Computational Science Assessment
Computational Science Assessment is a scholarly evaluation methodology that systematically measures the accuracy, efficiency, and applicability of computational models, algorithms, or simulations within scientific and engineering domains to determine their validity and reliability in representing real-world phenomena.
94
Publications
6.2K
Citations
336
Authors
197
Institutions
Publications per year
2017–2026
37
Parents
94
Lecture notes in computational science and engineering
Ignazio Maria Viola, Raffaele Ponzini, D. Rocchi et al. · 2010 · 809 citations
Natural Sciences, Computational Engineering, Computer Science +13
The case for open computer programs
Darrel Ince, Leslie Hatton, John Graham-Cumming · Nature · 2012 · 553 citations
Why Jupyter is data scientists’ computational notebook of choice
Jeffrey M. Perkel · Nature · 2018 · 377 citations
1–5 of 94
336
3
h-index
3
h-index
2
h-index
2
h-index
Universidad Nacional de Educación a Distancia, Spain
2 publications · 172 citations
2
h-index
1–5 of 336
197
Michigan State University
East Lansing, United States
4 h-index
8 publications
454 citations

University of Amsterdam
Amsterdam, The Netherlands
3 h-index
7 publications
269 citations
The Ohio State University
Columbus, United States
3 h-index
3 publications
90 citations

Sorbonne Université
Paris, France
3 h-index
8 publications
726 citations
Los Alamos National Laboratory
Los Alamos, United States
3 h-index
3 publications
242 citations

University of Tübingen
Tübingen, Germany
2 h-index
3 publications
183 citations
George Washington University
Washington, United States
2 h-index
2 publications
153 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
13 publications
958 citations
1–8 of 197
11 publications · 341 citations
10
h-index
3 publications · 30 citations
3
h-index
3 publications · 48 citations
3
h-index
2 publications · 48 citations
2
h-index
2 publications · 29 citations
2
h-index
1–5