Distributed Consensus

Distributed Consensus is a fundamental problem in distributed computing where multiple autonomous processes in a networked system must agree on a single data value or state despite potential failures, asynchrony, or concurrent updates, distinguishing it from centralized or isolated decision-making mechanisms.

8.1K

Publications

560.7K

Citations

12K

Authors

2.4K

Institutions

Publications per year

2017–2026

4.4K

Authors

12K

  1. GW
    Guanghui Wen

    Southeast University, China

    111 publications · 11.6K citations

    54

    h-index

  2. WR
    Wei Ren

    University of California, Riverside, United States

    70 publications · 15.5K citations

    49

    h-index

  3. JC
    Jinde Cao

    Southeast University, China

    107 publications · 6.7K citations

    47

    h-index

  4. WY
    Wenwu Yu

    Southeast University, China

    70 publications · 12.1K citations

    46

    h-index

  5. GC
    Guanrong Chen

    City University of Hong Kong, Hong Kong SAR China

    80 publications · 13.5K citations

    46

    h-index

1–5 of 12K

Venues

  1. IEEE Transactions on Automatic Control

    400 publications · 69.3K citations

    126

    h-index

  2. Automatica

    300 publications · 44K citations

    111

    h-index

  3. IEEE Transactions on Cybernetics

    303 publications · 30.8K citations

    96

    h-index

  4. 69

    h-index

  5. IEEE Transactions on Signal Processing

    110 publications · 10.7K citations

    56

    h-index

1–5