Event Causality

Event Causality is a theoretical construct in message ordering that identifies and formalizes the causal relationships between discrete events in distributed systems, distinguishing itself by specifying the conditions under which one event is guaranteed to precede another based on message transmission and reception dependencies.

99

Publications

3.4K

Citations

260

Authors

135

Institutions

Publications per year

2017–2026

30

Authors

260

  1. YC
    Yubo Chen

    University of Chinese Academy of Sciences, China

    4 publications · 275 citations

    4

    h-index

  2. JZ
    Jun Zhao

    Chinese Academy of Sciences, China

    4 publications · 275 citations

    4

    h-index

  3. MT
    Makoto Takizawa

    Rissho University, Japan

    4 publications · 63 citations

    4

    h-index

  4. GW
    Glynn Winskel

    University of Cambridge, United Kingdom

    3 publications · 69 citations

    3

    h-index

  5. XZ
    Xinyu Zuo

    University of Chinese Academy of Sciences, China

    3 publications · 187 citations

    3

    h-index

1–5 of 260

Venues

  1. Philosophical Studies

    4 publications · 120 citations

    4

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 108 citations

    2

    h-index

  3. Paediatrics & Child Health

    2 publications · 25 citations

    2

    h-index

  4. Knowledge-Based Systems

    2 publications · 78 citations

    2

    h-index

  5. SIMULATION

    2 publications · 32 citations

    2

    h-index

1–5