Eric Verbeek

14 papers receiving 368 citations

Peers

Eric Verbeek
Comparison fields: 5 of 33
  • Management Information Systems 297
  • Information Systems 321
  • Software 29
  • Artificial Intelligence 181
  • Computational Theory and Mathematics 71
Replace Maja Pešić with:
Maja Pešić Netherlands
Karsten Wolf Germany
Petia Wohed Sweden
Axel Martens United States
S. Kumaran United States
NC Nick Russell Netherlands
Gero Decker Germany
Hagen Völzer Germany
Ralf Laue Germany
Niels Lohmann Germany
Eric Verbeek relative to Maja Pešić Netherlands Maja Pešić's profile →
Citations per field
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Maja Pešić · 1×
Citations per year

Countries citing papers authored by Eric Verbeek

Since Specialization
Citations

This map shows the geographic impact of Eric Verbeek'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 Eric Verbeek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Verbeek more than expected).

Fields of papers citing papers by Eric Verbeek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric Verbeek. 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 Eric Verbeek. The network helps show where Eric Verbeek may publish in the future.

Co-authors

The 24 scholars most cited alongside Eric Verbeek, 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 Eric Verbeek Line = papers co-authored together Eric Verbeek links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2007192
2 200882
3 200844
4 201726
5 200623
6 200919
7 201710
8
Integration of EPC-related tools with ProM
20065
9 20173
10
Decomposed Process Mining with DivideAndConquer.
20142
11 20152
12 20182
13 20241
14 20131
15 20220

About Eric Verbeek

Eric Verbeek is a scholar working on Management Information Systems, Information Systems, Artificial Intelligence, Computational Theory and Mathematics and Industrial and Manufacturing Engineering, having authored 15 papers that have together received 412 indexed citations. Recurring topics across this work include Business Process Modeling and Analysis (10 papers), Service-Oriented Architecture and Web Services (9 papers), Petri Nets in System Modeling (4 papers), Semantic Web and Ontologies (2 papers), Advanced Malware Detection Techniques (2 papers), Security and Verification in Computing (2 papers), Computational Geometry and Mesh Generation (1 paper) and Software Testing and Debugging Techniques (1 paper). The work is most often cited by research in Management Information Systems (297 citations), Information Systems (321 citations), Software (29 citations), Artificial Intelligence (181 citations) and Computational Theory and Mathematics (71 citations). Eric Verbeek has collaborated with scholars based in Netherlands, Australia and Canada. Frequent co-authors include Wil M. P. van der Aalst, Chun Ouyang, Marlon Dumas, Arthur H. M. ter Hofstede, A. Rozinat, Boualem Benatallah, Christian Stahl, Francisco Curbera, Niels Lohmann and Fabio Casati. Their work appears in journals such as IEEE Computational Intelligence Magazine, Information Systems, Science of Computer Programming, ACM Transactions on Internet Technology and Data & Knowledge Engineering.

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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