Parametric Studies
Parametric Studies is a systematic investigative methodology within MEMS simulation that distinguishes itself by quantitatively analyzing the influence of varying input parameters on system behavior to optimize design and predict performance under diverse operational conditions.
2.1K
Publications
80.3K
Citations
6K
Authors
1.6K
Institutions
Publications per year
2017–2026
597
Parents
2.1K
Determinants of conduction velocity in myelinated nerve fibers
Stephen G. Waxman · Muscle & Nerve · 1980 · 642 citations
Medicine, Neurobiology, Neuroscience +12
1–5 of 2.1K
6K
13
h-index
University at Buffalo, State University of New York, United States
9 publications · 446 citations
9
h-index
8
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7
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7
h-index
1–5 of 6K
1.6K
Nanyang Technological University
Singapore, Singapore
23 h-index
72 publications
3K citations

Centre National de la Recherche Scientifique
Paris, France
21 h-index
117 publications
5.2K citations

Imperial College London
London, United Kingdom
20 h-index
63 publications
3.1K citations
National University of Singapore
Singapore, Singapore
19 h-index
60 publications
3.7K citations

Pennsylvania State University
State College, United States
16 h-index
59 publications
1.7K citations

Zhejiang University
Hangzhou, China
16 h-index
29 publications
863 citations
Tongji University
Shanghai, China
16 h-index
32 publications
993 citations

Indian Institute of Technology Madras
Chennai, India
16 h-index
40 publications
1.7K citations
1–8 of 1.6K
78 publications · 4.6K citations
41
h-index
48 publications · 2.9K citations
32
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23 publications · 1.7K citations
20
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22 publications · 916 citations
19
h-index
26 publications · 1.2K citations
19
h-index
1–5