Oskar Skibski
- Management Science and Operations Research top 5%
- Statistical and Nonlinear Physics top 5%
- Economics and Econometrics top 10%
- Artificial Intelligence
- Computational Theory and Mathematics top 10%
- Co-authors
- Tomasz MichalakTalal RahwanMichael WooldridgeMakoto YokooRamasuri NarayanamNicholas R. JenningsYuko SakuraiBedoor AlShebli
- Topics
- Game Theory and Applications (18 papers)Game Theory and Voting Systems (18 papers)Complex Network Analysis Techniques (14 papers)
- Cited by
- Management Science and Operations ResearchStatistical and Nonlinear PhysicsGeometry and Topology
- Partner nations
- PolandUnited KingdomJapan
In The Last Decade
Oskar Skibski
28 papers receiving 222 citations
Peers
Comparison fields: 5 of 45
- Management Science and Operations Research 127
- Statistical and Nonlinear Physics 124
- Economics and Econometrics 88
- Artificial Intelligence 38
- Computational Theory and Mathematics 37
Countries citing papers authored by Oskar Skibski
This map shows the geographic impact of Oskar Skibski'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 Oskar Skibski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oskar Skibski more than expected).
Fields of papers citing papers by Oskar Skibski
This network shows the impact of papers produced by Oskar Skibski. 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 Oskar Skibski. The network helps show where Oskar Skibski may publish in the future.
Co-authorship network of co-authors of Oskar Skibski
This figure shows the co-authorship network connecting the top 25 collaborators of Oskar Skibski. A scholar is included among the top collaborators of Oskar Skibski 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 Oskar Skibski. Oskar Skibski 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 | 5 | |
| 3 | 7 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 17 | |
| 10 | 5 | |
| 11 | 21 | |
| 12 | 11 | |
| 13 | 5 | |
| 14 | 11 | |
| 15 | 7 | |
| 16 | 13 | |
| 17 | 2 | |
| 18 | A pseudo-polynomial algorithm for computing power indices in graph-restricted weighted voting games | 4 |
| 19 | 22 | |
| 20 | Computational analysis of connectivity games with applications to the investigation of terrorist networks | 30 |
About Oskar Skibski
Oskar Skibski is a scholar working on Management Science and Operations Research, Statistical and Nonlinear Physics and Economics and Econometrics, having authored 30 papers that have together received 236 indexed citations. Recurring topics across this work include Game Theory and Applications (18 papers), Game Theory and Voting Systems (18 papers) and Complex Network Analysis Techniques (14 papers). The work is most often cited by research in Management Science and Operations Research (127 citations), Statistical and Nonlinear Physics (124 citations) and Geometry and Topology (33 citations). Oskar Skibski has collaborated with scholars based in Poland, United Kingdom and Japan. Frequent co-authors include Tomasz Michalak, Talal Rahwan, Michael Wooldridge, Makoto Yokoo, Ramasuri Narayanam, Nicholas R. Jennings, Yuko Sakurai, Bedoor AlShebli, Stefano Moretti and Piotr Skowron. Their work appears in journals such as Artificial Intelligence, Social Networks and Games and Economic Behavior.
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.