Industrial Process Optimization

Industrial Process Optimization is a systematic analytical framework within industrial catalytic processes that integrates quantitative modeling, economic evaluation, and operational constraints to enhance process efficiency, selectivity, and sustainability by identifying optimal operating conditions and design parameters.

1.1K

Publications

47.5K

Citations

3.1K

Authors

995

Institutions

Publications per year

2017–2026

454

Authors

3.1K

  1. IE
    Ignacio E. Grossmann

    Carnegie Mellon University, United States

    21 publications · 2.2K citations

    19

    h-index

  2. LT
    Lorenz T. Biegler

    Carnegie Mellon University, United States

    11 publications · 871 citations

    12

    h-index

  3. AK
    Ajay K. Ray

    Western University, Canada

    12 publications · 801 citations

    12

    h-index

  4. GP
    Gade Pandu Rangaiah

    National University of Singapore, Singapore

    11 publications · 678 citations

    11

    h-index

  5. SC
    Shankar Chakraborty

    Jadavpur University, India

    11 publications · 334 citations

    10

    h-index

1–5 of 3.1K

Venues

  1. Computers & Chemical Engineering

    82 publications · 5.6K citations

    39

    h-index

  2. Industrial & Engineering Chemistry Research

    81 publications · 3.1K citations

    31

    h-index

  3. 21

    h-index

  4. AIChE Journal

    21 publications · 1.1K citations

    18

    h-index

  5. Chemical Engineering Science

    24 publications · 1.6K citations

    18

    h-index

1–5