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

Authors

740

  1. TN
    Takamichi Nakamoto

    Tokyo Institute of Technology, Japan

    11 publications · 312 citations

    11

    h-index

  2. AE
    Alı́rio E. Rodrigues

    Universidade do Porto, Portugal

    8 publications · 197 citations

    8

    h-index

  3. MJ
    Mats J. Olsson

    Karolinska Institutet, Sweden

    7 publications · 309 citations

    7

    h-index

  4. RC
    Richard C. Gerkin

    Arizona State University, United States

    7 publications · 669 citations

    7

    h-index

  5. SS
    Selena Sironi

    Politecnico di Milano, Italy

    6 publications · 334 citations

    6

    h-index

1–5 of 740

Venues

  1. Atmospheric Environment

    14 publications · 712 citations

    14

    h-index

  2. Sensors and Actuators B Chemical

    12 publications · 387 citations

    12

    h-index

  3. Chemical Senses

    12 publications · 478 citations

    11

    h-index

  4. Sensors

    6 publications · 198 citations

    6

    h-index

  5. AIChE Journal

    6 publications · 156 citations

    6

    h-index

1–5