Process Mining Metrics

Process Mining Metrics is a quantitative measurement framework that belongs to the class of process performance indicators and is differentiated by its specific focus on extracting, analyzing, and evaluating event log data to assess the efficiency, compliance, and effectiveness of business processes as revealed through discovered process models.

81

Publications

5.6K

Citations

234

Authors

86

Institutions

Publications per year

2017–2026

37

Authors

234

  1. WM
    Wil M. P. van der Aalst

    Eindhoven University of Technology, Netherlands

    15 publications · 2.1K citations

    14

    h-index

  2. AR
    A. Rozinat

    Eindhoven University of Technology, Netherlands

    5 publications · 190 citations

    5

    h-index

  3. MS
    Minseok Song

    Pohang University of Science and Technology, South Korea

    4 publications · 632 citations

    4

    h-index

  4. JM
    Jan Mendling

    Vienna University of Economics and Business, Austria

    4 publications · 215 citations

    4

    h-index

  5. BB
    Bart Baesens

    KU Leuven, Belgium

    4 publications · 295 citations

    4

    h-index

1–5 of 234

Venues

  1. Information Systems

    8 publications · 1.4K citations

    8

    h-index

  2. Decision Support Systems

    4 publications · 211 citations

    4

    h-index

  3. Expert Systems with Applications

    4 publications · 547 citations

    4

    h-index

  4. Business & Information Systems Engineering

    BISE · 2 publications · 174 citations

    2

    h-index

  5. Computers in Industry

    2 publications · 694 citations

    2

    h-index

1–5