Enhancing Event Log Quality: Detecting and Quantifying Timestamp Imperfections. - Dominik Andreas Fischer; Kanika Goel 002; Robert Andrews 001; Christopher G. J. van Dun; Moe Thandar Wynn; Maximilian Röglinger (BPM, 2020)

Automated Process (Re-)Design. - Maximilian Röglinger; Christopher G. J. van Dun; Tobias Fehrer; Dominik Andreas Fischer; Linda Moder; Wolfgang Kratsch (Problems@BPM, 2021)

Opportunities and Challenges for Process Mining in Organizations: Results of a Delphi Study. - Niels Martin; Dominik Andreas Fischer; Georgi Dimov Kerpedzhiev; Kanika Goel 002; Sander J. J. Leemans; Maximilian Röglinger; Wil M. P. van der Aalst; Marlon Dumas; Marcello La Rosa; Moe Thandar Wynn (Bus. Inf. Syst. Eng., 2021)

A Tool for Assisted Business Process Redesign. - Tobias Fehrer; Dominik Andreas Fischer; Sander J. J. Leemans; Maximilian Röglinger; Moe Thandar Wynn (BPM (PhD/Demos), 2022)

An assisted approach to business process redesign. - Tobias Fehrer; Dominik Andreas Fischer; Sander J. J. Leemans; Maximilian Röglinger; Moe Thandar Wynn (Decis. Support Syst., 2022)

Towards interactive event log forensics: Detecting and quantifying timestamp imperfections. - Dominik Andreas Fischer; Kanika Goel 002; Robert Andrews 001; Christopher G. J. van Dun; Moe Thandar Wynn; Maximilian Röglinger (Inf. Syst., 2022)

Advancing Process Mining from the Core : Managing Process Mining Project Portfolios from Data Processing to Process Improvement - Dominik Andreas Fischer (2023)

The biggest business process management problems to solve before we die. - Iris Beerepoot; Claudio Di Ciccio; Hajo A. Reijers; Stefanie Rinderle-Ma; Wasana Bandara; Andrea Burattin; Diego Calvanese; Tianwa Chen; Izack Cohen; Benoît Depaire; Gemma Di Federico; Marlon Dumas; et al. (Comput. Ind., 2023)

Process-Data Quality: The True Frontier of Process Mining. - Arthur H. M. ter Hofstede; Agnes Koschmider; Andrea Marrella; Robert Andrews 001; Dominik Andreas Fischer; Sareh Sadeghianasl; Moe Thandar Wynn; Marco Comuzzi; Jochen De Weerdt; Kanika Goel 002; Niels Martin; Pnina Soffer (ACM J. Data Inf. Qual., 2023)