Quality Flagging
Quality Flagging is a systematic methodology within data quality assurance that identifies, labels, and categorizes anomalies, inconsistencies, or uncertainties in log or well test data through predefined criteria or metrics to facilitate informed decision-making in subsurface evaluation.
39
Publications
2K
Citations
222
Authors
148
Institutions
Publications per year
2017–2026
8
39
Marilaure Grégoire, Véronique Garçon, Hernan E. Garcia et al. · Frontiers in Marine Science · 2021 · 131 citations · Full text
APEX - the Hyperspectral ESA Airborne Prism Experiment
K.I. Itten, Francesco Dell’Endice, Andreas Hueni et al. · Sensors · 2008 · 121 citations · Full text
The New Hematology Analyzer Sysmex XE-2100
Katharina Ruzicka, Mario Veitl, Renate Thalhammer-Scherrer et al. · Archives of Pathology & Laboratory Medicine · 2001 · 114 citations
1–5 of 39
222
3
h-index
3
h-index
2
h-index
Commonwealth Scientific and Industrial Research Organisation, Australia
2 publications · 72 citations
2
h-index
2
h-index
1–5 of 222
148
University of Vienna
Vienna, Austria
3 h-index
8 publications
775 citations
NOAA National Centers for Environmental Information
Asheville, United States
2 h-index
4 publications
470 citations
Medical University of Vienna
Vienna, Austria
2 h-index
7 publications
756 citations
University College London
London, United Kingdom
2 h-index
4 publications
70 citations
National Oceanic and Atmospheric Administration
Washington, United States
2 h-index
7 publications
1.8K citations
Ministry of New and Renewable Energy
Delhi, India
2 h-index
4 publications
108 citations

Radboud University Nijmegen
Nijmegen, The Netherlands
2 h-index
2 publications
65 citations
National Institute of Oceanography and Applied Geophysics
Trieste, Italy
1 h-index
1 publications
131 citations
1–8 of 148
IJLH · 6 publications · 126 citations
6
h-index
Repository · 3 publications · 134 citations
3
h-index
AJCP · 3 publications · 56 citations
3
h-index
2 publications · 107 citations
2
h-index
2 publications · 54 citations
2
h-index
1–5