Computational Resource Discovery
Computational Resource Discovery is a systematic academic framework that identifies, locates, and characterizes computational assets—such as processing units, storage systems, and networked services—within distributed environments by applying algorithmic and metadata-driven methods distinct from general resource discovery through its focus on quantifiable, machine-executable resources.
75
Publications
2.6K
Citations
237
Authors
115
Institutions
Publications per year
2017–2026
17
Parents
75
A genetic, genomic, and computational resource for exploring neural circuit function
Fred P. Davis, Aljoscha Nern, Serge Picard et al. · eLife · 2020 · 290 citations · Full text
Design and evaluation of a resource selection framework for Grid applications
Chuang Liu, Lingyun Yang, Ian Foster et al. · 2003 · 208 citations
The POPCORN market. Online markets for computational resources
Ori Regev, Noam Nisan · Decision Support Systems · 2000 · 91 citations
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115
University of Virginia
Charlottesville, United States
3 h-index
8 publications
143 citations
Cold Spring Harbor Laboratory
Cold Spring Harbor, United States
3 h-index
5 publications
400 citations

The University of Melbourne
Melbourne, Australia
2 h-index
8 publications
551 citations
Wayne State University
Detroit, United States
2 h-index
2 publications
67 citations

Howard Hughes Medical Institute
Chevy Chase, United States
2 h-index
14 publications
2.3K citations
University of Aveiro
Aveiro, Portugal
2 h-index
4 publications
92 citations
National Institute of Arthritis and Musculoskeletal and Skin Diseases
Bethesda, United States
2 h-index
2 publications
333 citations
Clemson University
Clemson, United States
2 h-index
2 publications
36 citations
1–8 of 115
FGCS · 4 publications · 117 citations
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2 publications · 22 citations
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2 publications · 120 citations
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2 publications · 64 citations
2
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2 publications · 36 citations
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1–5