Real-time Process Analytics

Real-Time Process Analytics is a methodological framework within process performance measurement that enables the continuous, immediate, and automated analysis of process execution data as it is generated, distinguishing it from retrospective or periodic analytical approaches by its timeliness and operational responsiveness.

23

Publications

676

Citations

57

Authors

30

Institutions

Publications per year

2017–2026

16

Authors

57

  1. MM
    Martin Matzner

    Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

    2 publications · 99 citations

    2

    h-index

  2. CJ
    Christian Janiesch

    University of Würzburg, Germany

    2 publications · 99 citations

    2

    h-index

  3. NS
    Nenad Stojanović

    FZI Research Center for Information Technology, Germany

    1 publications · 30 citations

    1

    h-index

  4. PS
    Peter Sagmeister

    University of Graz, Austria

    1 publications · 13 citations

    1

    h-index

  5. MI
    Masahiro Ito

    Ritsumeikan University, Japan

    1 publications · 10 citations

    1

    h-index

1–5 of 57

Venues

  1. Talanta

    1 publications · 49 citations

    1

    h-index

  2. 1

    h-index

  3. Sustainability

    1 publications · 17 citations

    1

    h-index

  4. CHIMIA International Journal for Chemistry

    1 publications · 13 citations

    1

    h-index

  5. Business Process Management Journal

    BPMJ · 1 publications · 71 citations

    1

    h-index

1–5