Gabriele Farina
- Management Science and Operations Research top 10%
- Artificial Intelligence
- Economics and Econometrics
- Marketing
- Molecular Biology
- Co-authors
- Tüomas SandholmNicola GattiChristian KroerFabian FröhlichAli Sinan SaglamJames R. FaederIoannis PanageasNoam Brown
- Topics
- Game Theory and Applications (13 papers)Advanced Bandit Algorithms Research (13 papers)Artificial Intelligence in Games (6 papers)
- Partner nations
- United StatesItalyIsrael
In The Last Decade
Gabriele Farina
29 papers receiving 88 citations
Peers
Comparison fields: 5 of 36
- Management Science and Operations Research 56
- Artificial Intelligence 35
- Economics and Econometrics 21
- Marketing 8
- Molecular Biology 7
Countries citing papers authored by Gabriele Farina
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | Connecting Optimal Ex-Ante Collusion in Teams to Extensive-Form Correlation: Faster Algorithms and Positive Complexity Results | 1 |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | Polynomial-Time Computation of Optimal Correlated Equilibria in Two-Player Extensive-Form Games with Public Chance Moves and Beyond | 3 |
| 14 | No-regret learning dynamics for extensive-form correlated and coarse correlated equilibria. | 1 |
| 15 | Regret Circuits: Composability of Regret Minimizers | 2 |
| 16 | Practical exact algorithm for trembling-hand equilibrium refinements in games | 2 |
| 17 | Ex ante coordination and collusion in zero-sum multi-player extensive-form games | 12 |
| 18 | Regret minimization in behaviorally-constrained zero-sum games | 2 |
| 19 | 4 | |
| 20 | 7 |
About Gabriele Farina
Gabriele Farina is a scholar working on General Decision Sciences, Management Science and Operations Research and Artificial Intelligence, having authored 30 papers that have together received 90 indexed citations. Recurring topics across this work include Game Theory and Applications (13 papers), Advanced Bandit Algorithms Research (13 papers) and Artificial Intelligence in Games (6 papers). The work is most often cited by research in Management Science and Operations Research (56 citations), Artificial Intelligence (35 citations) and Marketing (8 citations). Gabriele Farina has collaborated with scholars based in United States, Italy and Israel. Frequent co-authors include Tüomas Sandholm, Nicola Gatti, Christian Kroer, Fabian Fröhlich, Ali Sinan Saglam, James R. Faeder, Ioannis Panageas, Noam Brown, Maurizio Baldassarre and Rui Silva. Their work appears in journals such as Operations Research, PLoS Computational Biology and Journal of the ACM.
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.