Machine Performance Analysis
Machine Performance Analysis is a systematic academic framework that evaluates the operational efficiency, productivity, and reliability of industrial machinery by quantifying performance metrics such as availability, utilization, and output quality relative to designed capacity and operational benchmarks.
716
Publications
36.3K
Citations
2K
Authors
627
Institutions
Publications per year
2017–2026
229
716
Julia: A Fresh Approach to Numerical Computing
Jeff Bezanson, Alan Edelman, Stefan Karpinski et al. · SIAM Review · 2017 · 6.3K citations
1–5 of 716
2K
18
h-index
14
h-index
10
h-index
9
h-index
8
h-index
1–5 of 2K
627
University of Sheffield
Sheffield, United Kingdom
20 h-index
68 publications
3.4K citations
University of Wisconsin–Madison
Madison, United States
18 h-index
36 publications
3.3K citations

University of Padua
Padua, Italy
17 h-index
41 publications
2.8K citations
University of Michigan
Ann Arbor, United States
14 h-index
34 publications
2.3K citations

University of Nottingham
Nottingham, United Kingdom
12 h-index
50 publications
1.8K citations
Purdue University West Lafayette
West Lafayette, United States
10 h-index
19 publications
825 citations

Lappeenranta-Lahti University of Technology
Lappeenranta, Finland
9 h-index
29 publications
1.4K citations

Centre National de la Recherche Scientifique
Paris, France
8 h-index
28 publications
1.4K citations
1–8 of 627
42 publications · 3.6K citations
30
h-index
37 publications · 2.5K citations
27
h-index
35 publications · 1.6K citations
22
h-index
14 publications · 1.2K citations
14
h-index
15 publications · 504 citations
13
h-index
1–5