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Engineering and Technology
Poland
2026

D-Index & Metrics

Engineering and Technology

D-Index
59
Citations
12604
World Ranking
2345
National Ranking
3

Chemistry

D-Index
59
Citations
12998
World Ranking
10097
National Ranking
33

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in Poland Leader Award
  • 2025 - Research.com Engineering and Technology in Poland Leader Award

Overview

Beata Walczak is affiliated with the University of Silesia in Poland and has contributed extensively to the fields of Chemistry, Agricultural and Biological Sciences, and Medicine. Their research primarily focuses on Analytical Chemistry, with significant work also conducted in Molecular Biology, Artificial Intelligence, Biochemistry, and Food Science.

Walczak's research covers several main topics including:

  • Spectroscopy and Chemometric Analyses
  • Phytochemicals and Antioxidant Activities
  • Metaheuristic Optimization Algorithms Research
  • Pesticide Residue Analysis and Safety
  • Heavy Metals in Plants
  • Identification and Quantification in Food
  • Tea Polyphenols and Effects

Their frequent publication venues consist of:

  • Chemometrics and Intelligent Laboratory Systems
  • Journal of Food Composition and Analysis
  • Journal of Chemometrics
  • LWT
  • Food Control

Some recent papers authored by Walczak include:

  • Authentication of honeybush and rooibos herbal teas based on their elemental composition (2020, Food Control)
  • High-temperature oxidation reduces the bitterness of honeybush infusions depending on changes in phenolic composition (2020, LWT)
  • Combining class-modelling and discriminant methods for improvement of products authentication (2022, Chemometrics and Intelligent Laboratory Systems)
  • Class-modelling of overlapping classes. A two-step authentication approach (2021, Analytica Chimica Acta)
  • Different strategies for class model optimization. A comparative study (2020, Talanta)

Frequently collaborating coauthors include:

  • Dalene de Beer
  • Elizabeth Joubert
  • Zuzanna Małyjurek
  • Beata Zawisza
  • Federico Marini

Best Publications

  • Particle swarm optimization (PSO). A tutorial

    Federico Marini;Beata Walczak

  • Rough sets theory

    B. Walczak;D.L. Massart

  • Robust statistics in data analysis — A review: Basic concepts

    M. Daszykowski;K. Kaczmarek;K. Kaczmarek;Y. Vander Heyden;B. Walczak

  • Representative subset selection

    M. Daszykowski;Beata Walczak;Desire Massart

  • Looking for natural patterns in data: Part 1. Density-based approach

    M. Daszykowski;Beata Walczak;Desire Massart

  • Noise suppression and signal compression using the wavelet packet transform

    Beata Walczak;Desire Massart

  • Artificial neural networks in classification of NIR spectral data: Design of the training set

    W. Wu;B. Walczak;D.L. Massart;S. Heuerding

  • Comparison of regularized discriminant analysis linear discriminant analysis and quadratic discriminant analysis applied to NIR data

    W. Wu;Y. Mallet;B. Walczak;W. Penninckx

  • A comparison of two algorithms for warping of analytical signals

    V. Pravdova;Beata Walczak;Desire Massart

  • Dealing with missing data - Part II

    Beata Walczak;Desire Massart

  • Wavelets in chemistry.

    Beata Walczak

  • The Radial Basis Functions — Partial Least Squares approach as a flexible non-linear regression technique

    B. Walczak;D.L. Massart

  • TOMCAT: A MATLAB toolbox for multivariate calibration techniques

    Michał Daszykowski;Sven Serneels;Krzysztof Kaczmarek;Piet Van Espen

  • Optimization of signal denoising in discrete wavelet transform

    L. Pasti;B. Walczak;D.L. Massart;P. Reschiglian

  • Raman spectroscopy as a process analytical technology (PAT) tool for the in-line monitoring and understanding of a powder blending process.

    T.R.M. De Beer;C. Bodson;B. Dejaegher;B. Walczak

  • Tracing the geographical origin of honeys based on volatile compounds profiles assessment using pattern recognition techniques

    I. Stanimirova;B. Üstün;T. Cajka;K. Riddelova

  • The use of CART and multivariate regression trees for supervised and unsupervised feature selection

    F. Questier;R. Put;D. Coomans;D. Coomans;B. Walczak

  • Chemometrics in analytical chemistry—part II: modeling, validation, and applications

    Richard G. Brereton;Jeroen Jansen;João Lopes;Federico Marini

  • Comparison of multivariate methods based on latent vectors and methods based on wavelength selection for the analysis of near-infrared spectroscopic data

    D. Jouan-Rimbaud;B. Walczak;D.L. Massart

  • Dealing with missing values and outliers in principal component analysis

    I. Stanimirova;M. Daszykowski;B. Walczak

  • Application of Wavelet Packet Transform in Pattern Recognition of Near-IR Data

    Beata Walczak;and Bas van den Bogaert;Desiré Luc Massart

Frequent Co-Authors

Desire L. Massart
Desire L. Massart Vrije Universiteit Brussel
Federico Marini
Federico Marini Sapienza University of Rome
Elizabeth Joubert
Elizabeth Joubert Stellenbosch University
Lutgarde M. C. Buydens
Lutgarde M. C. Buydens Radboud University
Paul J. Worsfold
Paul J. Worsfold Plymouth University
Gert Lubec
Gert Lubec Paracelsus Medical University
Ronei J. Poppi
Ronei J. Poppi State University of Campinas
Romà Tauler
Romà Tauler Spanish National Research Council
Yvan Vander Heyden
Yvan Vander Heyden Vrije Universiteit Brussel

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