Laura Măruşter

4.0k total citations · 2 hit papers
40 papers, 2.3k citations indexed

About

Laura Măruşter is a scholar working on Management Information Systems, Information Systems and Artificial Intelligence. According to data from OpenAlex, Laura Măruşter has authored 40 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Management Information Systems, 9 papers in Information Systems and 9 papers in Artificial Intelligence. Recurrent topics in Laura Măruşter's work include Business Process Modeling and Analysis (16 papers), Service-Oriented Architecture and Web Services (9 papers) and Semantic Web and Ontologies (7 papers). Laura Măruşter is often cited by papers focused on Business Process Modeling and Analysis (16 papers), Service-Oriented Architecture and Web Services (9 papers) and Semantic Web and Ontologies (7 papers). Laura Măruşter collaborates with scholars based in Netherlands, Romania and Germany. Laura Măruşter's co-authors include Wil M. P. van der Aalst, Ton Weijters, A.J.M.M. Weijters, Boudewijn F. van Dongen, Joachim Herbst, Nick van Beest, Antal van den Bosch, Walter Daelemans, Niels Faber and René Jorna and has published in prestigious journals such as Journal of Medical Internet Research, IEEE Transactions on Knowledge and Data Engineering and BMJ Open.

In The Last Decade

Laura Măruşter

37 papers receiving 2.1k citations

Hit Papers

Workflow mining: discovering process models from event logs 2003 2026 2010 2018 2004 2003 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laura Măruşter Netherlands 13 1.9k 1.5k 750 360 349 40 2.3k
H. M. W. Verbeek Netherlands 21 1.9k 1.0× 1.5k 1.0× 606 0.8× 330 0.9× 301 0.9× 69 2.3k
A.J.M.M. Weijters Netherlands 18 2.7k 1.4× 2.1k 1.4× 1.1k 1.5× 521 1.4× 398 1.1× 32 3.2k
A. Rozinat Netherlands 15 1.4k 0.8× 1.1k 0.8× 445 0.6× 284 0.8× 238 0.7× 34 1.6k
Boudewijn F. van Dongen Netherlands 23 3.1k 1.7× 2.5k 1.7× 1.2k 1.6× 505 1.4× 552 1.6× 83 3.7k
Ana Karla Alves de Medeiros Netherlands 11 1.4k 0.7× 1.1k 0.7× 501 0.7× 253 0.7× 177 0.5× 18 1.5k
Ton Weijters Netherlands 7 1.1k 0.6× 899 0.6× 580 0.8× 226 0.6× 216 0.6× 12 1.5k
Moe Thandar Wynn Australia 21 1.2k 0.6× 676 0.5× 327 0.4× 399 1.1× 115 0.3× 88 1.6k
Peter Dadam Germany 19 1.5k 0.8× 1.4k 0.9× 817 1.1× 237 0.7× 737 2.1× 100 2.1k
Massimiliano de Leoni Italy 20 988 0.5× 702 0.5× 412 0.5× 184 0.5× 266 0.8× 72 1.3k
Akhil Kumar United States 28 1.1k 0.6× 1.0k 0.7× 566 0.8× 205 0.6× 679 1.9× 105 2.6k

Countries citing papers authored by Laura Măruşter

Since Specialization
Citations

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

Fields of papers citing papers by Laura Măruşter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Măruşter

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Măruşter. A scholar is included among the top collaborators of Laura Măruşter 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 Laura Măruşter. Laura Măruşter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Dijkstra, Hidde, et al.. (2025). Frequent Emergency Medical Services Utilization Among Older Patients: Exploration and Automatic Identification Using Natural Language Processing. Journal of the American Medical Directors Association. 26(11). 105814–105814.
2.
Zee, Durk-Jouke van der, et al.. (2024). Implications of interhospital patient transfers for emergency medical services transportation systems in the Netherlands: a retrospective study. BMJ Open. 14(6). e077181–e077181. 1 indexed citations
3.
Măruşter, Laura, Durk-Jouke van der Zee, & Erik Buskens. (2021). Identifying Frequent Health Care Users and Care Consumption Patterns: Process Mining of Emergency Medical Services Data. Journal of Medical Internet Research. 23(10). e27499–e27499. 11 indexed citations
4.
Măruşter, Laura, et al.. (2020). Tracing frequent users of regional care services using emergency medical services data: a networked approach. BMJ Open. 10(5). e036139–e036139. 10 indexed citations
5.
Măruşter, Laura & A.A. Alblas. (2020). Tailoring the Engineering Design Process Through Data and Process Mining. IEEE Transactions on Engineering Management. 69(4). 1577–1591. 5 indexed citations
6.
Măruşter, Laura, et al.. (2017). Local convergence of generalized Mann iteration. Numerical Algorithms. 76(4). 905–916. 1 indexed citations
7.
Măruşter, Laura, et al.. (2014). On the error estimation andT-stability of the Mann iteration. Journal of Computational and Applied Mathematics. 276. 110–116. 4 indexed citations
8.
Măruşter, Laura, et al.. (2011). Strong convergence of the Mann iteration for α-demicontractive mappings. Mathematical and Computer Modelling. 54(9-10). 2486–2492. 9 indexed citations
9.
Faber, Niels, et al.. (2010). Sense Making of (Social) Sustainability. International Studies of Management and Organization. 40(3). 8–22. 8 indexed citations
10.
Măruşter, Laura, et al.. (2008). Analysing agricultural users’ patterns of behaviour: The case of OPTIRas™, a decision support system for starch crop selection. Agricultural Systems. 98(3). 159–166. 6 indexed citations
11.
Beest, Nick van & Laura Măruşter. (2007). Symbolic and Numeric Algorithms for Scientific Computing, 2007. 15 indexed citations
12.
Măruşter, Laura, et al.. (2005). From Data to Knowledge: A Method for Modeling Hospital Logistic Processes. IEEE Transactions on Information Technology in Biomedicine. 9(2). 248–255. 24 indexed citations
13.
Măruşter, Laura, et al.. (2005). 7th SIMONE Congress, 11-14 October 2005, Lednice, Czech Republic. 1 indexed citations
14.
Aalst, Wil M. P. van der, et al.. (2003). Workflow Mining: Discovering process models from event logs. University of Groningen research database (University of Groningen / Centre for Information Technology). 5 indexed citations
15.
Măruşter, Laura, et al.. (2002). Process mining: Discovering direct successors in process logs. Tilburg University Research Portal. 2 indexed citations
16.
Măruşter, Laura, J.C. Wortmann, A.J.M.M. Weijters, & Wil M. P. van der Aalst. (2002). Discovering Distributed Processes in Supply Chains.. Research portal (Tilburg University). 219–230. 3 indexed citations
17.
Măruşter, Laura, et al.. (2002). Logistic-based patient grouping for multi-disciplinary treatment. Artificial Intelligence in Medicine. 26(1-2). 87–107. 22 indexed citations
18.
Aalst, Wil M. P. van der, et al.. (2002). Workflow mining: which processes can be rediscovered?. 74. 46 indexed citations
19.
Măruşter, Laura, Wil M. P. van der Aalst, Ton Weijters, Antal van den Bosch, & Walter Daelemans. (2001). Automatic discovery of workflow models from hospital data. 183–194. 1 indexed citations
20.
Măruşter, Laura, Wil M. P. van der Aalst, A.J.M.M. Weijters, Antal van den Bosch, & Walter Daelemans. (2001). Automated discovery of workflow models from hospital data. TU/e Research Portal. 183–190. 43 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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