Computational Discovery

Computational Discovery is a scholarly contribution in the domain of scientific discovery that consists of a computational method, model, framework, or artifact designed to enable, enhance, or automate the process of discovering new knowledge through algorithmic or data-driven means.

154

Publications

8.9K

Citations

663

Authors

276

Institutions

Publications per year

2017–2026

81

Variants

Computational Scientific Discovery

Authors

663

  1. RG
    Richard G. Hennig

    Cornell University, United States

    4 publications · 526 citations

    4

    h-index

  2. SK
    Samar Khatiwala

    Columbia University, United States

    3 publications · 156 citations

    3

    h-index

  3. SO
    Sophy Oliver

    University of Oxford, United Kingdom

    3 publications · 156 citations

    3

    h-index

  4. JK
    Jun Korenaga

    Yale University, United States

    3 publications · 156 citations

    3

    h-index

  5. MJ
    M. J. Jarvis

    University of Oxford, United Kingdom

    3 publications · 156 citations

    3

    h-index

1–5 of 663

Venues

  1. Bioinformatics

    8 publications · 303 citations

    8

    h-index

  2. Journal of Chemical Information and Modeling

    JCIM · 6 publications · 674 citations

    6

    h-index

  3. Chemistry of Materials

    5 publications · 135 citations

    5

    h-index

  4. npj Computational Materials

    4 publications · 188 citations

    4

    h-index

  5. Science Advances

    4 publications · 491 citations

    4

    h-index

1–5