Distributed Data Structures

Distributed Data Structures is a class of data structures designed for parallel computing environments in which the constituent data elements are partitioned across multiple interconnected processing nodes, enabling concurrent access and manipulation while maintaining structural consistency through explicit communication and synchronization protocols.

223

Publications

9.8K

Citations

562

Authors

195

Institutions

Publications per year

2017–2026

19

Authors

562

  1. WL
    Witold Litwin

    Université Paris Dauphine-PSL, France

    10 publications · 585 citations

    10

    h-index

  2. MK
    Marcos K. Aguilera

    Hewlett-Packard (United States), United States

    7 publications · 635 citations

    7

    h-index

  3. JS
    Joel Saltz

    Stony Brook University, United States

    6 publications · 214 citations

    6

    h-index

  4. KY
    Katherine Yelick

    University of California, Berkeley, United States

    4 publications · 107 citations

    4

    h-index

  5. AS
    Alan Sussman

    University of Maryland, College Park, United States

    4 publications · 124 citations

    4

    h-index

1–5 of 562

Venues

  1. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 8 publications · 437 citations

    8

    h-index

  2. IEEE Transactions on Software Engineering

    TSE · 5 publications · 215 citations

    5

    h-index

  3. ACM Transactions on Computer Systems

    TOCS · 5 publications · 444 citations

    5

    h-index

  4. Journal of Parallel and Distributed Computing

    4 publications · 70 citations

    4

    h-index

  5. 4

    h-index

1–5