Gábor Bartók
Impact in
- Transportation top 5%
- Urban Transport and Accessibility
- Transportation Planning and Optimization
- Human Mobility and Location-Based Analysis
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- Advanced Bandit Algorithms Research
- Auction Theory and Applications
Papers in
-
- Machine Learning and Algorithms 11
- Reinforcement Learning in Robotics 2
- Algorithms and Data Compression 2
- Data Stream Mining Techniques 2
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- Advanced Bandit Algorithms Research 11
- Game Theory and Applications 2
- Co-authors
- Adish Singla (4 shared papers)Csaba Szepesvári (8 shared papers)Andreas Krause (4 shared papers)Dávid Pál (4 shared papers)Gergely Neu (1 shared paper)Ilija Bogunovic (2 shared papers)Amin Karbasi (2 shared papers)Andreas Krause (1 shared paper)
- Journals
- Theoretical Computer Science (1 paper)Information and Computation (1 paper)Pharmaceuticals (1 paper)Mathematics of Operations Research (1 paper)Lecture notes in computer science (4 papers)
- Partner nations
- SwitzerlandCanadaHungary
In The Last Decade
Gábor Bartók
18 papers receiving 379 citations
Peers
Comparison fields: 5 of 51
- Transportation 135
- Management Science and Operations Research 169
- Automotive Engineering 110
- Computer Science Applications 45
- Artificial Intelligence 162
Countries citing papers authored by Gábor Bartók
This map shows the geographic impact of Gábor Bartók'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 Gábor Bartók with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gábor Bartók more than expected).
Fields of papers citing papers by Gábor Bartók
This network shows the impact of papers produced by Gábor Bartók. 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 Gábor Bartók. The network helps show where Gábor Bartók may publish in the future.
Co-authors
The 24 scholars most cited alongside Gábor Bartók, 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 | 2015 | 172 | |
| 2 | 2014 | 45 | |
| 3 | 2014 | 43 | |
| 4 | 2013 | 21 | |
| 5 | 2012 | 18 | |
| 6 | 2012 | 18 | |
| 7 | Minimax Regret of Finite Partial-Monitoring Games in Stochastic Environments | 2011 | 17 |
| 8 | A near-optimal algorithm for finite partial-monitoring games against adversarial opponents | 2013 | 17 |
| 9 | Online Learning with Costly Features and Labels | 2013 | 11 |
| 10 | 2010 | 9 | |
| 11 | On Actively Teaching the Crowd to Classify | 2013 | 6 |
| 12 | 2022 | 4 | |
| 13 | Efficient Partial Monitoring with Prior Information | 2014 | 4 |
| 14 | Gumbel-Matrix Routing for Flexible Multi-task Learning | 2019 | 3 |
| 15 | 2020 | 1 | |
| 16 | 2008 | 1 | |
| 17 | 2012 | 1 | |
| 18 | 2009 | 1 | |
| 19 | 2014 | 0 |
About Gábor Bartók
Gábor Bartók is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computer Networks and Communications, Computer Science Applications and Computational Theory and Mathematics, having authored 19 papers that have together received 392 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (11 papers), Advanced Bandit Algorithms Research (11 papers), Optimization and Search Problems (5 papers), Mobile Crowdsensing and Crowdsourcing (3 papers), Game Theory and Applications (2 papers), Reinforcement Learning in Robotics (2 papers), Algorithms and Data Compression (2 papers) and Data Stream Mining Techniques (2 papers). The work is most often cited by research in Transportation (135 citations), Management Science and Operations Research (169 citations), Automotive Engineering (110 citations), Computer Science Applications (45 citations) and Artificial Intelligence (162 citations). Gábor Bartók has collaborated with scholars based in Switzerland, Canada and Hungary. Frequent co-authors include Adish Singla, Csaba Szepesvári, Andreas Krause, Dávid Pál, Gergely Neu, Ilija Bogunovic, Amin Karbasi, Andreas Krause, Alexander Rakhlin and Dean P. Foster. Their work appears in journals such as Theoretical Computer Science, Information and Computation, Pharmaceuticals, Mathematics of Operations Research and Lecture notes in computer science.
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.