Fides Aarts
Impact in
- Software top 10%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
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- Formal Methods in Verification
- Petri Nets in System Modeling
- semigroups and automata theory
Papers in ⓘ
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- Machine Learning and Algorithms 7
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- Formal Methods in Verification 7
- semigroups and automata theory 2
- Co-authors
- Joeri de Ruiter (1 shared paper)Erik Poll (1 shared paper)Frits Vaandrager (4 shared papers)Bengt Jönsson (2 shared papers)Jan Tretmans (2 shared papers)Sicco Verwer (2 shared papers)Falk Howar (1 shared paper)
- Journals
- Machine Learning (1 paper)Formal Methods in System Design (1 paper)Data Archiving and Networked Services (DANS) (2 papers)KTH Publication Database DiVA (KTH Royal Institute of Technology) (1 paper)Radboud Repository (Radboud University) (1 paper)
- Partner nations
- NetherlandsSwedenUnited States
In The Last Decade
Fides Aarts
7 papers receiving 75 citations
Peers
Comparison fields: 5 of 14
- Software 50
- Computational Theory and Mathematics 31
- Artificial Intelligence 56
- Signal Processing 12
- Information Systems 19
Countries citing papers authored by Fides Aarts
This map shows the geographic impact of Fides Aarts'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 Fides Aarts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fides Aarts more than expected).
Fields of papers citing papers by Fides Aarts
This network shows the impact of papers produced by Fides Aarts. 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 Fides Aarts. The network helps show where Fides Aarts may publish in the future.
Co-authors
The 7 scholars most cited alongside Fides Aarts, 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 | 2013 | 41 | |
| 2 | 2014 | 17 | |
| 3 | 2013 | 9 | |
| 4 | Learning and Testing the Bounded Retransmission Protocol | 2012 | 8 |
| 5 | Generating Models of Infinite-State Communication Protocols using Regular Inference with Abstraction | 2013 | 2 |
| 6 | Algorithms for Inferring Register Automata A comparison of existing approaches? | 2015 | 2 |
| 7 | Inference and Abstraction of Communication Protocols | 2009 | 1 |
About Fides Aarts
Fides Aarts is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Software, Infectious Diseases and Organic Chemistry, having authored 7 papers that have together received 80 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (7 papers), Formal Methods in Verification (7 papers), Software Testing and Debugging Techniques (5 papers) and semigroups and automata theory (2 papers). The work is most often cited by research in Software (50 citations), Computational Theory and Mathematics (31 citations), Artificial Intelligence (56 citations), Signal Processing (12 citations) and Information Systems (19 citations). Fides Aarts has collaborated with scholars based in Netherlands, Sweden and United States. Frequent co-authors include Joeri de Ruiter, Erik Poll, Frits Vaandrager, Bengt Jönsson, Jan Tretmans, Sicco Verwer and Falk Howar. Their work appears in journals such as Machine Learning, Formal Methods in System Design, Data Archiving and Networked Services (DANS), KTH Publication Database DiVA (KTH Royal Institute of Technology) and Radboud Repository (Radboud University).
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.