Gábor Bartók

825 total citations
13 papers, 271 citations indexed

About

Gábor Bartók is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Science Applications. According to data from OpenAlex, Gábor Bartók has authored 13 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Management Science and Operations Research and 3 papers in Computer Science Applications. Recurrent topics in Gábor Bartók's work include Machine Learning and Algorithms (8 papers), Advanced Bandit Algorithms Research (7 papers) and Mobile Crowdsensing and Crowdsourcing (3 papers). Gábor Bartók is often cited by papers focused on Machine Learning and Algorithms (8 papers), Advanced Bandit Algorithms Research (7 papers) and Mobile Crowdsensing and Crowdsourcing (3 papers). Gábor Bartók collaborates with scholars based in Switzerland, Canada and Hungary. Gábor Bartók's co-authors include Adish Singla, Andreas Krause, Csaba Szepesvári, Dávid Pál, Ilija Bogunovic, Amin Karbasi, Andreas Krause, Alexander Rakhlin, Dean P. Foster and András György and has published in prestigious journals such as Theoretical Computer Science, Mathematics of Operations Research and Pharmaceuticals.

In The Last Decade

Gábor Bartók

12 papers receiving 260 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Gábor Bartók Switzerland	7	117	93	92	86	56	13	271
Yexuan Shi China	10	64 0.5×	126 1.4×	92 1.0×	33 0.4×	56 1.0×	16	300
Filippo Bistaffa Italy	9	52 0.4×	44 0.5×	85 0.9×	60 0.7×	31 0.6×	28	255
Karthik Abinav Sankararaman United States	9	36 0.3×	53 0.6×	66 0.7×	84 1.0×	17 0.3×	20	208
Tao Qian China	7	49 0.4×	63 0.7×	92 1.0×	11 0.1×	40 0.7×	26	237
Andrea Rendl Austria	5	45 0.4×	17 0.2×	95 1.0×	73 0.8×	40 0.7×	8	219
Marie‐José Huguet France	9	42 0.4×	64 0.7×	58 0.6×	25 0.3×	29 0.5×	23	274
Andy Yuan Xue Australia	5	220 1.9×	64 0.7×	28 0.3×	5 0.1×	109 1.9×	6	322
Eliyahu Safra Israel	9	46 0.4×	28 0.3×	15 0.2×	9 0.1×	23 0.4×	10	213
Mohamed E. Khalefa United States	9	29 0.2×	24 0.3×	30 0.3×	11 0.1×	13 0.2×	22	272

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-authorship network of co-authors of Gábor Bartók

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

All Works

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13 of 13 papers shown

Bencsik, Krisztina, et al.. (2022). Real-World Evidence for Favourable Quality-of-Life Outcomes in Hungarian Patients with Relapsing-Remitting Multiple Sclerosis Treated for Two Years with Oral Teriflunomide: Results of the Teri-REAL Study. Pharmaceuticals. 15(5). 598–598. 4 indexed citations

Maziarz, Krzysztof, et al.. (2019). Gumbel-Matrix Routing for Flexible Multi-task Learning. arXiv (Cornell University). 3 indexed citations

Singla, Adish, et al.. (2015). Incentivizing Users for Balancing Bike Sharing Systems. Proceedings of the AAAI Conference on Artificial Intelligence. 29(1). 147 indexed citations

Bartók, Gábor, et al.. (2014). Efficient Partial Monitoring with Prior Information. Neural Information Processing Systems. 27. 1691–1699. 4 indexed citations

Bartók, Gábor, Dean P. Foster, Dávid Pál, Alexander Rakhlin, & Csaba Szepesvári. (2014). Partial Monitoring—Classification, Regret Bounds, and Algorithms. Mathematics of Operations Research. 39(4). 967–997. 32 indexed citations

Singla, Adish, Ilija Bogunovic, Gábor Bartók, Amin Karbasi, & Andreas Krause. (2014). Near-Optimally Teaching the Crowd to Classify. arXiv (Cornell University). 37 indexed citations

Bartók, Gábor, et al.. (2013). Online Learning with Costly Features and Labels. Neural Information Processing Systems. 26. 1241–1249. 10 indexed citations

Singla, Adish, Ilija Bogunovic, Gábor Bartók, Amin Karbasi, & Andreas Krause. (2013). On Actively Teaching the Crowd to Classify. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 5 indexed citations

Bartók, Gábor. (2013). A near-optimal algorithm for finite partial-monitoring games against adversarial opponents. 696–710. 7 indexed citations

10.

Antos, András, Gábor Bartók, Dávid Pál, & Csaba Szepesvári. (2012). Toward a classification of finite partial-monitoring games. Theoretical Computer Science. 473. 77–99. 8 indexed citations

11.

Bartók, Gábor. (2012). The Role of Information in Online Learning. University of Alberta Library. 1 indexed citations

12.

Bartók, Gábor, Dávid Pál, & Csaba Szepesvári. (2011). Minimax Regret of Finite Partial-Monitoring Games in Stochastic Environments. Conference on Learning Theory. 3(3). 133–154. 13 indexed citations

13.

Bartók, Gábor, Csaba Szepesvári, & Sandra Zilles. (2009). Models of active learning in group-structured state spaces. Information and Computation. 208(4). 364–384.

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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