| Fundamentals of business process management M Dumas, M La Rosa, J Mendling, HA Reijers Springer 1, 2, 2013 | 5740* | 2013 |
| Process mining manifesto W Van Der Aalst, A Adriansyah, AKA De Medeiros, F Arcieri, T Baier, ... International conference on business process management, 169-194, 2011 | 2182 | 2011 |
| Blockchains for business process management-challenges and opportunities J Mendling, I Weber, WVD Aalst, JV Brocke, C Cabanillas, F Daniel, ... ACM Transactions on Management Information Systems (TMIS) 9 (1), 1-16, 2018 | 1077 | 2018 |
| Predictive business process monitoring with LSTM neural networks N Tax, I Verenich, M La Rosa, M Dumas International conference on advanced information systems engineering, 477-492, 2017 | 777 | 2017 |
| Automated discovery of process models from event logs: Review and benchmark A Augusto, R Conforti, M Dumas, M La Rosa, FM Maggi, A Marrella, ... IEEE transactions on knowledge and data engineering 31 (4), 686-705, 2018 | 625 | 2018 |
| Outcome-oriented predictive process monitoring: Review and benchmark I Teinemaa, M Dumas, ML Rosa, FM Maggi ACM Transactions on Knowledge Discovery from Data (TKDD) 13 (2), 1-57, 2019 | 480 | 2019 |
| Business process management: Don’t forget to improve the process! WMP Van Der Aalst, M La Rosa, FM Santoro Business & Information Systems Engineering 58 (1), 1-6, 2016 | 433 | 2016 |
| APROMORE: An advanced process model repository M La Rosa, HA Reijers, WMP Van der Aalst, RM Dijkman, J Mendling, ... Expert Systems with Applications, 2010 | 334 | 2010 |
| Configurable workflow models F Gottschalk, WMP Van Der Aalst, MH Jansen-Vullers, M La Rosa International Journal of Cooperative Information Systems 17 (02), 177-221, 2008 | 330 | 2008 |
| Business process variability modeling: A survey ML Rosa, WMPVD Aalst, M Dumas, FP Milani ACM Computing Surveys (CSUR) 50 (1), 1-45, 2017 | 310 | 2017 |
| Business process model merging: An approach to business process consolidation M La Rosa, M Dumas, R Uba, R Dijkman ACM Transactions on software Engineering and Methodology (TOSEM) 22 (2), 1-42, 2013 | 310 | 2013 |
| Introduction to business process management M Dumas, M La Rosa, J Mendling, HA Reijers Fundamentals of business process management, 1-33, 2018 | 309 | 2018 |
| Configurable multi-perspective business process models M La Rosa, M Dumas, AHM Ter Hofstede, J Mendling Information Systems 36 (2), 313-340, 2011 | 307 | 2011 |
| 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 |
| Survey and cross-benchmark comparison of remaining time prediction methods in business process monitoring I Verenich, M Dumas, ML Rosa, FM Maggi, I Teinemaa ACM Transactions on Intelligent Systems and Technology (TIST) 10 (4), 1-34, 2019 | 272 | 2019 |
| Filtering out infrequent behavior from business process event logs R Conforti, M La Rosa, AHM Ter Hofstede IEEE Transactions on Knowledge and Data Engineering 29 (2), 300-314, 2016 | 253 | 2016 |
| AI-augmented business process management systems: a research manifesto M Dumas, F Fournier, L Limonad, A Marrella, M Montali, JR Rehse, ... ACM Transactions on Management Information Systems 14 (1), 1-19, 2023 | 252 | 2023 |
| Managing large collections of business process models—Current techniques and challenges R Dijkman, M La Rosa, HA Reijers Computers in Industry 63 (2), 91-97, 2012 | 244 | 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 |
| A recommendation system for predicting risks across multiple business process instances R Conforti, M De Leoni, M La Rosa, WMP Van Der Aalst, ... Decision Support Systems 69, 1-19, 2015 | 216 | 2015 |
Marlon DumasProfessor at University of Tartu | Chief Product Officer at ApromoreVerified email at ut.ee
