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Line Catherine Pouchard · Study

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Line Catherine Pouchard

11 works· latest 2025· 3 institutionscluster: provisionalORCID 0000-0002-2120-6521

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i1010

Citations223

Works here11

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Most cited in this library

Applying the FAIR Principles to computational workflows2025 · 75 citations
Reproducibility Practice in High-Performance Computing: Community Survey Results2021 · 23 citations
Computational reproducibility of scientific workflows at extreme scales2019 · 19 citations
Workflows Community Summit 2022: A Roadmap Revolution2023 · 17 citations
ASCR Workshop on In Situ Data Management: Enabling Scientific Discovery from Diverse Data Sources2019 · 15 citations

Works

11 shown

Applying the FAIR Principles to computational workflows

Scientific Data·2025·23 authors·other·Open access

75citations

Workflows Community Summit 2022: A Roadmap Revolution

Research Explorer (The University of Manchester)·2023·93 authors·report·Open access

15citations

Workflows Community Summit 2022: A Roadmap Revolution

·2023·94 authors·report·Open access

17citations

A rigorous uncertainty-aware quantification framework is essential for reproducible and replicable machine learning workflows

Digital Discovery·2023·4 authors·Open access

14citations

Reproducibility Practice in High-Performance Computing: Community Survey Results

Computing in Science & Engineering·2021·3 authors·Open access

23citations

Priority research directions for in situ data management: Enabling scientific discovery from diverse data sources

The International Journal of High Performance Computing Applications·2020·8 authors

13citations

Computational reproducibility of scientific workflows at extreme scales

The International Journal of High Performance Computing Applications·2019·8 authors·Open access

19citations

ASCR Workshop on In Situ Data Management: Enabling Scientific Discovery from Diverse Data Sources

·2019·8 authors·report·Open access

15citations

Capturing provenance as a diagnostic tool for workflow performance evaluation and optimization

New York Scientific Data Summit (NYSDS)·2017·5 authors·other·Open access

9citations

Standing Together for Reproducibility in Large-Scale Computing: Report on reproducibility@XSEDE

arXiv (Cornell University)·2014·51 authors·preprint·Open access

10citations

Content analysis for proactive intelligence: marshaling frame evidence

National Conference on Artificial Intelligence·2007·7 authors·other

13citations