Distributed Computing

Distributed Computing is a computational paradigm within statistical computing that involves the coordination of multiple autonomous processing units, connected via a network, to solve a problem by dividing tasks across nodes while managing communication, synchronization, and data distribution to achieve scalable and efficient computation.

32K

Publications

1.9M

Citations

54.3K

Authors

5.6K

Institutions

Publications per year

2017–2026

7K

Authors

54.3K

  1. IS
    Ion Stoica

    University of California, Berkeley, United States

    75 publications · 42.5K citations

    55

    h-index

  2. AH
    Ali H. Sayed

    University of California, Los Angeles, United States

    107 publications · 11.2K citations

    47

    h-index

  3. IF
    Ian Foster

    Argonne National Laboratory, United States

    87 publications · 15.5K citations

    45

    h-index

  4. SS
    Scott Shenker

    University of California, Berkeley, United States

    53 publications · 34.3K citations

    42

    h-index

  5. JD
    Jack Dongarra

    University of Tennessee at Knoxville, United States

    88 publications · 7.8K citations

    41

    h-index

1–5 of 54.3K

Venues

  1. IEEE Transactions on Automatic Control

    353 publications · 55K citations

    105

    h-index

  2. arXiv (Cornell University)

    Repository · 949 publications · 55K citations

    100

    h-index

  3. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 561 publications · 32.2K citations

    91

    h-index

  4. IEEE Transactions on Signal Processing

    291 publications · 28.3K citations

    88

    h-index

  5. Automatica

    223 publications · 23.8K citations

    76

    h-index

1–5