Gabriele Farina

606 total citations
30 papers, 90 citations indexed

About

Gabriele Farina is a scholar working on Management Science and Operations Research, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Gabriele Farina has authored 30 papers receiving a total of 90 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Management Science and Operations Research, 12 papers in Artificial Intelligence and 7 papers in Economics and Econometrics. Recurrent topics in Gabriele Farina's work include Game Theory and Applications (13 papers), Advanced Bandit Algorithms Research (13 papers) and Artificial Intelligence in Games (6 papers). Gabriele Farina is often cited by papers focused on Game Theory and Applications (13 papers), Advanced Bandit Algorithms Research (13 papers) and Artificial Intelligence in Games (6 papers). Gabriele Farina collaborates with scholars based in United States, Italy and Israel. Gabriele Farina's co-authors include Tüomas Sandholm, Nicola Gatti, Christian Kroer, James R. Faeder, Ali Sinan Saglam, Fabian Fröhlich, Noam Brown, Ioannis Panageas, Maurizio Baldassarre and Giorgio Bedogni and has published in prestigious journals such as Operations Research, PLoS Computational Biology and Journal of the ACM.

In The Last Decade

Gabriele Farina

29 papers receiving 88 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gabriele Farina United States 6 56 35 21 8 7 30 90
Vasilis Syrgkanis United States 4 24 0.4× 31 0.9× 6 0.3× 2 0.3× 5 0.7× 8 67
Noah Golowich United States 4 23 0.4× 27 0.8× 6 0.3× 9 1.1× 14 52
Orgad Keller Israel 5 12 0.2× 50 1.4× 12 0.6× 2 0.3× 10 1.4× 12 63
Nicholas Petty United States 4 21 0.4× 38 1.1× 4 0.2× 2 0.3× 6 0.9× 7 73
Ashudeep Singh United States 4 50 0.9× 57 1.6× 8 0.4× 4 0.5× 1 0.1× 7 103
Gautam Kamath United States 7 8 0.1× 81 2.3× 12 0.6× 2 0.3× 3 0.4× 19 112
Matthew Lepinski United States 2 20 0.4× 47 1.3× 8 0.4× 2 0.3× 3 58
E. Mejuto-Villa Italy 3 51 0.9× 19 0.5× 19 0.9× 7 75
Georgios Birmpas United Kingdom 8 95 1.7× 19 0.5× 123 5.9× 2 0.3× 18 139
Elise Bonzon France 6 33 0.6× 108 3.1× 23 1.1× 1 0.1× 1 0.1× 10 127

Countries citing papers authored by Gabriele Farina

Since Specialization
Citations

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

Fields of papers citing papers by Gabriele Farina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriele Farina

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriele Farina. A scholar is included among the top collaborators of Gabriele Farina 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 Gabriele Farina. Gabriele Farina 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
1.
Farina, Gabriele, Christian Kroer, & Tüomas Sandholm. (2025). Better Regularization for Sequential Decision Spaces: Fast Convergence Rates for Nash, Correlated, and Team Equilibria. Operations Research. 73(5). 2430–2457. 1 indexed citations
2.
Panageas, Ioannis, et al.. (2024). Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence beyond the Minty Property. Proceedings of the AAAI Conference on Artificial Intelligence. 38(9). 9451–9459. 2 indexed citations
3.
Farina, Gabriele, et al.. (2024). Steering No-Regret Learners to a Desired Equilibrium. 73–74. 1 indexed citations
4.
Baldassarre, Maurizio, Paolo Caraceni, Francesco Giuseppe Foschi, et al.. (2023). Development and internal validation of a multivariable model for the prediction of the probability of 1-year readmission to the emergency department for acute alcohol intoxication. Internal and Emergency Medicine. 19(3). 823–829. 1 indexed citations
5.
Tufoni, Manuel, Maurizio Baldassarre, Paolo Caraceni, et al.. (2022). Mortality and its association with chronic alcohol-related diseases in patients admitted to the emergency department for acute alcoholic intoxication: retrospective cohort study. Internal and Emergency Medicine. 18(1). 257–263. 3 indexed citations
6.
Farina, Gabriele, et al.. (2022). Simple Uncoupled No-regret Learning Dynamics for Extensive-form Correlated Equilibrium. Journal of the ACM. 69(6). 1–41. 4 indexed citations
7.
Farina, Gabriele, et al.. (2022). Optimal Correlated Equilibria in General-Sum Extensive-Form Games: Fixed-Parameter Algorithms, Hardness, and Two-Sided Column-Generation. Mathematics of Operations Research. 51(1). 1119–1120. 1 indexed citations
8.
Farina, Gabriele, et al.. (2021). Connecting Optimal Ex-Ante Collusion in Teams to Extensive-Form Correlation: Faster Algorithms and Positive Complexity Results. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 3164–3173. 1 indexed citations
9.
Farina, Gabriele, et al.. (2021). Combination treatment optimization using a pan-cancer pathway model. PLoS Computational Biology. 17(12). e1009689–e1009689. 9 indexed citations
10.
Farina, Gabriele, et al.. (2021). Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games. Proceedings of the AAAI Conference on Artificial Intelligence. 35(6). 5372–5380. 2 indexed citations
11.
Silva, Rui, Gabriele Farina, Francisco S. Melo, & Manuela Veloso. (2021). A Theoretical and Algorithmic Analysis of Configurable MDPs. Proceedings of the International Conference on Automated Planning and Scheduling. 29. 455–463. 1 indexed citations
12.
Farina, Gabriele, et al.. (2021). Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games. arXiv (Cornell University). 35(6). 5372–5380. 1 indexed citations
13.
Farina, Gabriele, et al.. (2020). No-regret learning dynamics for extensive-form correlated and coarse correlated equilibria.. arXiv (Cornell University). 1 indexed citations
14.
Farina, Gabriele & Tüomas Sandholm. (2020). Polynomial-Time Computation of Optimal Correlated Equilibria in Two-Player Extensive-Form Games with Public Chance Moves and Beyond. arXiv (Cornell University). 33. 19609–19619. 3 indexed citations
15.
Farina, Gabriele, Christian Kroer, & Tüomas Sandholm. (2019). Regret Circuits: Composability of Regret Minimizers. International Conference on Machine Learning. 1863–1872. 2 indexed citations
16.
Farina, Gabriele, Nicola Gatti, & Tüomas Sandholm. (2018). Practical exact algorithm for trembling-hand equilibrium refinements in games. Neural Information Processing Systems. 31. 5039–5049. 2 indexed citations
17.
Farina, Gabriele, et al.. (2018). Ex ante coordination and collusion in zero-sum multi-player extensive-form games. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 31. 9661–9671. 12 indexed citations
18.
Farina, Gabriele, Christian Kroer, & Tüomas Sandholm. (2017). Regret minimization in behaviorally-constrained zero-sum games. International Conference on Machine Learning. 1107–1116. 2 indexed citations
19.
Kroer, Christian, Gabriele Farina, & Tüomas Sandholm. (2017). Smoothing Method for Approximate Extensive-Form Perfect Equilibrium. 295–301. 4 indexed citations
20.
Farina, Gabriele & Nicola Gatti. (2016). Ad Auctions and Cascade Model: GSP Inefficiency and Algorithms. Proceedings of the AAAI Conference on Artificial Intelligence. 30(1). 489–495. 3 indexed citations

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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