Workflow Automation Frameworks
Workflow Automation Frameworks is a computational infrastructure that enables the systematic design, execution, monitoring, and management of data-driven workflows by orchestrating interdependent tasks across distributed environments, distinguished by its structured approach to automating complex data pipelines through defined workflows, scheduling, and error handling mechanisms.
144
Publications
11K
Citations
749
Authors
290
Institutions
Publications per year
2017–2026
48
Parents
144
Sustainable data analysis with Snakemake
Felix Mölder, Kim Philipp Jablonski, Brice Letcher et al. · F1000Research · 2021 · 1.8K citations · Full text
Sustainable data analysis with Snakemake
Felix Mölder, Kim Philipp Jablonski, Brice Letcher et al. · F1000Research · 2021 · 855 citations · Full text
Automated data reduction workflows for astronomy
Astronomy and Astrophysics · 2013 · 709 citations · Full text
Computing, Astronomy, Data Science +16
1–5 of 144
749
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290
University of Southern California
Los Angeles, United States
7 h-index
27 publications
2.3K citations
University of California San Diego
San Diego, United States
7 h-index
19 publications
2.4K citations
Argonne National Laboratory
Lemont, United States
5 h-index
13 publications
298 citations

University of Edinburgh
Edinburgh, United Kingdom
4 h-index
9 publications
216 citations

University of Amsterdam
Amsterdam, The Netherlands
4 h-index
23 publications
12.5K citations
University of Southampton
Southampton, United Kingdom
4 h-index
10 publications
180 citations

University of Manchester
Manchester, United Kingdom
4 h-index
27 publications
12.5K citations
University of California, Davis
Davis, United States
4 h-index
13 publications
288 citations
1–8 of 290
6 publications · 104 citations
6
h-index
6 publications · 2.7K citations
6
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4 publications · 154 citations
4
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4 publications · 95 citations
4
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3 publications · 425 citations
3
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1–5