| Split miner: automated discovery of accurate and simple business process models from event logs A Augusto, R Conforti, M Dumas, M La Rosa, A Polyvyanyy Knowledge and Information Systems 59 (2), 251-284, 2019 | 280 | 2019 |
| Structuring acyclic process models A Polyvyanyy, L García-Bañuelos, M Dumas Information Systems 37 (6), 518-538, 2012 | 240 | 2012 |
| Robotic process mining: vision and challenges V Leno, A Polyvyanyy, M Dumas, M La Rosa, FM Maggi Business and Information Systems Engineering 63 (3), 301-314, 2021 | 217 | 2021 |
| Process compliance analysis based on behavioural profiles M Weidlich, A Polyvyanyy, N Desai, J Mendling, M Weske Information Systems 36 (7), 1009-1025, 2011 | 182 | 2011 |
| Simplified computation and generalization of the refined process structure tree A Polyvyanyy, J Vanhatalo, H Völzer Web Services and Formal Methods (WS-FM), 25-41, 2011 | 166 | 2011 |
| Supporting process model validation through natural language generation H Leopold, J Mendling, A Polyvyanyy IEEE Transactions on Software Engineering 40 (8), 818-840, 2014 | 162 | 2014 |
| Process querying: Enabling business intelligence through query-based process analytics A Polyvyanyy, C Ouyang, A Barros, WMP van der Aalst Decision Support Systems 100, 41-56, 2017 | 158 | 2017 |
| Semantic querying of business process models A Awad, A Polyvyanyy, M Weske Enterprise Distributed Object Computing Conference (EDOC), 85-94, 2008 | 132 | 2008 |
| Generating natural language texts from business process models H Leopold, J Mendling, A Polyvyanyy International Conference on Advanced Information Systems Engineering, 64-79, 2012 | 111 | 2012 |
| Process model abstraction: A slider approach A Polyvyanyy, S Smirnov, M Weske Enterprise Distributed Object Computing Conference (EDOC), 325-331, 2008 | 111 | 2008 |
| Business process model abstraction A Polyvyanyy, S Smirnov, M Weske Handbook on business process management 1: Introduction, methods, and …, 2014 | 109 | 2014 |
| Stochastic process mining: Earth movers’ stochastic conformance SJJ Leemans, WMP van der Aalst, T Brockhoff, A Polyvyanyy Information Systems 102, 101724, 2021 | 103 | 2021 |
| Process mining meets causal machine learning: Discovering causal rules from event logs ZD Bozorgi, I Teinemaa, M Dumas, M La Rosa, A Polyvyanyy 2020 2nd International Conference on Process Mining (ICPM), 129-136, 2020 | 102 | 2020 |
| Impact-driven process model repair A Polyvyanyy, WMPVD Aalst, AHMT Hofstede, MT Wynn ACM Transactions on Software Engineering and Methodology (TOSEM) 25 (4), 1-60, 2016 | 96 | 2016 |
| Visual drift detection for event sequence data of business processes A Yeshchenko, C Di Ciccio, J Mendling, A Polyvyanyy IEEE Transactions on Visualization and Computer Graphics 28 (8), 3050-3068, 2021 | 91 | 2021 |
| Causal Behavioural Profiles–Efficient Computation, Applications, and Evaluation M Weidlich, A Polyvyanyy, J Mendling, M Weske Fundamenta Informaticae (FUIN) 113 (3), 399-435, 2011 | 89 | 2011 |
| The triconnected abstraction of process models A Polyvyanyy, S Smirnov, M Weske Business Process Management (BPM), 229-244, 2009 | 86 | 2009 |
| Monotone precision and recall measures for comparing executions and specifications of dynamic systems A Polyvyanyy, A Solti, M Weidlich, CD Ciccio, J Mendling ACM Transactions on Software Engineering and Methodology (TOSEM) 29 (3), 1-41, 2020 | 83 | 2020 |
| Comprehensive process drift detection with visual analytics A Yeshchenko, C Di Ciccio, J Mendling, A Polyvyanyy International conference on conceptual modeling, 119-135, 2019 | 83 | 2019 |
| Large process models: a vision for business process management in the age of generative AI T Kampik, C Warmuth, A Rebmann, R Agam, LNP Egger, A Gerber, ... KI-Künstliche Intelligenz 39 (2), 81-95, 2025 | 74* | 2025 |
Marcello La RosaProfessor at University of Melbourne | Chief Executive Officer at ApromoreVerified email at unimelb.edu.au
