Piotr Faliszewski
- Economics and Econometrics top 0.5%
- Management Science and Operations Research top 0.5%
- Computational Theory and Mathematics top 0.5%
- Artificial Intelligence top 1%
- Political Science and International Relations top 5%
- Co-authors
- Edith HemaspaandraLane A. HemaspaandraPiotr SkowronArkadii SlinkoEdith ElkindNimrod TalmonJörg RotheAriel D. Procaccia
- Topics
- Game Theory and Voting Systems (107 papers)Auction Theory and Applications (57 papers)Complexity and Algorithms in Graphs (51 papers)
- Cited by
- Management Science and Operations ResearchEconomics and EconometricsComputational Theory and Mathematics
- Partner nations
- PolandGermanyUnited States
In The Last Decade
Piotr Faliszewski
110 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 63
- Economics and Econometrics 1.8k
- Management Science and Operations Research 1.1k
- Computational Theory and Mathematics 871
- Artificial Intelligence 841
- Political Science and International Relations 156
Countries citing papers authored by Piotr Faliszewski
This map shows the geographic impact of Piotr Faliszewski'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 Faliszewski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Piotr Faliszewski more than expected).
Fields of papers citing papers by Piotr Faliszewski
This network shows the impact of papers produced by Piotr Faliszewski. 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 Faliszewski. The network helps show where Piotr Faliszewski may publish in the future.
Co-authorship network of co-authors of Piotr Faliszewski
This figure shows the co-authorship network connecting the top 25 collaborators of Piotr Faliszewski. A scholar is included among the top collaborators of Piotr Faliszewski 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 Piotr Faliszewski. Piotr Faliszewski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 13 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 17 | |
| 6 | 6 | |
| 7 | 5 | |
| 8 | 10 | |
| 9 | 10 | |
| 10 | 26 | |
| 11 | 0 | |
| 12 | 5 | |
| 13 | 61 | |
| 14 | 8 | |
| 15 | 19 | |
| 16 | 8 | |
| 17 | 126 | |
| 18 | 25 | |
| 19 | 64 | |
| 20 | Llull and copeland voting broadly resist bribery and control | 38 |
About Piotr Faliszewski
Piotr Faliszewski is a scholar working on Management Science and Operations Research, Economics and Econometrics and Computational Theory and Mathematics, having authored 117 papers that have together received 2.1k indexed citations. Recurring topics across this work include Game Theory and Voting Systems (107 papers), Auction Theory and Applications (57 papers) and Complexity and Algorithms in Graphs (51 papers). The work is most often cited by research in Management Science and Operations Research (1.1k citations), Economics and Econometrics (1.8k citations) and Computational Theory and Mathematics (871 citations). Piotr Faliszewski has collaborated with scholars based in Poland, Germany and United States. Frequent co-authors include Edith Hemaspaandra, Lane A. Hemaspaandra, Piotr Skowron, Arkadii Slinko, Edith Elkind, Nimrod Talmon, Jörg Rothe, Ariel D. Procaccia, Jérôme Lang and Rolf Niedermeier. Their work appears in journals such as Communications of the ACM, 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.