Abstract Data Types

Abstract Data Type is a mathematical model in computer science that specifies a type of data structure through its behavior and operations, distinguished from other data types by encapsulating the data and defining its interface independently of its implementation.

571

Publications

41.8K

Citations

989

Authors

334

Institutions

Publications per year

2017–2026

21

Authors

989

  1. MH
    Maurice Herlihy

    Brown University, United States

    11 publications · 4.1K citations

    11

    h-index

  2. WE
    William E. Weihl

    Massachusetts Institute of Technology, United States

    12 publications · 1.1K citations

    11

    h-index

  3. JV
    John V. Guttag

    Massachusetts Institute of Technology, United States

    9 publications · 1.9K citations

    9

    h-index

  4. MJ
    Michael J. Carey

    University of Wisconsin–Madison, United States

    7 publications · 691 citations

    7

    h-index

  5. BL
    Barbara Liskov

    Massachusetts Institute of Technology, United States

    7 publications · 1.6K citations

    7

    h-index

1–5 of 989

Venues

  1. IEEE Transactions on Software Engineering

    TSE · 31 publications · 1.9K citations

    20

    h-index

  2. ACM SIGPLAN Notices

    24 publications · 1.4K citations

    16

    h-index

  3. 13

    h-index

  4. Software Practice and Experience

    10 publications · 552 citations

    10

    h-index

  5. Communications of the ACM

    9 publications · 1.2K citations

    9

    h-index

1–5