Sicco Verwer
Impact in
- Health Informatics top 5%
- Safety Research top 2%
- Ethics and Social Impacts of AI
Papers in
- Software 10
- Software Testing and Debugging Techniques 8
-
- Machine Learning and Algorithms 22
- Machine Learning and Data Classification 6
- Co-authors
- Toon CaldersQin LinYingqian ZhangJun WangYihuan ZhangAditya P. MathurMathijs de WeerdtCees Witteveen
- Journals
- Machine Learning (3 papers)Information Sciences (1 paper)Logical Methods in Computer Science (1 paper)IEEE Transactions on Intelligent Transportation Systems (1 paper)The International Journal of Advanced Manufacturing Technology (1 paper)
- Partner nations
- NetherlandsLuxembourgUnited States
In The Last Decade
Sicco Verwer
59 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Health Informatics 45
- Safety Research 221
- Software 84
- Artificial Intelligence 620
- Computer Networks and Communications 237
Countries citing papers authored by Sicco Verwer
This map shows the geographic impact of Sicco Verwer'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 Sicco Verwer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sicco Verwer more than expected).
Fields of papers citing papers by Sicco Verwer
This network shows the impact of papers produced by Sicco Verwer. 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 Sicco Verwer. The network helps show where Sicco Verwer may publish in the future.
Co-authors
The 25 scholars most cited alongside Sicco Verwer, 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 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 1 | |
| 4 | 2019 | 72 | |
| 5 | 2018 | 20 | |
| 6 | 2017 | 14 | |
| 7 | 2016 | 8 | |
| 8 | Learning Deterministic Finite Automata from Infinite Alphabets | 2016 | 3 |
| 9 | Learning Complex Uncertain States Changes via Asymmetric Hidden Markov Models: an Industrial Case | 2016 | 1 |
| 10 | 2014 | 1 | |
| 11 | Bigger is Not Always Better: on the Quality of Hypotheses in Active Automata Learning | 2014 | 2 |
| 12 | Combining and Analyzing Judicial Databases | 2013 | 1 |
| 13 | 2012 | 3 | |
| 14 | Learning and Testing the Bounded Retransmission Protocol | 2012 | 8 |
| 15 | 2011 | 14 | |
| 16 | A likelihood-ratio test for identifying probabilistic deterministic real-time automata from positive data (extended abstract) | 2010 | 1 |
| 17 | Towards EDM Framework for Personalization of Information Services in RPM Systems. | 2010 | 2 |
| 18 | 2010 | 12 | |
| 19 | Efficiently learning simple timed automata | 2008 | 2 |
| 20 | A tutoring system to practice theorem proving in Fitch | 2005 | 0 |
About Sicco Verwer
Sicco Verwer is a scholar working on Software, Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications and Signal Processing, having authored 62 papers that have together received 1.1k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (22 papers), Formal Methods in Verification (12 papers), Network Security and Intrusion Detection (11 papers), semigroups and automata theory (8 papers), Software Testing and Debugging Techniques (8 papers), Advanced Malware Detection Techniques (7 papers), Machine Learning and Data Classification (6 papers) and Software Engineering Research (5 papers). The work is most often cited by research in Health Informatics (45 citations), Safety Research (221 citations), Software (84 citations), Artificial Intelligence (620 citations) and Computer Networks and Communications (237 citations). Sicco Verwer has collaborated with scholars based in Netherlands, Luxembourg and United States. Frequent co-authors include Toon Calders, Qin Lin, Yingqian Zhang, Jun Wang, Yihuan Zhang, Aditya P. Mathur, Mathijs de Weerdt, Cees Witteveen, John M. Dolan and Marijn J. H. Heule. Their work appears in journals such as Machine Learning, Information Sciences, Logical Methods in Computer Science, IEEE Transactions on Intelligent Transportation Systems and The International Journal of Advanced Manufacturing Technology.
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.