Consensus Convergence Analysis

Consensus Convergence Analysis is a formal methodological framework within distributed systems theory that characterizes the rate, conditions, and stability under which distributed agents asymptotically achieve agreement on a shared state or value through iterative coordination protocols.

613

Publications

66.9K

Citations

1.1K

Authors

481

Institutions

Publications per year

2017–2026

208

Authors

1.1K

  1. BD
    Brian D. O. Anderson

    Australian National University, Australia

    11 publications · 1.2K citations

    11

    h-index

  2. QL
    Qing Ling

    University of Science and Technology of China, China

    10 publications · 1.1K citations

    10

    h-index

  3. KH
    Karl Henrik Johansson

    KTH Royal Institute of Technology, Sweden

    10 publications · 601 citations

    10

    h-index

  4. WR
    Wei Ren

    University of California, Riverside, United States

    10 publications · 1.4K citations

    10

    h-index

  5. DM
    Deyuan Meng

    Beihang University, China

    9 publications · 610 citations

    9

    h-index

1–5 of 1.1K

Venues

  1. IEEE Transactions on Automatic Control

    65 publications · 22.2K citations

    40

    h-index

  2. IEEE Transactions on Signal Processing

    25 publications · 2.5K citations

    21

    h-index

  3. Automatica

    21 publications · 2.1K citations

    19

    h-index

  4. IEEE Transactions on Cybernetics

    17 publications · 989 citations

    16

    h-index

  5. International Journal of Systems Science

    14 publications · 724 citations

    13

    h-index

1–5