Symbol Table Data Structures

Symbol Table Data Structures is a formal computational framework that organizes and manages identifiers and their associated attributes within a compiler or interpreter, distinguished by its structured representation and efficient lookup mechanisms for programming language symbols.

26

Publications

1.5K

Citations

49

Authors

32

Institutions

Publications per year

2017–2026

4

Authors

49

  1. JV
    John V. Guttag

    Massachusetts Institute of Technology, United States

    3 publications · 515 citations

    3

    h-index

  2. AM
    Alistair Moffat

    The University of Melbourne, Australia

    2 publications · 40 citations

    2

    h-index

  3. MG
    Meinolf Geck

    RWTH Aachen University, Germany

    2 publications · 342 citations

    2

    h-index

  4. FL
    Frank L�beck

    Heidelberg University, Germany

    2 publications · 342 citations

    2

    h-index

  5. GM
    Gunter Malle

    University of Kaiserslautern, Germany

    2 publications · 342 citations

    2

    h-index

1–5 of 49

Venues

  1. Software Practice and Experience

    4 publications · 271 citations

    4

    h-index

  2. 2

    h-index

  3. Communications of the ACM

    2 publications · 472 citations

    2

    h-index

  4. DOAJ (DOAJ: Directory of Open Access Journals)

    Repository · 2 publications · 44 citations

    2

    h-index

  5. Integration

    1 publications · 11 citations

    1

    h-index

1–5