World's Best Scientists 2026 revealed!

D-Index & Metrics

Chemistry

D-Index
78
Citations
32734
World Ranking
3723
National Ranking
1188

Overview

Bruce R. Kowalski was affiliated with the University of Washington in the United States. Their research spanned several interdisciplinary areas within engineering and technology, with a particular focus on measurement, detection, and industrial vision systems.

The scientist contributed to the fields of Electrical and Electronic Engineering, Industrial and Manufacturing Engineering, and Media Technology. Their work extensively covered practical applications and theoretical aspects related to advanced measurement and detection methods, vehicle license plate recognition, and industrial vision systems for defect detection.

Among their published research, notable papers include:

  • Research on the Accuracy of Automatic Vision Algorithms for Classifying Traffic Lights, 2025, published in Problems of Mechatronics Armament Aviation Safety Engineering
  • Issue Information, 2020, published in Journal of Chemometrics
  • Issue Information, 2022, published in Journal of Chemometrics
  • Issue Information, 2020, published in Journal of Chemometrics
  • Issue Information, 2020, published in Journal of Chemometrics

The Journal of Chemometrics was a frequent venue for their publications, featuring 22 papers attributed to Kowalski. The journal evidently served as a major outlet for their research communication. Another publication venue included Problems of Mechatronics Armament Aviation Safety Engineering.

The scientist collaborated regularly with a number of frequent co-authors, including:

  • Age K. Smilde
  • Paul Trevorrow
  • Janine Maer
  • Dela Torre
  • Netherlands Founding

Their work was primarily concentrated on the following main topics:

  • Advanced Measurement and Detection Methods
  • Industrial Vision Systems and Defect Detection
  • Vehicle License Plate Recognition

Bruce R. Kowalski's contributions were situated at the intersection of technology and practical engineering challenges in automated visual detection and recognition systems, especially within the industrial and transportation domains.

Best Publications

  • Partial least-squares regression: a tutorial

    Paul Geladi;Bruce R. Kowalski

  • Selectivity, local rank, three‐way data analysis and ambiguity in multivariate curve resolution

    Romà Tauler;Age Smilde;Bruce Kowalski

  • Theory of analytical chemistry

    Karl S. Booksh;Bruce R. Kowalski

  • Multivariate instrument standardization

    Yongdong. Wang;David J. Veltkamp;Bruce R. Kowalski

  • An introduction to multivariate calibration and analysis

    Kenneth R. Beebe;Bruce R. Kowalski

  • Generalized rank annihilation factor analysis

    Eugenio. Sanchez;Bruce R. Kowalski

  • A theoretical foundation for the PLS algorithm

    Avraham Lorber;Lawrence E. Wangen;Bruce R. Kowalski

  • Multivariate curve resolution applied to spectral data from multiple runs of an industrial process

    Roma Tauler;Bruce Kowalski;Sydney Fleming

  • Net analyte signal calculation in multivariate calibration

    Avraham Lorber;Klaas Faber;Bruce R. Kowalski

  • Chemometrics: Theory and Application

    Bruce R. Kowalski

  • The Generalized Standard Addition Method.

    Bo E H Saxberg;Bruce R Kowalski

  • Locally weighted regression and scatter correction for near-infrared reflectance data

    Tormod. Naes;Tomas. Isaksson;Bruce. Kowalski

  • An extension of the multivariate component-resolution method to three components

    Odd S. Borgen;Bruce R. Kowalski

  • Chemometrics, mathematics and statistics in chemistry

    Bruce R. Kowalski;Edward E. Schilling;Norbert Kilian;Katy E. Jones

  • Propagation of measurement errors for the validation of predictions obtained by principal component regression and partial least squares

    Klaas Faber;Bruce R. Kowalski

  • Selection of adsorbates for chemical sensor arrays by pattern recognition

    W.P. Carey;K.R. Beebe;B.R. Kowalski;D.L. Illman

  • Process analytical chemistry

    James B. Callis;Deborah L. Illman;Bruce R. Kowalski

  • Partial least-squares path modelling with latent variables

    Robert W. Gerlach;Bruce R. Kowalski;Herman O.A. Wold

  • A multiblock partial least squares algorithm for investigating complex chemical systems

    L. E. Wangen;B. R. Kowalski

  • An example of 2-block predictive partial least-squares regression with simulated data

    Paul Geladi;Bruce R. Kowalski

Frequent Co-Authors

Peter C. Jurs
Peter C. Jurs Pennsylvania State University
Charles N. Reilley
Charles N. Reilley University of North Carolina at Chapel Hill
Paul Geladi
Paul Geladi Swedish University of Agricultural Sciences
Jaromir Ruzicka
Jaromir Ruzicka University of Washington
Romà Tauler
Romà Tauler Spanish National Research Council
Robert E. Synovec
Robert E. Synovec University of Washington
Márcia M. C. Ferreira
Márcia M. C. Ferreira State University of Campinas
Age K. Smilde
Age K. Smilde University of Amsterdam
Rasmus Bro
Rasmus Bro University of Copenhagen
Kim H. Esbensen
Kim H. Esbensen Geological Survey of Denmark and Greenland

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