Nick van Beest

568 total citations
30 papers, 239 citations indexed

About

Nick van Beest is a scholar working on Management Information Systems, Information Systems and Artificial Intelligence. According to data from OpenAlex, Nick van Beest has authored 30 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Management Information Systems, 18 papers in Information Systems and 8 papers in Artificial Intelligence. Recurrent topics in Nick van Beest's work include Business Process Modeling and Analysis (26 papers), Service-Oriented Architecture and Web Services (18 papers) and Flexible and Reconfigurable Manufacturing Systems (7 papers). Nick van Beest is often cited by papers focused on Business Process Modeling and Analysis (26 papers), Service-Oriented Architecture and Web Services (18 papers) and Flexible and Reconfigurable Manufacturing Systems (7 papers). Nick van Beest collaborates with scholars based in Netherlands, Australia and Estonia. Nick van Beest's co-authors include Laura Măruşter, J.C. Wortmann, Marco Aiello, Alexander Lazovik, Guido Governatori, Hugo Velthuijsen, Giorgio Buonanno, Artem Polyvyanyy, Nick Szirbik and Ruhi S. Humphries and has published in prestigious journals such as IEEE Transactions on Software Engineering, Artificial Intelligence and Engineering Applications of Artificial Intelligence.

In The Last Decade

Nick van Beest

28 papers receiving 223 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Nick van Beest Netherlands	8	165	125	41	39	32	30	239
Cristina Cabanillas Austria	8	155 0.9×	111 0.9×	54 1.3×	39 1.0×	41 1.3×	21	245
Stefan Schönig Germany	9	192 1.2×	126 1.0×	56 1.4×	72 1.8×	28 0.9×	48	253
Andrea Giglio Italy	10	148 0.9×	98 0.8×	39 1.0×	41 1.1×	101 3.2×	38	274
Minxin Shen Taiwan	9	152 0.9×	173 1.4×	105 2.6×	30 0.8×	21 0.7×	11	278
Filip Caron Belgium	10	222 1.3×	137 1.1×	85 2.1×	61 1.6×	70 2.2×	21	343
Laura Genga Netherlands	8	113 0.7×	71 0.6×	51 1.2×	30 0.8×	32 1.0×	37	190
Faming Lu China	9	208 1.3×	175 1.4×	59 1.4×	47 1.2×	28 0.9×	28	348
Branimir Wetzstein Germany	11	211 1.3×	225 1.8×	105 2.6×	25 0.6×	35 1.1×	14	301
Andreas Solti Austria	7	225 1.4×	158 1.3×	81 2.0×	47 1.2×	42 1.3×	15	278
Martin Zelm Germany	5	135 0.8×	77 0.6×	28 0.7×	74 1.9×	17 0.5×	13	214

Countries citing papers authored by Nick van Beest

Since Specialization

Citations

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

Fields of papers citing papers by Nick van Beest

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nick van Beest. 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 Nick van Beest. The network helps show where Nick van Beest may publish in the future.

Co-authorship network of co-authors of Nick van Beest

This figure shows the co-authorship network connecting the top 25 collaborators of Nick van Beest. A scholar is included among the top collaborators of Nick van Beest based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nick van Beest. Nick van Beest is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Polyvyanyy, Artem, Ying Tan, Nir Lipovetzky, et al.. (2025). Process mining over sensor data: Goal recognition for powered transhumeral prostheses. Information Systems. 132. 102540–102540.

Polyvyanyy, Artem, et al.. (2024). Adaptive goal recognition using process mining techniques. Engineering Applications of Artificial Intelligence. 133. 108189–108189. 3 indexed citations

Lipovetzky, Nir, Alireza Mohammadi, Denny Oetomo, et al.. (2023). Data-Driven Goal Recognition in Transhumeral Prostheses Using Process Mining Techniques. 25–32. 1 indexed citations

Beest, Nick van, et al.. (2023). Cross-Instance Regulatory Compliance Checking of Business Process Event Logs. IEEE Transactions on Software Engineering. 49(11). 4917–4931. 1 indexed citations

Arpino, F., Emilie Sauret, Nick van Beest, et al.. (2022). Influence of indoor airflow on particle spread of a single breath and cough in enclosures: Does opening a window really ‘help’?. Atmospheric Pollution Research. 13(7). 101473–101473. 18 indexed citations

Governatori, Guido, et al.. (2019). Efficient Full Compliance Checking of Concurrent Components for Business Process Models. Griffith Research Online (Griffith University, Queensland, Australia). 6(5). 963–998. 3 indexed citations

Beest, Nick van, et al.. (2019). Efficient conditional compliance checking of business process models. Computers in Industry. 115. 103181–103181. 4 indexed citations

Armas-Cervantes, Abel, et al.. (2017). Incremental and interactive business process model repair in apromore. QUT ePrints (Queensland University of Technology). 1920. 3 indexed citations

Beest, Nick van, et al.. (2017). Automated compliance verification of business processes in Apromore. University of Groningen research database (University of Groningen / Centre for Information Technology). 1 indexed citations

10.

García‐Bañuelos, Luciano, Nick van Beest, Marlon Dumas, Marcello La Rosa, & Willem Mertens. (2017). Complete and Interpretable Conformance Checking of Business Processes. IEEE Transactions on Software Engineering. 44(3). 262–290. 3 indexed citations

11.

Beest, Nick van, et al.. (2015). A Review and Evaluation of Business Model Ontologies: A Viability Perspective. Lecture notes in business information processing. 453–471. 4 indexed citations

12.

Beest, Nick van, et al.. (2015). A review and evaluation of business model ontologies : a viability perspective. 227. 2 indexed citations

13.

Beest, Nick van, et al.. (2014). An Assessment Framework for Business Model Ontologies to Ensure the Viability of Business Models. 226–235. 1 indexed citations

14.

Beest, Nick van & Doina Bucur. (2013). Continuous Correctness of Business Processes Against Process Interference. University of Groningen research database (University of Groningen / Centre for Information Technology). 4803. 110–117. 1 indexed citations

15.

Beest, Nick van, et al.. (2013). Automated runtime repair of business processes. Information Systems. 39. 45–79. 25 indexed citations

16.

Beest, Nick van, et al.. (2010). SERVICE-ORIENTED COMPUTING - ICSOC 2010, PROCEEDINGS. 2 indexed citations

17.

Beest, Nick van, et al.. (2010). ASSESSING THE INTERFERENCE IN CONCURRENT BUSINESS PROCESSES. 261–270. 4 indexed citations

18.

Beest, Nick van, Nick Szirbik, & J.C. Wortmann. (2010). Proceedings of 12th international conference on enterprise information systems (ICEIS'10). 7 indexed citations

19.

Măruşter, Laura & Nick van Beest. (2009). Redesigning business processes: a methodology based on simulation and process mining techniques. Knowledge and Information Systems. 21(3). 267–297. 77 indexed citations

20.

Beest, Nick van & Laura Măruşter. (2007). Symbolic and Numeric Algorithms for Scientific Computing, 2007. 15 indexed citations

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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