Sander J. J. Leemans

3.7k total citations · 1 hit paper
41 papers, 748 citations indexed

About

Sander J. J. Leemans is a scholar working on Management Information Systems, Information Systems and Artificial Intelligence. According to data from OpenAlex, Sander J. J. Leemans has authored 41 papers receiving a total of 748 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Management Information Systems, 20 papers in Information Systems and 10 papers in Artificial Intelligence. Recurrent topics in Sander J. J. Leemans's work include Business Process Modeling and Analysis (31 papers), Service-Oriented Architecture and Web Services (17 papers) and Semantic Web and Ontologies (9 papers). Sander J. J. Leemans is often cited by papers focused on Business Process Modeling and Analysis (31 papers), Service-Oriented Architecture and Web Services (17 papers) and Semantic Web and Ontologies (9 papers). Sander J. J. Leemans collaborates with scholars based in Australia, Germany and Netherlands. Sander J. J. Leemans's co-authors include Wil M. P. van der Aalst, Moe Thandar Wynn, Dirk Fahland, Arthur H. M. ter Hofstede, Rehan Syed, Wasana Bandara, Suriadi Suriadi, Hajo A. Reijers, Chun Ouyang and Michael Adams and has published in prestigious journals such as IEEE Access, ACM Computing Surveys and Journal of Medical Internet Research.

In The Last Decade

Sander J. J. Leemans

36 papers receiving 707 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Robotic Process Automation: Contemporary themes and challenges

2019 251 citations Rehan Syed, Wasana Bandara et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sander J. J. Leemans Australia	11	502	281	276	172	101	41	748
Artem Polyvyanyy Australia	13	563 1.1×	160 0.6×	381 1.4×	191 1.1×	108 1.1×	60	672
Michael Adams Australia	11	456 0.9×	244 0.9×	373 1.4×	141 0.8×	41 0.4×	45	713
Irene Vanderfeesten Netherlands	15	455 0.9×	166 0.6×	306 1.1×	121 0.7×	59 0.6×	49	697
Ronny S. Mans Netherlands	16	662 1.3×	144 0.5×	387 1.4×	259 1.5×	199 2.0×	29	967
Raffaele Conforti Australia	11	487 1.0×	91 0.3×	354 1.3×	140 0.8×	133 1.3×	23	571
Felix Mannhardt Norway	12	366 0.7×	89 0.3×	220 0.8×	168 1.0×	107 1.1×	30	475
Andrea Burattin Denmark	13	458 0.9×	86 0.3×	281 1.0×	181 1.1×	106 1.0×	45	575
Basim Majeed United Kingdom	11	420 0.8×	118 0.4×	200 0.7×	99 0.6×	81 0.8×	27	600
Andrea Marrella Italy	15	486 1.0×	143 0.5×	445 1.6×	221 1.3×	76 0.8×	76	823
Thomas Moser Austria	14	160 0.3×	172 0.6×	279 1.0×	204 1.2×	46 0.5×	60	557

Countries citing papers authored by Sander J. J. Leemans

Since Specialization

Citations

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

Fields of papers citing papers by Sander J. J. Leemans

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sander J. J. Leemans. 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 Sander J. J. Leemans. The network helps show where Sander J. J. Leemans may publish in the future.

Co-authorship network of co-authors of Sander J. J. Leemans

This figure shows the co-authorship network connecting the top 25 collaborators of Sander J. J. Leemans. A scholar is included among the top collaborators of Sander J. J. Leemans 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 Sander J. J. Leemans. Sander J. J. Leemans 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

Hofstede, Arthur H. M. ter, et al.. (2024). Bot log mining: An approach to the integrated analysis of Robotic Process Automation and process mining. Information Systems. 126. 102431–102431. 1 indexed citations

Bandara, Wasana, et al.. (2024). Process Mining Success Factors and Their Interrelationships. Business & Information Systems Engineering. 67(3). 389–408. 5 indexed citations

Hofstede, Arthur H. M. ter, et al.. (2024). Comparing Conformance Checking for Decision Mining: An Axiomatic Approach. IEEE Access. 12. 60276–60298.

Rehse, Jana-Rebecca, Sander J. J. Leemans, Peter Fettke, & Jan Martijn E. M. van der Werf. (2024). On Process Discovery Experimentation: Addressing the Need for Research Methodology in Process Discovery. ACM Transactions on Software Engineering and Methodology. 34(1). 1–29. 1 indexed citations

Leemans, Sander J. J., Fabrizio Maria Maggi, & Marco Montali. (2024). Enjoy the silence: Analysis of stochastic Petri nets with silent transitions. Information Systems. 124. 102383–102383. 4 indexed citations

Leemans, Sander J. J. & Artem Polyvyanyy. (2023). Stochastic-aware precision and recall measures for conformance checking in process mining. Information Systems. 115. 102197–102197. 4 indexed citations

Leemans, Sander J. J., et al.. (2023). Significant stochastic dependencies in process models. Information Systems. 118. 102223–102223. 6 indexed citations

Syed, Rehan, Rebekah Eden, Sander J. J. Leemans, et al.. (2023). Digital Health Data Quality Issues: Systematic Review. Journal of Medical Internet Research. 25. e42615–e42615. 38 indexed citations

Leemans, Sander J. J., et al.. (2023). State Snapshot Process Discovery on Career Paths of Qing Dynasty Civil Servants. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 15. 73–80.

10.

Pennekamp, Jan, Roman Matzutt, Christopher Klinkmüller, et al.. (2023). An Interdisciplinary Survey on Information Flows in Supply Chains. ACM Computing Surveys. 56(2). 1–38. 9 indexed citations

11.

Schumacher, P.E., et al.. (2023). An Approximate Inductive Miner. 129–136. 2 indexed citations

12.

Leemans, Sander J. J., James McGree, Artem Polyvyanyy, & Arthur H. M. ter Hofstede. (2022). Statistical Tests and Association Measures for Business Processes. IEEE Transactions on Knowledge and Data Engineering. 1–15. 3 indexed citations

13.

Leemans, Sander J. J., Andrew Partington, Jonathan Karnon, & Moe Thandar Wynn. (2022). Process mining for healthcare decision analytics with micro-costing estimations. Artificial Intelligence in Medicine. 135. 102473–102473. 9 indexed citations

14.

Bandara, Wasana, et al.. (2020). Building ‘holistic’ Business process modelling skills for IS graduates. Journal of the Association for Information Systems. 1 indexed citations

15.

Leemans, Sander J. J., Erik Poppe, & Moe Thandar Wynn. (2019). Directly Follows-Based Process Mining: Exploration & a Case Study. QUT ePrints (Queensland University of Technology). 25–32. 48 indexed citations

16.

Leemans, Sander J. J. & Dirk Fahland. (2019). Information-preserving abstractions of event data in process mining. Knowledge and Information Systems. 62(3). 1143–1197. 8 indexed citations

17.

Leemans, Sander J. J., Erik Poppe, & Moe Thandar Wynn. (2019). Directly follows-based process mining: A tool. QUT ePrints (Queensland University of Technology). 2 indexed citations

18.

Leemans, Sander J. J., Dirk Fahland, & Wil M. P. van der Aalst. (2016). Scalable process discovery and conformance checking. Software & Systems Modeling. 17(2). 599–631. 102 indexed citations

19.

Leemans, Sander J. J., et al.. (2015). PM2: A process mining project methodology. Science & Engineering Faculty. 17 indexed citations

20.

Leemans, Sander J. J., Dirk Fahland, & Wil M. P. van der Aalst. (2014). Process and deviation exploration with Inductive visual Miner. TU/e Research Portal. 46–50. 51 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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