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
Parents
93
Best Practices for Scientific Computing
Greg Wilson, D. A. Aruliah, C. Titus Brown et al. · PLoS Biology · 2014 · 721 citations · Full text
Software Carpentry: lessons learned
Greg Wilson · F1000Research · 2016 · 178 citations · Full text
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402
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245
University of California, Berkeley
Berkeley, United States
5 h-index
9 publications
1.3K citations

SIB Swiss Institute of Bioinformatics
Lausanne, Switzerland
4 h-index
5 publications
210 citations

University of Minnesota
Minneapolis, United States
4 h-index
6 publications
365 citations

Barcelona Supercomputing Center
Barcelona, Spain
3 h-index
6 publications
80 citations
Universitat Politècnica de Catalunya
Barcelona, Spain
3 h-index
7 publications
94 citations

Oak Ridge National Laboratory
Oak Ridge, United States
3 h-index
4 publications
84 citations

The University of Melbourne
Melbourne, Australia
3 h-index
6 publications
3.1K citations
University of Illinois Urbana-Champaign
Urbana, United States
3 h-index
10 publications
192 citations
1–8 of 245
8 publications · 429 citations
8
h-index
7 publications · 96 citations
7
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CRO · 4 publications · 299 citations
4
h-index
4 publications · 262 citations
4
h-index
3 publications · 45 citations
3
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1–5