Method Scalability
Method Scalability is a methodological attribute that denotes the capacity of an analytical method to maintain performance, reliability, and robustness when transferred across different scales of operation, from laboratory to production or across varied system configurations, without requiring substantial re-optimization.
11
Publications
709
Citations
48
Authors
17
Institutions
Publications per year
2017–2026
2
Parents
11
LassoNet: Deep Lasso-Selection of 3D Point Clouds
Zhutian Chen, Wei Zeng, Zhiguang Yang et al. · IEEE Transactions on Visualization and Computer Graphics · 2019 · 63 citations · Full text
Unleashing the Power of Mobile Cloud Computing using ThinkAir
Sokol Kosta, Andrius Auçinas, Pan Hui et al. · arXiv (Cornell University) · 2011 · 50 citations · Full text
1–5 of 11
48
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1
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1–5 of 48
17
The University of Texas at Austin
Austin, United States
1 h-index
6 publications
138 citations
University of Oxford
Oxford, United Kingdom
1 h-index
4 publications
76 citations
Fondazione Bruno Kessler
Trento, Italy
1 h-index
1 publications
39 citations
University of Luxembourg
Luxembourg, Luxembourg
1 h-index
2 publications
700 citations

University of Tübingen
Tübingen, Germany
1 h-index
3 publications
33 citations

Centre for Human Genetics
Oxford, United Kingdom
1 h-index
4 publications
76 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
1 h-index
2 publications
126 citations

Ames Research Center
Mountain View, United States
1 h-index
2 publications
170 citations
1–8 of 17
Repository · 2 publications · 63 citations
2
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Conference · 1 publications · 85 citations
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IJCEE · 1 publications · 40 citations
1
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1 publications · 11 citations
1
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1 publications · 39 citations
1
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1–5