Viliam Lisý

1.9k total citations · 1 hit paper
35 papers, 725 citations indexed

About

Viliam Lisý is a scholar working on Artificial Intelligence, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, Viliam Lisý has authored 35 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 12 papers in Management Science and Operations Research and 10 papers in Economics and Econometrics. Recurrent topics in Viliam Lisý's work include Artificial Intelligence in Games (17 papers), Reinforcement Learning in Robotics (10 papers) and Sports Analytics and Performance (9 papers). Viliam Lisý is often cited by papers focused on Artificial Intelligence in Games (17 papers), Reinforcement Learning in Robotics (10 papers) and Sports Analytics and Performance (9 papers). Viliam Lisý collaborates with scholars based in Czechia, Canada and United States. Viliam Lisý's co-authors include Michael Bowling, Branislav Bošanský, Trevor Davis, Kevin Waugh, Dustin Morrill, Neil Burch, Matej Moravčík, Nolan Bard, Martin Schmid and Michael Johanson and has published in prestigious journals such as Science, Artificial Intelligence and Machine Learning.

In The Last Decade

Viliam Lisý

31 papers receiving 693 citations

Hit Papers

DeepStack: Expert-level artificial intelligence in heads-... 2017 2026 2020 2023 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Viliam Lisý Czechia 11 415 137 113 100 83 35 725
Ram Ramamoorthy United Kingdom 9 421 1.0× 65 0.5× 97 0.9× 30 0.3× 54 0.7× 15 824
Junling Hu United States 10 538 1.3× 173 1.3× 324 2.9× 55 0.6× 74 0.9× 19 924
Iain Dunning United States 8 405 1.0× 76 0.6× 187 1.7× 41 0.4× 73 0.9× 14 927
Jörg Denzinger Canada 15 503 1.2× 167 1.2× 65 0.6× 23 0.2× 83 1.0× 95 815
Michele Berlingerio Italy 16 285 0.7× 105 0.8× 44 0.4× 28 0.3× 49 0.6× 32 920
Dave Braines United Kingdom 14 503 1.2× 110 0.8× 67 0.6× 12 0.1× 60 0.7× 75 899
Sofia Ceppi United Kingdom 9 153 0.4× 72 0.5× 92 0.8× 18 0.2× 44 0.5× 29 429
John Thangarajah Australia 17 802 1.9× 162 1.2× 100 0.9× 17 0.2× 37 0.4× 79 1.1k
Wenjun Wang China 14 286 0.7× 87 0.6× 23 0.2× 30 0.3× 42 0.5× 122 757
Piotr J. Gmytrasiewicz United States 18 749 1.8× 167 1.2× 301 2.7× 55 0.6× 123 1.5× 67 1.1k

Countries citing papers authored by Viliam Lisý

Since Specialization
Citations

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

Fields of papers citing papers by Viliam Lisý

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Viliam Lisý

This figure shows the co-authorship network connecting the top 25 collaborators of Viliam Lisý. A scholar is included among the top collaborators of Viliam Lisý 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 Viliam Lisý. Viliam Lisý 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.
Černý, Jakub, et al.. (2021). Complexity and Algorithms for Exploiting Quantal Opponents in Large Two-Player Games. Proceedings of the AAAI Conference on Artificial Intelligence. 35(6). 5575–5583. 3 indexed citations
2.
Pevný, Tomáš, et al.. (2020). Classification with costly features as a sequential decision-making problem. Machine Learning. 109(8). 1587–1615. 11 indexed citations
3.
Lisý, Viliam, et al.. (2019). Monte Carlo Continual Resolving for Online Strategy Computation in Imperfect Information Games. arXiv (Cornell University). 224–232. 3 indexed citations
4.
Bošanský, Branislav, et al.. (2017). Approximating maxmin strategies in imperfect recall games using A-loss recall property. International Journal of Approximate Reasoning. 93. 290–326. 4 indexed citations
5.
Yee, Timothy J., Viliam Lisý, & Michael Bowling. (2016). Monte Carlo tree search in continuous action spaces with execution uncertainty. International Joint Conference on Artificial Intelligence. 690–696. 30 indexed citations
6.
Lisý, Viliam & Michael Bowling. (2016). Eqilibrium Approximation Quality of Current No-Limit Poker Bots.. arXiv (Cornell University). 4 indexed citations
7.
Bošanský, Branislav, et al.. (2016). Algorithms for computing strategies in two-player simultaneous move games. Artificial Intelligence. 237. 1–40. 21 indexed citations
8.
Lisý, Viliam, et al.. (2015). Optimal network security hardening using attack graph games. International Conference on Artificial Intelligence. 526–532. 41 indexed citations
9.
Lisý, Viliam, et al.. (2015). Game-Theoretic Algorithms for Optimal Network Security Hardening Using Attack Graphs. Adaptive Agents and Multi-Agents Systems. 1773–1774. 8 indexed citations
10.
Bošanský, Branislav, et al.. (2013). Using double-oracle method and serialized alpha-beta search for pruning in simultaneous move games. International Joint Conference on Artificial Intelligence. 48–54. 5 indexed citations
11.
Bošanský, Branislav, et al.. (2013). Double-oracle algorithm for computing an exact nash equilibrium in zero-sum extensive-form games. Adaptive Agents and Multi-Agents Systems. 335–342. 16 indexed citations
12.
Lisý, Viliam, Branislav Bošanský, & Michal Pěchouček. (2012). Anytime algorithms for multi-agent visibility-based pursuit-evasion games. Adaptive Agents and Multi-Agents Systems. 1301–1302. 5 indexed citations
13.
Vaněk, Ondřej, Branislav Bošanský, Michal Jakob, Viliam Lisý, & Michal Pěchouček. (2012). Extending Security Games to Defenders with Constrained Mobility.. National Conference on Artificial Intelligence. 3 indexed citations
14.
Novák, Peter, Antonín Komenda, Viliam Lisý, et al.. (2012). Tactical operations of multi-robot teams in urban warfare (demonstration). PubMed Central. 1473–1474. 1 indexed citations
15.
Bošanský, Branislav, Viliam Lisý, Michal Jakob, & Michal Pěchouček. (2011). Computing time-dependent policies for patrolling games with mobile targets. Adaptive Agents and Multi-Agents Systems. 989–996. 35 indexed citations
16.
Vaněk, Ondřej, Michal Jakob, Viliam Lisý, Branislav Bošanský, & Michal Pěchouček. (2011). Iterative game-theoretic route selection for hostile area transit and patrolling. Adaptive Agents and Multi-Agents Systems. 1273–1274. 10 indexed citations
17.
Lisý, Viliam. (2010). Adversarial planning for large multi-agent simulations. Adaptive Agents and Multi-Agents Systems. 1665–1666. 1 indexed citations
18.
Lisý, Viliam, Roie Zivan, Katia Sycara, & Michal Pěchouček. (2010). Deception in networks of mobile sensing agents. Adaptive Agents and Multi-Agents Systems. 1031–1038. 7 indexed citations
19.
Lisý, Viliam, Branislav Bošanský, Michal Jakob, & Michal Pěchouček. (2009). Adversarial search with procedural knowledge heuristic. Adaptive Agents and Multi-Agents Systems. 899–906. 6 indexed citations
20.
Broek, Egon L. van den, et al.. (2009). Biosignals as an Advanced Man-Machine Interface. University of Twente Research Information. 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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