial Intelligence 30
  • Computer Networks and Communications 27
  • Marketing 23
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Akash Nanavati United States
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Siyu Wang China
Ali Shafahi United States
M. Magdalena Payeras–Capellà Spain
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Citations per field, relative to Thodoris Lykouris
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Citations per year, relative to Thodoris Lykouris
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Countries citing papers authored by Thodoris Lykouris

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Thodoris Lykouris

This figure shows the co-authorship network connecting the top 25 collaborators of Thodoris Lykouris. A scholar is included among the top collaborators of Thodoris Lykouris based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thodoris Lykouris. Thodoris Lykouris is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
# Work Indexed citations
1 1
2 6
3 2
4 4
5 2
6 5
7
Bayesian decision-making under misspecified priors with applications to meta-learning
1
8
Corrupted Multidimensional Binary Search: Learning in the Presence of Irrational Agents
0
9 1
10
On preserving non-discrimination when combining expert advice
2
11 36
12 38
13
Learning in Games: Robustness of Fast Convergence
3

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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2026