Odor Modeling
Odor Modeling is a computational or mathematical framework designed to predict, simulate, and analyze the dispersion, intensity, and perception of airborne odorants in environmental or industrial settings, distinguishing it from general air quality models through its specific focus on odor-specific parameters such as odor concentration, emission rates, and human olfactory response.
229
Publications
9.4K
Citations
740
Authors
321
Institutions
Publications per year
2017–2026
72
229
Predicting human olfactory perception from chemical features of odor molecules
Andreas Keller, Richard C. Gerkin, Yuanfang Guan et al. · Science · 2017 · 346 citations
A principal odor map unifies diverse tasks in olfactory perception
Brian Lee, Emily J. Mayhew, Benjamín Sánchez-Lengeling et al. · Science · 2023 · 198 citations · Full text
On the Unpredictability of Odor
Charles S. Sell · Angewandte Chemie International Edition · 2006 · 195 citations
1–5 of 229
740
11
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h-index
7
h-index
7
h-index
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h-index
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321
Tokyo Institute of Technology
Tokyo, Japan
11 h-index
24 publications
729 citations

Universidade do Porto
Porto, Portugal
8 h-index
27 publications
656 citations

Centre National de la Recherche Scientifique
Paris, France
8 h-index
25 publications
1.3K citations
Arizona State University
Tempe, United States
7 h-index
14 publications
795 citations

Monell Chemical Senses Center
Philadelphia, United States
7 h-index
33 publications
2.9K citations
University of Pennsylvania
Philadelphia, United States
6 h-index
7 publications
1K citations
Politecnico di Milano
Milan, Italy
6 h-index
23 publications
1.4K citations
University of Vienna
Vienna, Austria
5 h-index
18 publications
426 citations
1–8 of 321
14 publications · 712 citations
14
h-index
12 publications · 387 citations
12
h-index
12 publications · 478 citations
11
h-index
6 publications · 198 citations
6
h-index
6 publications · 156 citations
6
h-index
1–5