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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Quality-informed semi-automated event log generation for process mining
Robert Andrews, Christopher van Dun, Moe Thandar Wynn, et al.
Decision Support Systems (2020) Vol. 132, pp. 113265-113265
Open Access | Times Cited: 61

Showing 1-25 of 61 citing articles:

Process mining for healthcare: Characteristics and challenges
Jorge Muñoz-Gama, Niels Martin, Carlos Fernández-Llatas, et al.
Journal of Biomedical Informatics (2022) Vol. 127, pp. 103994-103994
Open Access | Times Cited: 193
ProcessGAN: Supporting the creation of business process improvement ideas through generative machine learning
Christopher van Dun, Linda Moder, Wolfgang Kratsch, et al.
Decision Support Systems (2022) Vol. 165, pp. 113880-113880
Closed Access | Times Cited: 35
Automated process discovery from event logs in BIM construction projects
Yue Pan, Limao Zhang
Automation in Construction (2021) Vol. 127, pp. 103713-103713
Closed Access | Times Cited: 40
From Insights to INTEL: Evaluating Process Mining Insights with Healthcare Professionals
Gabriel Owusu, Xuan Wang, Sun Jun
Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences (2024)
Open Access | Times Cited: 5
Unstructured Data in Process Mining: A Systematic Literature Review
Fabian König, Andreas Egger, Wolfgang Kratsch, et al.
ACM Transactions on Management Information Systems (2025)
Closed Access
A Classification of Data Quality Issues in Object-Centric Event Data
Maike Basmer, Martin Kabierski, Kristina Sahling, et al.
Lecture notes in business information processing (2025), pp. 311-323
Open Access
Shedding light on blind spots – Developing a reference architecture to leverage video data for process mining
Wolfgang Kratsch, Fabian König, Maximilian Röglinger
Decision Support Systems (2022) Vol. 158, pp. 113794-113794
Open Access | Times Cited: 20
Foundations of Process Event Data
Jochen De Weerdt, Moe Thandar Wynn
Lecture notes in business information processing (2022), pp. 193-211
Open Access | Times Cited: 20
Process-Data Quality: The True Frontier of Process Mining
Arthur H. M. ter Hofstede, Agnes Koschmider, Andrea Marrella, et al.
Journal of Data and Information Quality (2023) Vol. 15, Iss. 3, pp. 1-21
Open Access | Times Cited: 11
How Can Interactive Process Discovery Address Data Quality Issues in Real Business Settings? Evidence from a Case Study in Healthcare
Elisabetta Benevento, Davide Aloini, Wil M. P. van der Aalst
Journal of Biomedical Informatics (2022) Vol. 130, pp. 104083-104083
Open Access | Times Cited: 18
Analyzing Healthcare Processes with Incremental Process Discovery: Practical Insights from a Real-World Application
Daniel Schuster, Elisabetta Benevento, Davide Aloini, et al.
Journal of Healthcare Informatics Research (2024) Vol. 8, Iss. 3, pp. 523-554
Open Access | Times Cited: 3
Enhancing Event Log Quality: Detecting and Quantifying Timestamp Imperfections
Dominik Fischer, Kanika Goel, Robert Andrews, et al.
Lecture notes in computer science (2020), pp. 309-326
Closed Access | Times Cited: 23
Towards a Comprehensive Evaluation of Decision Rules and Decision Mining Algorithms Beyond Accuracy
Beate Wais, Stefanie Rinderle‐Ma
Lecture notes in computer science (2024), pp. 403-419
Closed Access | Times Cited: 2
A Comparative Process Mining Analysis of Road Trauma Patient Pathways
Robert Andrews, Moe Thandar Wynn, Kirsten Vallmuur, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 10, pp. 3426-3426
Open Access | Times Cited: 18
Towards Understanding the Role of the Human in Event Log Extraction
Vinicius Stein Dani, Henrik Leopold, Jan Martijn E. M. van der Werf, et al.
Lecture notes in business information processing (2022), pp. 86-98
Closed Access | Times Cited: 12
Root-cause analysis of process-data quality problems
Robert Andrews, Fahame Emamjome, Arthur H. M. ter Hofstede, et al.
Journal of Business Analytics (2021) Vol. 5, Iss. 1, pp. 51-75
Open Access | Times Cited: 14
May I Take Your Order?
Wil M. P. van der Aalst, Luis F. R. Santos
Lecture notes in business information processing (2022), pp. 99-110
Closed Access | Times Cited: 10
Quality-Informed Process Mining: A Case for Standardised Data Quality Annotations
Kanika Goel, Sander J. J. Leemans, Niels Martin, et al.
ACM Transactions on Knowledge Discovery from Data (2022) Vol. 16, Iss. 5, pp. 1-47
Closed Access | Times Cited: 10
Towards interactive event log forensics: Detecting and quantifying timestamp imperfections
Dominik Fischer, Kanika Goel, Robert Andrews, et al.
Information Systems (2022) Vol. 109, pp. 102039-102039
Closed Access | Times Cited: 10
Bot Log Mining: Using Logs from Robotic Process Automation for Process Mining
Andreas Egger, Arthur H. M. ter Hofstede, Wolfgang Kratsch, et al.
Lecture notes in computer science (2020), pp. 51-61
Closed Access | Times Cited: 14
A Purpose-Guided Log Generation Framework
Andrea Burattin, Barbara Re, Lorenzo Rossi, et al.
Lecture notes in computer science (2022), pp. 181-198
Closed Access | Times Cited: 8
Process mining: software comparison, trends, and challenges
Octavio Loyola‐González
International Journal of Data Science and Analytics (2022) Vol. 15, Iss. 4, pp. 407-420
Closed Access | Times Cited: 8
Event Log Generation in MIMIC-IV Research Paper
Jonas Cremerius, Luise Pufahl, Finn Klessascheck, et al.
Lecture notes in business information processing (2023), pp. 302-314
Open Access | Times Cited: 4
SKTR: Trace Recovery from Stochastically Known Logs
Eli Bogdanov, Izack Cohen, Avigdor Gal
(2023)
Open Access | Times Cited: 4
Bringing Rigor to the Qualitative Evaluation of Process Mining Findings: An Analysis and a Proposal
Jelmer J. Koorn, Iris Beerepoot, Vinicius Stein Dani, et al.
(2021), pp. 120-127
Closed Access | Times Cited: 9
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