Interactive Statistical Computing
Interactive Statistical Computing is a paradigm of statistical software development in which the primary mode of engagement involves immediate, iterative feedback between the user and computational system to facilitate exploratory data analysis, model development, and inference.
137
Publications
11.4K
Citations
335
Authors
147
Institutions
Publications per year
2017–2026
26
137
1–5 of 137
335
4
h-index
3
h-index
3
h-index
3
h-index
2
h-index
1–5 of 335
147
University of California, Los Angeles
Los Angeles, United States
3 h-index
6 publications
185 citations
University of Washington
Seattle, United States
3 h-index
6 publications
774 citations

Harvard University Press
Cambridge, United States
2 h-index
6 publications
204 citations
Vienna University of Economics and Business
Vienna, Austria
2 h-index
2 publications
148 citations

University of Göttingen
Göttingen, Germany
2 h-index
2 publications
364 citations
University of Sheffield
Sheffield, United Kingdom
2 h-index
4 publications
140 citations

University of Massachusetts Amherst
Amherst Center, United States
2 h-index
2 publications
34 citations
Institute of Geography of the Slovak Academy of Sciences
Bratislava, Slovakia
2 h-index
2 publications
91 citations
1–8 of 147
JSS · 10 publications · 5.4K citations
10
h-index
8 publications · 178 citations
8
h-index
5 publications · 568 citations
5
h-index
JCGS · 4 publications · 437 citations
4
h-index
4 publications · 73 citations
4
h-index
1–5