Abstract Machines

Abstract Machines is a theoretical computational model that specifies the abstract execution environment for interpreting high-level programming languages by formally defining the states, transitions, and operations governing program evaluation.

394

Publications

39.5K

Citations

614

Authors

248

Institutions

Publications per year

2017–2026

50

Variants

Abstract Machine

Authors

614

  1. OD
    Olivier Danvy

    Aarhus University, Denmark

    25 publications · 1.2K citations

    19

    h-index

  2. YG
    Yuri Gurevich

    University of Michigan, United States

    19 publications · 1.3K citations

    14

    h-index

  3. ER
    Elvinia Riccobene

    University of Milan, Italy

    13 publications · 703 citations

    12

    h-index

  4. PS
    Patrizia Scandurra

    University of Bergamo, Italy

    10 publications · 548 citations

    10

    h-index

  5. AB
    Andreas Blass

    University of Michigan, United States

    9 publications · 393 citations

    9

    h-index

1–5 of 614

Venues

  1. BRICS Report Series

    17 publications · 506 citations

    14

    h-index

  2. Zenodo (CERN European Organization for Nuclear Research)

    Repository · 14 publications · 533 citations

    13

    h-index

  3. Journal of Functional Programming

    15 publications · 1.3K citations

    13

    h-index

  4. Theoretical Computer Science

    12 publications · 1.4K citations

    12

    h-index

  5. Electronic Notes in Theoretical Computer Science

    ENTCS · 11 publications · 186 citations

    11

    h-index

1–5