Piotr Skowron
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- Auction Theory and Applications 31
- Game Theory and Applications 5
- Economics and Econometrics top 1%
- Game Theory and Voting Systems 53
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- Complexity and Algorithms in Graphs 18
- Advanced Graph Theory Research 5
- Artificial Intelligence top 5%
- Internet Traffic Analysis and Secure E-voting 11
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- Electoral Systems and Political Participation 7
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- Optimization and Search Problems 5
- Co-authors
- Piotr FaliszewskiMartin LacknerEdith ElkindJérôme LangArkadii SlinkoNimrod TalmonJean‐François LaslierMarkus Brill
- Cited by
- Management Science and Operations ResearchEconomics and EconometricsComputational Theory and Mathematics
- Journals
- Applied Surface Science (1 paper)Artificial Intelligence (5 papers)Theoretical Computer Science (1 paper)
- Partner nations
- PolandUnited KingdomIsrael
In The Last Decade
Piotr Skowron
59 papers receiving 914 citations
Peers
Comparison fields: 5 of 56
- Management Science and Operations Research 455
- Economics and Econometrics 773
- Computational Theory and Mathematics 331
- Artificial Intelligence 220
- Political Science and International Relations 139
Countries citing papers authored by Piotr Skowron
This map shows the geographic impact of Piotr Skowron'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 Piotr Skowron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Piotr Skowron more than expected).
Fields of papers citing papers by Piotr Skowron
This network shows the impact of papers produced by Piotr Skowron. 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 Piotr Skowron. The network helps show where Piotr Skowron may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Piotr Skowron, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2020 | 13 | |
| 4 | 2019 | 0 | |
| 5 | 2018 | 2 | |
| 6 | 2018 | 46 | |
| 7 | 2018 | 20 | |
| 8 | 2017 | 17 | |
| 9 | 2017 | 0 | |
| 10 | What do multiwinner voting rules do? An experiment over the two-dimensional Euclidean domain | 2017 | 28 |
| 11 | Proportional Justified Representation | 2016 | 8 |
| 12 | 2016 | 2 | |
| 13 | Committee scoring rules: axiomatic classification and hierarchy | 2016 | 17 |
| 14 | 2016 | 58 | |
| 15 | 2015 | 43 | |
| 16 | 2014 | 26 | |
| 17 | 2014 | 0 | |
| 18 | 2014 | 42 | |
| 19 | 2013 | 5 | |
| 20 | Replica placement for p2p redundant data storage on unreliable, non-dedicated machines | 2012 | 1 |
About Piotr Skowron
Piotr Skowron is a scholar working on Management Science and Operations Research, Economics and Econometrics and Computational Theory and Mathematics, having authored 66 papers that have together received 929 indexed citations. Recurring topics across this work include Game Theory and Voting Systems (53 papers), Auction Theory and Applications (31 papers), Complexity and Algorithms in Graphs (18 papers), Internet Traffic Analysis and Secure E-voting (11 papers), Electoral Systems and Political Participation (7 papers), Optimization and Search Problems (5 papers), Game Theory and Applications (5 papers) and Advanced Graph Theory Research (5 papers). The work is most often cited by research in Management Science and Operations Research (455 citations), Economics and Econometrics (773 citations) and Computational Theory and Mathematics (331 citations). Piotr Skowron has collaborated with scholars based in Poland, United Kingdom and Israel. Frequent co-authors include Piotr Faliszewski, Martin Lackner, Edith Elkind, Jérôme Lang, Arkadii Slinko, Nimrod Talmon, Jean‐François Laslier, Markus Brill, Luis Sánchez Fernández and Norberto Fernández. Their work appears in journals such as Applied Surface Science, Artificial Intelligence and Theoretical Computer Science.
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.