Georgios Theocharous

1.1k total citations
40 papers, 550 citations indexed

About

Georgios Theocharous is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Vision and Pattern Recognition. According to data from OpenAlex, Georgios Theocharous has authored 40 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 13 papers in Management Science and Operations Research and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Georgios Theocharous's work include Reinforcement Learning in Robotics (13 papers), Advanced Bandit Algorithms Research (12 papers) and Machine Learning and Algorithms (4 papers). Georgios Theocharous is often cited by papers focused on Reinforcement Learning in Robotics (13 papers), Advanced Bandit Algorithms Research (12 papers) and Machine Learning and Algorithms (4 papers). Georgios Theocharous collaborates with scholars based in United States, Canada and Germany. Georgios Theocharous's co-authors include Sridhar Mahadevan, Mohammad Ghavamzadeh, Philip S. Thomas, Leslie Pack Kaelbling, Khashayar Rohanimanesh, Kevin J. Murphy, C. Papaconstantinou, Branislav Kveton, Nikos Vlassis and Zheng Wen and has published in prestigious journals such as Machine Learning, Autonomous Robots and Journal of Medical Systems.

In The Last Decade

Georgios Theocharous

39 papers receiving 510 citations

Peers

Georgios Theocharous
Comparison fields: 5 of 81
  • Artificial Intelligence 316
  • Computer Vision and Pattern Recognition 131
  • Management Science and Operations Research 96
  • Control and Systems Engineering 67
  • Computer Networks and Communications 58
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Citations per field, relative to Georgios Theocharous
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Citations per year, relative to Georgios Theocharous
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Countries citing papers authored by Georgios Theocharous

Since Specialization
Citations

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

Fields of papers citing papers by Georgios Theocharous

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georgios Theocharous

This figure shows the co-authorship network connecting the top 25 collaborators of Georgios Theocharous. A scholar is included among the top collaborators of Georgios Theocharous 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 Georgios Theocharous. Georgios Theocharous is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 3
4
Scalar Posterior Sampling with Applications
3
5 7
6
Personalized ad recommendation systems for life-time value optimization with guarantees
26
7
High Confidence Policy Improvement
32
8
Policy evaluation using the Ω-return
1
9 31
10 3
11
Online learning with expert advice and finite-horizon constraints
4
12
A Lazy Approach to Online Learning with Constraints.
1
13
Adaptive timeout policies for fast fine-grained power management
12
14
Approximate Planning in POMDPs with Macro-Actions
46
15 29
16 12
17
Learning Hierarchical Partially Observable Markov Decision Process Models for Robot Navigation
40
18
Optimizing Production Manufacturing Using Reinforcement Learning
48
19 31
20 7

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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