Hybrid Performance Modeling
Hybrid Performance Modeling is a performance modeling approach that integrates multiple distinct modeling paradigms—such as analytical, simulation-based, or machine learning methods—within a unified framework to overcome the limitations of individual techniques and achieve more accurate, scalable, or adaptable system performance predictions.
101
Publications
5.2K
Citations
376
Authors
145
Institutions
Publications per year
2017–2026
28
Parents
101
1–5 of 101
376
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145
University of Hohenheim
Stuttgart, Germany
17 h-index
57 publications
3.5K citations

Justus-Liebig-Universität Gießen
Giessen, Germany
8 h-index
15 publications
851 citations
Leibniz-Institut für Pflanzengenetik und Kulturpflanzenforschung (IPK)
Gatersleben, Germany
5 h-index
13 publications
773 citations
Iowa State University
Ames, United States
5 h-index
10 publications
696 citations
Centro Internacional de Mejoramiento de Maíz Y Trigo
Texcoco, Mexico
5 h-index
10 publications
429 citations
KeyGene (Netherlands)
Wageningen, Netherlands
4 h-index
5 publications
312 citations
Indian Agricultural Research Institute
New Delhi, India
4 h-index
15 publications
462 citations
National Energy Technology Laboratory
South Park Township, United States
4 h-index
6 publications
126 citations
1–8 of 145
18 publications · 1.3K citations
17
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6 publications · 1K citations
6
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6 publications · 158 citations
6
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2 publications · 49 citations
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AST · 2 publications · 107 citations
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