Tomasz Michalak
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- Game Theory and Applications 44
- Auction Theory and Applications 27
- Economics and Econometrics top 2%
- Game Theory and Voting Systems 38
- Economic theories and models 12
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- Complex Network Analysis Techniques 25
- Opinion Dynamics and Social Influence 14
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- Monetary Policy and Economic Impact 9
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications 6
- Co-authors
- Talal RahwanMichael WooldridgeNicholas R. JenningsJoseph PlasmansOskar SkibskiPeter McBurneyYoucef DjenouriJacob Engwerda
- Cited by
- Management Science and Operations ResearchEconomics and EconometricsStatistical and Nonlinear Physics
- Partner nations
- PolandUnited KingdomNetherlands
In The Last Decade
Tomasz Michalak
88 papers receiving 955 citations
Peers
Comparison fields: 5 of 86
- Management Science and Operations Research 438
- Economics and Econometrics 473
- Statistical and Nonlinear Physics 172
- General Economics, Econometrics and Finance 110
- Artificial Intelligence 213
Countries citing papers authored by Tomasz Michalak
This map shows the geographic impact of Tomasz Michalak'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 Tomasz Michalak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomasz Michalak more than expected).
Fields of papers citing papers by Tomasz Michalak
This network shows the impact of papers produced by Tomasz Michalak. 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 Tomasz Michalak. The network helps show where Tomasz Michalak may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tomasz Michalak, 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 | 2024 | 1 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 23 | |
| 7 | 2022 | 0 | |
| 8 | 2020 | 0 | |
| 9 | 2019 | 9 | |
| 10 | 2019 | 2 | |
| 11 | 2019 | 2 | |
| 12 | 2019 | 17 | |
| 13 | 2018 | 21 | |
| 14 | 2018 | 6 | |
| 15 | 2017 | 11 | |
| 16 | 2016 | 3 | |
| 17 | 2016 | 13 | |
| 18 | 2016 | 2 | |
| 19 | 2015 | 2 | |
| 20 | The game-theoretic interaction index on social networks with applications to link prediction and community detection | 2015 | 9 |
About Tomasz Michalak
Tomasz Michalak is a scholar working on Management Science and Operations Research, Statistical and Nonlinear Physics and Economics and Econometrics, having authored 99 papers that have together received 987 indexed citations. Recurring topics across this work include Game Theory and Applications (44 papers), Game Theory and Voting Systems (38 papers), Auction Theory and Applications (27 papers), Complex Network Analysis Techniques (25 papers), Opinion Dynamics and Social Influence (14 papers), Economic theories and models (12 papers), Monetary Policy and Economic Impact (9 papers) and Anomaly Detection Techniques and Applications (6 papers). The work is most often cited by research in Management Science and Operations Research (438 citations), Economics and Econometrics (473 citations) and Statistical and Nonlinear Physics (172 citations). Tomasz Michalak has collaborated with scholars based in Poland, United Kingdom and Netherlands. Frequent co-authors include Talal Rahwan, Michael Wooldridge, Nicholas R. Jennings, Joseph Plasmans, Oskar Skibski, Peter McBurney, Youcef Djenouri, Jacob Engwerda, Jerry Chun‐Wei Lin and Jacek Sroka. Their work appears in journals such as Scientific Reports, IEEE Access and Artificial Intelligence.
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.