Gábor Bartók

825 citations
13 papers · 271 · h-index 7

Impact in

    • Urban Transport and Accessibility
    • Transportation Planning and Optimization
    • Human Mobility and Location-Based Analysis
    • Transportation and Mobility Innovations

Papers in

Gábor Bartók

12 papers receiving 260 citations

Peers

Gábor Bartók
Comparison fields: 5 of 48
  • Transportation 117
  • Automotive Engineering 92
  • Management Science and Operations Research 86
  • Computer Science Applications 36
  • Building and Construction 56
Replace Yexuan Shi with:
Yexuan Shi China
Filippo Bistaffa Italy
Karthik Abinav Sankararaman United States
Tao Qian China
Marie‐José Huguet France
Andrea Rendl Austria
Andy Yuan Xue Australia
Blerim Cici United States
Mohamed E. Khalefa United States
Gábor Bartók relative to Yexuan Shi China Yexuan Shi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Gábor Bartók

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 21 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.

Border = papers with Gábor Bartók Line = papers co-authored together Gábor Bartók links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2015147
2 201437
3 201432
4
Minimax Regret of Finite Partial-Monitoring Games in Stochastic Environments
201113
5
Online Learning with Costly Features and Labels
201310
6 20128
7
A near-optimal algorithm for finite partial-monitoring games against adversarial opponents
20137
8
On Actively Teaching the Crowd to Classify
20135
9
Efficient Partial Monitoring with Prior Information
20144
10 20224
11
Gumbel-Matrix Routing for Flexible Multi-task Learning
20193
12 20121
13 20090

About Gábor Bartók

Gábor Bartók is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computer Science Applications, Computer Networks and Communications and Automotive Engineering, having authored 13 papers that have together received 271 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (8 papers), Advanced Bandit Algorithms Research (7 papers), Mobile Crowdsensing and Crowdsourcing (3 papers), Data Stream Mining Techniques (2 papers), Optimization and Search Problems (2 papers), Reinforcement Learning in Robotics (2 papers), Machine Learning and ELM (1 paper) and Face and Expression Recognition (1 paper). The work is most often cited by research in Transportation (117 citations), Automotive Engineering (92 citations), Management Science and Operations Research (86 citations), Computer Science Applications (36 citations) and Building and Construction (56 citations). Gábor Bartók has collaborated with scholars based in Switzerland, Canada and Hungary. Frequent co-authors include Adish Singla, Andreas Krause, Csaba Szepesvári, Dávid Pál, Amin Karbasi, Ilija Bogunovic, Andreas Krause, Dean P. Foster, Alexander Rakhlin and András György. Their work appears in journals such as Theoretical Computer Science, Mathematics of Operations Research, Pharmaceuticals, Information and Computation and University of Alberta Library.

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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