Scientific Computing Education

Scientific Computing Education is a scholarly framework within data science education that systematically develops competencies in computational methods, numerical algorithms, and high-performance computing to solve complex scientific problems through rigorous, reproducible, and scalable computational experimentation.

93

Publications

6.4K

Citations

402

Authors

245

Institutions

Publications per year

2017–2026

23

Authors

402

  1. GW
    Greg Wilson

    University of Toronto, Canada

    4 publications · 985 citations

    4

    h-index

  2. SI
    Steven I. Gordon

    The Ohio State University, United States

    3 publications · 50 citations

    3

    h-index

  3. CG
    Carole Goble

    University of Manchester, United Kingdom

    2 publications · 105 citations

    2

    h-index

  4. CR
    Coline Royaux

    Pennsylvania State University, United States

    2 publications · 1.5K citations

    2

    h-index

  5. PJ
    Pratik Jagtap

    University of Minnesota, United States

    2 publications · 1.5K citations

    2

    h-index

1–5 of 402

Venues

  1. PLoS Computational Biology

    8 publications · 429 citations

    8

    h-index

  2. Computing in Science & Engineering

    7 publications · 96 citations

    7

    h-index

  3. Choice Reviews Online

    CRO · 4 publications · 299 citations

    4

    h-index

  4. F1000Research

    4 publications · 262 citations

    4

    h-index

  5. Procedia Computer Science

    3 publications · 45 citations

    3

    h-index

1–5