Partial Evaluation

Partial Evaluation is a program optimization technique in the field of programming language implementation that belongs to the class of compile-time specialization methods, distinguished by its ability to evaluate and simplify programs by fixing certain inputs while leaving others residual, thereby generating a more efficient specialized version of the original program.

407

Publications

18.3K

Citations

628

Authors

265

Institutions

Publications per year

2017–2026

33

Authors

628

  1. OD
    Olivier Danvy

    Aarhus University, Denmark

    29 publications · 1.3K citations

    18

    h-index

  2. ML
    Michaël Leuschel

    Heinrich Heine University Düsseldorf, Germany

    14 publications · 451 citations

    13

    h-index

  3. CC
    Charles Consel

    Institut national de recherche en sciences et technologies du numérique, France

    13 publications · 921 citations

    12

    h-index

  4. ND
    Neil D. Jones

    University of Copenhagen, Denmark

    10 publications · 626 citations

    10

    h-index

  5. GV
    Germán Vidal

    Universitat Politècnica de València, Spain

    11 publications · 308 citations

    10

    h-index

1–5 of 628

Venues

  1. Journal of Functional Programming

    12 publications · 630 citations

    12

    h-index

  2. ACM SIGPLAN Notices

    15 publications · 314 citations

    11

    h-index

  3. 11

    h-index

  4. BRICS Report Series

    15 publications · 251 citations

    11

    h-index

  5. LISP and Symbolic Computation

    7 publications · 409 citations

    7

    h-index

1–5