Concurrent Tree Data Structures

Concurrent Tree Data Structures is a class of tree-based data organization methods designed to support simultaneous access and modification by multiple processes or threads, distinguished by their implementation of synchronization mechanisms that ensure correctness and consistency under parallel execution.

71

Publications

3.6K

Citations

139

Authors

71

Institutions

Publications per year

2017–2026

6

Authors

139

  1. DL
    David Lomet

    Microsoft (United States), United States

    4 publications · 185 citations

    4

    h-index

  2. MJ
    Michael J. Carey

    University of Wisconsin–Madison, United States

    4 publications · 185 citations

    4

    h-index

  3. VS
    V. Srinivasan

    University of Wisconsin–Madison, United States

    4 publications · 180 citations

    4

    h-index

  4. PL
    Philip L. Lehman

    Carnegie Mellon University, United States

    3 publications · 740 citations

    3

    h-index

  5. EP
    Erez Petrank

    Technion – Israel Institute of Technology, Israel

    3 publications · 161 citations

    3

    h-index

1–5 of 139

Venues

  1. ACM Transactions on Database Systems

    TODS · 3 publications · 833 citations

    3

    h-index

  2. ACM SIGPLAN Notices

    3 publications · 97 citations

    3

    h-index

  3. 2

    h-index

  4. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 2 publications · 81 citations

    2

    h-index

  5. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 2 publications · 36 citations

    2

    h-index

1–5