Temporal Process Mining

Temporal Process Mining is a subfield of process mining that focuses on the analysis and modeling of time-related aspects in business processes, distinguishing itself by explicitly incorporating temporal constraints, durations, and timestamps to uncover the chronological behavior and performance dynamics of process instances.

16

Publications

1.8K

Citations

68

Authors

38

Institutions

Publications per year

2017–2026

9

Authors

68

  1. JV
    Jan Vanthienen

    KU Leuven, Belgium

    2 publications · 249 citations

    2

    h-index

  2. EA
    Eduardo Alves Portela Santos

    Pontifícia Universidade Católica do Paraná, Brazil

    2 publications · 400 citations

    2

    h-index

  3. BB
    Bart Baesens

    KU Leuven, Belgium

    2 publications · 249 citations

    2

    h-index

  4. EE
    Edson Emílio Scalabrin

    Pontifícia Universidade Católica do Paraná, Brazil

    2 publications · 400 citations

    2

    h-index

  5. DM
    Denise Maria Vecino Sato

    Pontifícia Universidade Católica do Paraná, Brazil

    2 publications · 400 citations

    2

    h-index

1–5 of 68

Venues

  1. Information Systems

    3 publications · 966 citations

    3

    h-index

  2. Computers in Industry

    2 publications · 87 citations

    2

    h-index

  3. Information Sciences

    2 publications · 44 citations

    2

    h-index

  4. Procedia Computer Science

    1 publications · 17 citations

    1

    h-index

  5. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 50 citations

    1

    h-index

1–5