Antonı́n Kučera
- Computational Theory and Mathematics top 1%
- Artificial Intelligence top 5%
- Software top 2%
- Computer Networks and Communications top 10%
- Management Science and Operations Research top 10%
- Co-authors
- Javier EsparzaRichard MayrTomǎš BrázdilPetr JančarVojtěch ForejtStefan SchwoonVáclav BrožekStefan Kiefer
- Topics
- Formal Methods in Verification (48 papers)Petri Nets in System Modeling (21 papers)Logic, programming, and type systems (18 papers)
- Partner nations
- CzechiaUnited KingdomGermany
In The Last Decade
Antonı́n Kučera
75 papers receiving 700 citations
Peers
Comparison fields: 5 of 59
- Computational Theory and Mathematics 590
- Artificial Intelligence 471
- Software 183
- Computer Networks and Communications 93
- Management Science and Operations Research 54
Countries citing papers authored by Antonı́n Kučera
This map shows the geographic impact of Antonı́n Kučera'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 Antonı́n Kučera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonı́n Kučera more than expected).
Fields of papers citing papers by Antonı́n Kučera
This network shows the impact of papers produced by Antonı́n Kučera. 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 Antonı́n Kučera. The network helps show where Antonı́n Kučera may publish in the future.
Co-authorship network of co-authors of Antonı́n Kučera
This figure shows the co-authorship network connecting the top 25 collaborators of Antonı́n Kučera. A scholar is included among the top collaborators of Antonı́n Kučera 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 Antonı́n Kučera. Antonı́n Kučera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | Spare Change : Evaluating revised forecasts | 1 |
| 6 | 2 | |
| 7 | 13 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 15 | |
| 11 | Two Views on Multiple Mean-Payoff Objectives in Markov Decision Processes | 8 |
| 12 | 1 | |
| 13 | 12 | |
| 14 | 1 | |
| 15 | 58 | |
| 16 | 80 | |
| 17 | 10 | |
| 18 | Why is simulation harder than bisimulation | 2 |
| 19 | 8 | |
| 20 | Simulation and Bisimulation over One-Counter Processes | 1 |
About Antonı́n Kučera
Antonı́n Kučera is a scholar working on Software, Computational Theory and Mathematics and Artificial Intelligence, having authored 77 papers that have together received 736 indexed citations. Recurring topics across this work include Formal Methods in Verification (48 papers), Petri Nets in System Modeling (21 papers) and Logic, programming, and type systems (18 papers). The work is most often cited by research in Software (183 citations), Computational Theory and Mathematics (590 citations) and Artificial Intelligence (471 citations). Antonı́n Kučera has collaborated with scholars based in Czechia, United Kingdom and Germany. Frequent co-authors include Javier Esparza, Richard Mayr, Tomǎš Brázdil, Petr Jančar, Vojtěch Forejt, Stefan Schwoon, Václav Brožek, Stefan Kiefer, Krishnendu Chatterjee and Jan Křetínský. Their work appears in journals such as Journal of the ACM, Theoretical Computer Science and Journal of Computer and System Sciences.
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.