Resistance Data Fitting
Resistance Data Fitting is a computational method that belongs to the class of data fitting techniques, specifically designed to model and analyze electrical resistance behavior by integrating domain-specific constraints and empirical correlations to enhance predictive accuracy under varying environmental and material conditions.
31
Publications
1.1K
Citations
103
Authors
47
Institutions
Publications per year
2017–2026
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103
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47

King Abdulaziz University
Jeddah, Saudi Arabia
2 h-index
2 publications
50 citations
IMEC
Leuven, Belgium
2 h-index
5 publications
136 citations

Johns Hopkins University
Baltimore, United States
2 h-index
3 publications
87 citations
University of Education
Lahore, Pakistan
2 h-index
3 publications
75 citations
University of Aveiro
Aveiro, Portugal
1 h-index
1 publications
31 citations
Institute for Physics of Microstructures
Nizhny Novgorod, Russia
1 h-index
1 publications
15 citations
Bureau of Economic Geology
Austin, United States
1 h-index
1 publications
42 citations
GlobalFoundries (Germany)
Dresden, Germany
1 h-index
4 publications
56 citations
1–8 of 47
2 publications · 33 citations
2
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2 publications · 50 citations
2
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2 publications · 36 citations
2
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2 publications · 41 citations
2
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1 publications · 15 citations
1
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