Mate Soos
Impact in
- Software top 5%
- Software Testing and Debugging Techniques
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- Formal Methods in Verification
Papers in
-
- Machine Learning and Algorithms 6
- Bayesian Modeling and Causal Inference 4
- Logic, programming, and type systems 2
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- Formal Methods in Verification 9
- Co-authors
- Karsten Nohl (1 shared paper)Claude Castelluccia (1 shared paper)Kuldeep S. Meel (14 shared papers)Subhajit Roy (1 shared paper)Raghav Kulkarni (2 shared papers)Armando Solar-Lezama (1 shared paper)Martin Rinard (1 shared paper)Vijay Ganesh (1 shared paper)
- Journals
- Lecture notes in computer science (10 papers)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)EPiC series in computing (1 paper)
- Partner nations
- SingaporeIndiaUnited States
In The Last Decade
Mate Soos
16 papers receiving 511 citations
Peers
Comparison fields: 5 of 43
- Software 92
- Computational Theory and Mathematics 217
- Artificial Intelligence 415
- Hardware and Architecture 75
- Signal Processing 58
Countries citing papers authored by Mate Soos
This map shows the geographic impact of Mate Soos'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 Mate Soos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mate Soos more than expected).
Fields of papers citing papers by Mate Soos
This network shows the impact of papers produced by Mate Soos. 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 Mate Soos. The network helps show where Mate Soos may publish in the future.
Co-authors
The 16 scholars most cited alongside Mate Soos, 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 | 2009 | 321 | |
| 2 | 2019 | 59 | |
| 3 | 2020 | 45 | |
| 4 | 2019 | 34 | |
| 5 | 2012 | 17 | |
| 6 | 2019 | 9 | |
| 7 | CrystalBall: Gazing in the Black Box of SAT Solving. | 2019 | 8 |
| 8 | 2018 | 7 | |
| 9 | 2011 | 7 | |
| 10 | 2019 | 7 | |
| 11 | 2022 | 6 | |
| 12 | 2021 | 6 | |
| 13 | 2024 | 4 | |
| 14 | 2024 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2021 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 | |
| 19 | 2024 | 0 |
About Mate Soos
Mate Soos is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Software, Computer Networks and Communications and Signal Processing, having authored 19 papers that have together received 533 indexed citations. Recurring topics across this work include Formal Methods in Verification (9 papers), Machine Learning and Algorithms (6 papers), Software Testing and Debugging Techniques (6 papers), Bayesian Modeling and Causal Inference (4 papers), Advanced Database Systems and Queries (3 papers), Data Management and Algorithms (3 papers), Logic, programming, and type systems (2 papers) and Markov Chains and Monte Carlo Methods (2 papers). The work is most often cited by research in Software (92 citations), Computational Theory and Mathematics (217 citations), Artificial Intelligence (415 citations), Hardware and Architecture (75 citations) and Signal Processing (58 citations). Mate Soos has collaborated with scholars based in Singapore, India and United States. Frequent co-authors include Karsten Nohl, Claude Castelluccia, Kuldeep S. Meel, Subhajit Roy, Raghav Kulkarni, Armando Solar-Lezama, Martin Rinard, Vijay Ganesh, Srinivas Devadas and Kian Ming A. Chai. Their work appears in journals such as Lecture notes in computer science, Proceedings of the AAAI Conference on Artificial Intelligence and EPiC series in computing.
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.