Workflow mining: discovering process models from event logs

Abstract

loading...

About

This paper, published in 1950, received 1.2k indexed citations. Written by Wil M. P. van der Aalst, Ton Weijters and Laura Măruşter covering the research area of Management Information Systems, Computational Theory and Mathematics and Information Systems. It is primarily cited by scholars working on Management Information Systems (1.1k citations), Information Systems (866 citations) and Artificial Intelligence (439 citations). Published in IEEE Transactions on Knowledge and Data Engineering.

Countries where authors are citing Workflow mining: discovering process models from event logs

Since Specialization
Citations

This map shows the geographic impact of Workflow mining: discovering process models from event logs. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Workflow mining: discovering process models from event logs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Workflow mining: discovering process models from event logs more than expected).

Fields of papers citing Workflow mining: discovering process models from event logs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Workflow mining: discovering process models from event logs. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Workflow mining: discovering process models from event logs.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

This paper is also available at doi.org/10.1109/tkde.2004.47.

Explore hit-papers with similar magnitude of impact

Rankless by CCL
2026