Marcello La Rosa

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Marlon DumasUniversity of TartuVerified email at ut.ee
Arthur ter HofstedeQueensland University of TechnologyVerified email at qut.edu.au
Jan MendlingEinstein Professor, Department of Computer Science, Humboldt-Universität zu BerlinVerified email at hu-berlin.de
Hajo A. ReijersProfessor of Computer Science, Utrecht University || Eindhoven University of TechnologyVerified email at uu.nl
Wil van der AalstProfessor of Process and Data Science, RWTH Aachen University || Fraunhofer FIT || TU/e || TiUVerified email at pads.rwth-aachen.de
Raffaele ConfortiDirector & Co-founder of Process DiamondVerified email at processdiamond.com
Fabrizio MaggiAssociate Professor, Free University of Bozen-BolzanoVerified email at ut.ee
Luciano García-BañuelosTecnologico de Monterrey, MexicoVerified email at tec.mx
Adriano AugustoSchool of Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Remco DijkmanEindhoven University of TechnologyVerified email at tue.nl
Dr. Florian GottschalkBasycon Unternehmensberatung GmbHVerified email at basycon.com
Artem PolyvyanyySchool of Computing and Information Systems, The University of MelbourneVerified email at unimelb.edu.au
Ilya VerenichSchool of Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Chun OuyangQueensland University of TechnologyVerified email at qut.edu.au
Michael AdamsSenior Lecturer, Queensland University of TechnologyVerified email at qut.edu.au
Alireza OstovarProcess DiamondVerified email at processdiamond.com
Hoang Nguyen (Bruce)School of Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Abderrahmane MAARADJIa.maaradji@gmail.comVerified email at parisdescartes.fr
Abel Armas-CervantesSchool of Computing and Information Systems, The University of MelbourneVerified email at unimelb.edu.au
Giancarlo FortinoFull Professor of Computer Engineering, Università della Calabria. Highly Cited Researcher 2020Verified email at unical.it

Marcello La Rosa

School of Computing and Information Systems, University of Melbourne

Verified email at unimelb.edu.au - Homepage

Process Mining Business Process Management Information Systems Business Intelligence bpm@unimelb


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Fundamentals of business process management M Dumas, M La Rosa, J Mendling, HA Reijers Springer 1, 2, 2013	2297	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	1113	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	384	2018
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	304	2008
Business process management: Models, techniques, and empirical studies A Wil, J Desel, A Oberweis Springer, 2003	276*	2003
Configurable multi-perspective business process models M La Rosa, M Dumas, AHM Ter Hofstede, J Mendling Information Systems 36 (2), 313-340, 2011	260	2011
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	253	2013
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	251	2017
APROMORE: An advanced process model repository M La Rosa, HA Reijers, WMP Van der Aalst, RM Dijkman, J Mendling, ... Expert Systems with Applications, 2010	248	2010
Managing large collections of business process models-current techniques and challenges R Dijkman, M La Rosa, H Reijers Computers in Industry 63 (2), 91-97, 2012	207	2012
Questionnaire-based variability modeling for system configuration M La Rosa, WMP van der Aalst, M Dumas, AHM Ter Hofstede Software & Systems Modeling 8 (2), 251-274, 2009	187	2009
Business process management WMP Van Der Aalst, M La Rosa, FM Santoro Business & Information Systems Engineering 58 (1), 1-6, 2016	184	2016
Business process variability modeling: A survey ML Rosa, WMPVD Aalst, M Dumas, FP Milani ACM Computing Surveys (CSUR) 50 (1), 1-45, 2017	182	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	166	2018
Managing process model complexity via concrete syntax modifications M La Rosa, AHM Ter Hofstede, P Wohed, HA Reijers, J Mendling, ... IEEE Transactions on Industrial Informatics 7 (2), 255-265, 2011	151	2011
Merging business process models M La Rosa, M Dumas, R Uba, R Dijkman OTM Confederated International Conferences" On the Move to Meaningful …, 2010	147	2010
Managing process model complexity via abstract syntax modifications M La Rosa, P Wohed, J Mendling, AHM Ter Hofstede, HA Reijers, ... IEEE Transactions on Industrial Informatics 7 (4), 614-629, 2011	144	2011
Preserving correctness during business process model configuration WMP van der Aalst, M Dumas, F Gottschalk, AHM Ter Hofstede, ... Formal Aspects of Computing 22 (3), 459-482, 2010	143	2010
A recommendation system for predicting risks across multiple business process instances R Conforti, M de Leoni, M La Rosa, WMP van der Aalst, AHM ter Hofstede Decision Support Systems 69, 1-19, 2015	134	2015
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	121	2016

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