World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
45
Citations
9972
World Ranking
1449
National Ranking
36

Engineering and Technology

D-Index
48
Citations
10344
World Ranking
4511
National Ranking
244

Overview

Gleb Beliakov is affiliated with Deakin University in Australia and has contributed significantly to the fields of computer science, decision sciences, and mathematics. Their research spans several subfields including management science and operations research, statistics and probability, artificial intelligence, computational theory and mathematics, and computer vision and pattern recognition.

Their main research topics include multi-criteria decision making, fuzzy systems and optimization, Bayesian modeling and causal inference, data management and algorithms, rough sets and fuzzy logic, optimization and mathematical programming, and chaos-based image and signal encryption.

Beliakov's recent papers cover a variety of subjects and publication venues:

  • "A Brief Survey of Machine Learning and Deep Learning Techniques for E-Commerce Research," 2023, Journal of theoretical and applied electronic commerce research
  • "Desynchronization Attacks Resilient Watermarking Method Based on Frequency Singular Value Coefficient Modification," 2021, IEEE/ACM Transactions on Audio Speech and Language Processing
  • "Knapsack problems with dependencies through non-additive measures and Choquet integral," 2021, European Journal of Operational Research
  • "Random generation of k-interactive capacities," 2020, Fuzzy Sets and Systems
  • "Choquet integral optimisation with constraints and the buoyancy property for fuzzy measures," 2021, Information Sciences

Frequent co-authors of Beliakov include Jian-Zhang Wu, Simon James, Marek Gągolewski, Juan Baz, and Yong Xiang.

Beliakov has published extensively in several journals and venues, with multiple contributions in:

  • Fuzzy Sets and Systems (11 publications)
  • IEEE Transactions on Fuzzy Systems (6 publications)
  • Information Sciences (4 publications)
  • Information Fusion (4 publications)
  • Journal of Intelligent & Fuzzy Systems (4 publications)

They have also authored a book titled Choquet Capacities and Fuzzy Integrals, which is to be published by Springer Nature in 2025.

Best Publications

  • Aggregation Functions: A Guide for Practitioners

    Gleb Beliakov;Ana Pradera;Tomasa Calvo

  • A Practical Guide to Averaging Functions

    Gleb Beliakov;Humberto Bustince Sola;Tomasa Calvo Snchez

  • Recent Developments in the Ordered Weighted Averaging Operators: Theory and Practice

    Ronald R. Yager;Janusz Kacprzyk;Gleb Beliakov

  • On averaging operators for Atanassov's intuitionistic fuzzy sets

    G. Beliakov;H. Bustince;D. P. Goswami;U. K. Mukherjee

  • Generalized Bonferroni mean operators in multi-criteria aggregation

    Gleb Beliakov;Simon James;Juliana Mordelová;Tatiana Rückschlossová

  • Aggregation functions based on penalties

    Tomasa Calvo;Gleb Beliakov

  • Appropriate choice of aggregation operators in fuzzy decision support systems

    G. Beliakov;J. Warren

  • Robust Histogram Shape-Based Method for Image Watermarking

    Tianrui Zong;Yong Xiang;Iynkaran Natgunanathan;Song Guo

  • How to build aggregation operators from data

    Gleb Beliakov

  • Advances in Fuzzy Implication Functions

    Michal Baczynski;Gleb Beliakov;Humberto Bustince Sola;Ana Pradera

  • Learning Weights in the Generalized OWA Operators

    Gleb Beliakov

  • Construction of aggregation functions from data using linear programming

    Gleb Beliakov

  • Discriminating DDoS attack traffic from flash crowd through packet arrival patterns

    Theerasak Thapngam;Shui Yu;Wanlei Zhou;Gleb Beliakov

  • Protection of Privacy in Biometric Data

    Iynkaran Natgunanathan;Abid Mehmood;Yong Xiang;Gleb Beliakov

  • Weakly Monotonic Averaging Functions

    Tim Wilkin;Gleb Beliakov

  • Uncertainties with Atanassov's intuitionistic fuzzy sets: Fuzziness and lack of knowledge

    N. R. Pal;H. Bustince;M. Pagola;U. K. Mukherjee

  • A class of fuzzy multisets with a fixed number of memberships

    Benjamín Bedregal;Gleb Beliakov;Humberto Bustince;Tomasa Calvo

  • A review of the relationships between implication, negation and aggregation functions from the point of view of material implication

    A. Pradera;G. Beliakov;H. Bustince;B. De Baets

  • OWA Operators in Regression Problems

    R.R. Yager;G. Beliakov

  • Weakly Monotone Averaging Functions

    Tim Wilkin;Gleb Beliakov;Tomasa Calvo

Frequent Co-Authors

Radko Mesiar
Radko Mesiar Slovak University of Technology in Bratislava
Javier Fernández
Javier Fernández Universidad Publica De Navarra
Humberto Bustince
Humberto Bustince Universidad Publica De Navarra
John Yearwood
John Yearwood Deakin University
Yong Xiang
Yong Xiang Deakin University
Miguel Pagola
Miguel Pagola Universidad Publica De Navarra
Benjamin Bedregal
Benjamin Bedregal Federal University of Rio Grande do Norte
Ronald R. Yager
Ronald R. Yager Iona University
Javier Montero
Javier Montero Complutense University of Madrid
Dale G. Nimmo
Dale G. Nimmo Charles Sturt University

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