Process Mining

By Wil van der Aalst. Springer Berlin Heidelberg, 2016

893 citations recorded by the source corpus.

Subfields: Information Systems, Management Information Systems, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/f670069c81466f625d1d9a315e8cb419a79f2590

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems

1. Bernd Weber
2. Manfred Reichert
3. Wil M.P. van der Aalst
4. J. Recker
5. Jan Mendling
6. Marlon Dumas
7. Hajo Alexander Reijers
8. Claudio Di Ciccio

In Management Information Systems

1. Wil M.P. van der Aalst
2. Bernd Weber
3. Manfred Reichert
4. Jan Mendling
5. J. Recker
6. Hajo Alexander Reijers
7. Marlon Dumas
8. Mathias Weske

In Management Science and Operations Research

1. Bernd Weber
2. Manfred Reichert
3. Mathias Weske
4. Wil M.P. van der Aalst
5. Frank Leymann
6. Luciano García-Bañuelos
7. Stefan Schulte
8. Marlon Dumas

Citations in the corpus

• Robotic Process Automation (2016, neutral): “There is also an obvious link with process mining [1,7].”
• Blockchains for Business Process Management - Challenges and Opportunities (2017, methodology): “Currently, classical methods of process discovery and elicitation are complemented by various recent process mining techniques for structured and non-encrypted data [van der Aalst, 2016].”