Fides Aarts

714 citations
14 papers · 555 · h-index 10

Impact in

Papers in

Fides Aarts

14 papers receiving 531 citations

Peers

Fides Aarts
Comparison fields: 5 of 23
  • Software 342
  • Computational Theory and Mathematics 297
  • Artificial Intelligence 436
  • Computer Networks and Communications 120
  • Information Systems 109
Replace Therese Berg with:
Therese Berg Sweden
Alain Faivre France
Prasanna Thati United States
Jules Desharnais Canada
Dorel Lucanu Romania
Daniel Dietsch Germany
Suzana Andova Netherlands
Bow-Yaw Wang Taiwan
Jesper G. Henriksen Denmark
Jürgen Dingel Canada
Fides Aarts relative to Therese Berg Sweden Therese Berg's profile →
Citations per field
00.5×2×4×5.4×
Therese Berg · 1×
Citations per year

Countries citing papers authored by Fides Aarts

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 9 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.

Border = papers with Fides Aarts Line = papers co-authored together Fides Aarts links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2012124
2 201078
3 201072
4 201367
5 201066
6 201445
7 201531
8 201323
9
Learning and Testing the Bounded Retransmission Protocol
201218
10 201210
11 20149
12
Inference and Abstraction of Communication Protocols
20095
13
Algorithms for Inferring Register Automata A comparison of existing approaches?
20154
14
Generating Models of Infinite-State Communication Protocols using Regular Inference with Abstraction
20133

About Fides Aarts

Fides Aarts is a scholar working on Software, Computational Theory and Mathematics, Artificial Intelligence, Information Systems and Computer Networks and Communications, having authored 14 papers that have together received 555 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (13 papers), Software Testing and Debugging Techniques (10 papers), Formal Methods in Verification (10 papers), semigroups and automata theory (6 papers), Software Reliability and Analysis Research (1 paper), Software Engineering Research (1 paper) and Optimization and Search Problems (1 paper). The work is most often cited by research in Software (342 citations), Computational Theory and Mathematics (297 citations), Artificial Intelligence (436 citations), Computer Networks and Communications (120 citations) and Information Systems (109 citations). Fides Aarts has collaborated with scholars based in Netherlands, Sweden and United States. Frequent co-authors include Frits Vaandrager, Bengt Jönsson, Julien Schmaltz, Joeri de Ruiter, Erik Poll, Sicco Verwer, Paul Fiterău-Broştean, Jan Tretmans and Falk Maria Howar. Their work appears in journals such as Machine Learning, Formal Methods in System Design, Lecture notes in computer science, Radboud Repository (Radboud University) and KTH Publication Database DiVA (KTH Royal Institute of 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.

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