Laboratory Data Reconciliation
Laboratory Data Reconciliation is a methodological framework within data reconciliation that specifically integrates and adjusts experimental measurements from laboratory-scale processes to ensure consistency with physical laws, instrument constraints, and thermodynamic models while minimizing measurement uncertainties and systematic errors.
10
Publications
378
Citations
34
Authors
17
Institutions
Publications per year
2017–2026
2
Parents
10
1–5 of 10
34
1
h-index
1
h-index
University of California, Los Angeles, United States
1 publications · 15 citations
1
h-index
1
h-index
1
h-index
1–5 of 34
17

Université Laval
Québec, Canada
2 h-index
6 publications
135 citations

Washington University in St. Louis
St Louis, United States
1 h-index
1 publications
17 citations
Louisiana State University
Baton Rouge, United States
1 h-index
2 publications
422 citations

Sahand University of Technology
Tabriz, Iran
1 h-index
2 publications
30 citations

Tabriz University of Medical Sciences
Tabriz, Iran
1 h-index
3 publications
45 citations

Silesian University of Technology
Gliwice, Poland
1 h-index
1 publications
13 citations
Universidade Federal Fluminense
Niterói, Brazil
1 h-index
1 publications
29 citations

Universidad de Santiago de Chile
Santiago, Chile
1 h-index
1 publications
22 citations
1–8 of 17
4 publications · 273 citations
4
h-index
Repository · 1 publications · 17 citations
1
h-index
1 publications · 15 citations
1
h-index
1 publications · 22 citations
1
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1 publications · 23 citations
1
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1–5