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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:

A framework for efficiently mining the organisational perspective of business processes
Stefan Schönig, Cristina Cabanillas, Stefan Jablonski, et al.
Decision Support Systems (2016) Vol. 89, pp. 87-97
Open Access | Times Cited: 58

Showing 1-25 of 58 citing articles:

Process Science in Action: A Literature Review on Process Mining in Business Management
Pierluigi Zerbino, Alessandro Stefanini, Davide Aloini
Technological Forecasting and Social Change (2021) Vol. 172, pp. 121021-121021
Closed Access | Times Cited: 66
Discovery of Multi-perspective Declarative Process Models
Stefan Schönig, Claudio Di Ciccio, Fabrizio Maria Maggi, et al.
Lecture notes in computer science (2016), pp. 87-103
Closed Access | Times Cited: 62
How is process mining technology used by organizations? A systematic literature review of empirical studies
Malte Thiede, Daniel Fuerstenau, Ana Paula Bezerra Barquet
Business Process Management Journal (2018) Vol. 24, Iss. 4, pp. 900-922
Closed Access | Times Cited: 62
Resource allocation in business process executions—A systematic literature study
Luise Pufahl, Fabian Stiehle, Sven Ihde, et al.
Information Systems (2025) Vol. 132, pp. 102541-102541
Open Access
Run-time prediction of business process indicators using evolutionary decision rules
Alfonso E. Márquez Chamorro, Manuel Resinas, Antonio Ruiz–Cortés, et al.
Expert Systems with Applications (2017) Vol. 87, pp. 1-14
Open Access | Times Cited: 61
Using process mining as an assurance tool in the three-lines-model
Marc Eulerich, Qing Huang, Justin Pawlowski, et al.
International Journal of Accounting Information Systems (2025) Vol. 56, pp. 100731-100731
Open Access
A Conceptual Framework for Resource Analysis in Process Mining
Christoffer Rubensson, Luise Pufahl, Jan Mendling
Lecture notes in business information processing (2025), pp. 183-202
Closed Access
Explaining process dynamics: a Process Mining Context Taxonomy for sense-making
Sandro Franzoi, Sophie Hartl, Thomas Grisold, et al.
Deleted Journal (2025) Vol. 2, Iss. 1
Open Access
BIM Log Mining: Measuring Design Productivity
Limao Zhang, Ming Wen, Baabak Ashuri
Journal of Computing in Civil Engineering (2017) Vol. 32, Iss. 1
Closed Access | Times Cited: 47
Declarative and Hybrid Process Discovery: Recent Advances and Open Challenges
Tijs Slaats
Journal on Data Semantics (2020) Vol. 9, Iss. 1, pp. 3-20
Closed Access | Times Cited: 31
OrdinoR: A framework for discovering, evaluating, and analyzing organizational models using event logs
Jing Yang, Chun Ouyang, Wil M. P. van der Aalst, et al.
Decision Support Systems (2022) Vol. 158, pp. 113771-113771
Open Access | Times Cited: 16
On the Contextualization of Event-Activity Mappings
Agnes Koschmider, Felix Mannhardt, Tobias Heuser
Lecture notes in business information processing (2019), pp. 445-457
Open Access | Times Cited: 27
An analytic approach to assessing organizational citizenship behavior
Özlem Ayaz Arda, Dursun Delen, Ekrem Tatoğlu, et al.
Decision Support Systems (2017) Vol. 103, pp. 9-23
Open Access | Times Cited: 26
Designing a Process Mining-Enabled Decision Support System for Business Process Standardization in ERP Implementation Projects
Christian Fleig, Dominik Augenstein, Alexander Maedche
Lecture notes in business information processing (2018), pp. 228-244
Closed Access | Times Cited: 25
Towards a Taxonomy of Human Resource Allocation Criteria
Michael Arias, Jorge Muñoz-Gama, Marcos Sepúlveda
Lecture notes in business information processing (2018), pp. 475-483
Closed Access | Times Cited: 24
A framework for modeling and executing task-Specific resource allocations in business processes
Sven Ihde, Luise Pufahl, Maximilian Völker, et al.
Computing (2022) Vol. 104, Iss. 11, pp. 2405-2429
Open Access | Times Cited: 13
A Multi-criteria Approach for Team Recommendation
Michael Arias, Jorge Muñoz-Gama, Marcos Sepúlveda
Lecture notes in business information processing (2017), pp. 384-396
Closed Access | Times Cited: 18
Interest-driven discovery of local process models
Niek Tax, Benjamin Dalmas, Natalia Sidorova, et al.
Information Systems (2018) Vol. 77, pp. 105-117
Open Access | Times Cited: 16
Process- and Resource-Aware Information Systems
Cristina Cabanillas
(2016), pp. 1-10
Open Access | Times Cited: 15
DisCoveR: accurate and efficient discovery of declarative process models
Christoffer Olling Back, Tijs Slaats, Thomas Hildebrandt, et al.
International Journal on Software Tools for Technology Transfer (2021) Vol. 24, Iss. 4, pp. 563-587
Closed Access | Times Cited: 13
Automatic Resource Allocation in Business Processes: A Systematic Literature Survey
Luise Pufahl, Sven Ihde, Fabian Stiehle, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 12
Designing synchronizer module in CMMS software based on lean smart maintenance and process mining
Seyed Hesam Hosseinizadeh Mazloumi, Alireza Moini, Mehrdad Agha Mohammad Ali Kermani
Journal of Quality in Maintenance Engineering (2022) Vol. 29, Iss. 2, pp. 509-529
Closed Access | Times Cited: 7
A positive deviance approach to eliminate wastes in business processes
Pavlos Delias
Industrial Management & Data Systems (2017) Vol. 117, Iss. 7, pp. 1323-1339
Closed Access | Times Cited: 11
Finding the “Liberos”: Discover Organizational Models with Overlaps
Jing Yang, Chun Ouyang, Maolin Pan, et al.
Lecture notes in computer science (2018), pp. 339-355
Closed Access | Times Cited: 11
An Empirical Investigation of Different Classifiers, Encoding, and Ensemble Schemes for Next Event Prediction Using Business Process Event Logs
Bayu Adhi Tama, Marco Comuzzi, Jonghyeon Ko
ACM Transactions on Intelligent Systems and Technology (2020) Vol. 11, Iss. 6, pp. 1-34
Open Access | Times Cited: 9
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