Test Optimization
Test Optimization is a methodological contribution in the field of drawdown testing that enhances the efficiency, accuracy, or reliability of test procedures by systematically refining testing parameters, protocols, or analytical approaches to achieve superior diagnostic or predictive outcomes.
188
Publications
7.1K
Citations
452
Authors
206
Institutions
Publications per year
2017–2026
33
Parents
188
1–5 of 188
452
20
h-index
10
h-index
Institut de Recherche en Informatique et Systèmes Aléatoires, France
6 publications · 286 citations
6
h-index
Institut de Recherche en Informatique et Systèmes Aléatoires, France
6 publications · 286 citations
6
h-index
6
h-index
1–5 of 452
206
Duke University
Durham, United States
20 h-index
41 publications
2.6K citations
University of California, Santa Barbara
Santa Barbara, United States
7 h-index
16 publications
303 citations
Institut de Recherche en Informatique et Systèmes Aléatoires
Rennes, France
6 h-index
22 publications
1.1K citations
Novartis (Switzerland)
Basel, Switzerland
6 h-index
17 publications
872 citations
Qualcomm (United States)
San Diego, United States
5 h-index
6 publications
213 citations
IMEC
Leuven, Belgium
5 h-index
6 publications
308 citations
Philips (Netherlands)
Amsterdam, The Netherlands
5 h-index
6 publications
789 citations
IBM (United States)
Armonk, United States
5 h-index
6 publications
290 citations
1–8 of 206
7 publications · 412 citations
7
h-index
6 publications · 224 citations
6
h-index
JSS · 4 publications · 182 citations
4
h-index
3 publications · 51 citations
3
h-index
3 publications · 166 citations
3
h-index
1–5