World's Best Scientists 2026 revealed!
Bernard De Baets

Bernard De Baets

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Computer Science
Belgium
2026
Award Badge
Mathematics
Belgium
2026

D-Index & Metrics

Computer Science

D-Index
83
Citations
25430
World Ranking
906
National Ranking
10

Mathematics

D-Index
82
Citations
25283
World Ranking
125
National Ranking
2

Research.com Recognitions

  • 2026 - Research.com Computer Science in Belgium Leader Award
  • 2026 - Research.com Mathematics in Belgium Leader Award
  • 2025 - Research.com Mathematics in Belgium Leader Award
  • 2023 - Research.com Mathematics in Belgium Leader Award

Overview

Bernard De Baets is affiliated with Ghent University in Belgium and has an extensive publication record primarily focused on computer science. Their research contributions span multiple subfields including Computational Theory and Mathematics, Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, and Management Science and Operations Research.

Their published works demonstrate a broad engagement with topics such as Advanced Algebra and Logic, Rough Sets and Fuzzy Logic, Cellular Automata and Applications, Multi-Criteria Decision Making, Fuzzy and Soft Set Theory, DNA and Biological Computing, and Advanced Image and Video Retrieval Techniques.

Bernard De Baets has published in various academic venues, frequently contributing to:

  • Fuzzy Sets and Systems
  • SSRN Electronic Journal
  • arXiv (Cornell University)
  • Information Sciences
  • Information Fusion

Notable recent papers include:

  • "Predicting bacteriophage hosts based on sequences of annotated receptor-binding proteins," 2021, Scientific Reports
  • "Equivalent Electrical Circuits and Their Use Across Electrochemical Impedance Spectroscopy Application Domains," 2022, IEEE Access
  • "Crowdsourced mapping of unexplored target space of kinase inhibitors," 2021, Nature Communications
  • "Hybrid differential equations: Integrating mechanistic and data-driven techniques for modelling of water systems," 2022, Water Research
  • "Deep feature fusion through adaptive discriminative metric learning for scene recognition," 2020, Information Fusion

The scientist frequently collaborates with a number of co-authors, including:

  • Michiel Stock
  • Jan Baetens
  • Barbara Wolnik
  • Raúl Pérez-Fernández
  • Dimitri Boeckaerts

Bernard De Baets's research integrates both theoretical and applied aspects of computer science, demonstrating interdisciplinary connections particularly to molecular biology and data-driven methods. Their work involves both mechanistic modeling and advanced computational techniques, contributing to fields that involve complex system analysis and decision-making processes.

Best Publications

  • Present limitations and future prospects of stable isotope methods for nitrate source identification in surface- and groundwater.

    Dongmei Xue;Jorin Botte;Bernard De Baets;Frederik Accoe

  • Genome analysis of the smallest free-living eukaryote Ostreococcus tauri unveils many unique features

    Evelyne Derelle;Conchita Ferraz;Stephane Rombauts;Pierre Rouzé

  • A Historical Account of Types of Fuzzy Sets and Their Relationships

    Humberto Bustince;Edurne Barrenechea;Miguel Pagola;Javier Fernandez

  • The functional equations of Frank and Alsina for uninorms and nullnorms

    Tomasa Calvo;Bernard De Baets;János Fodor

  • Random forests as a tool for ecohydrological distribution modelling

    Jan Peters;Bernard De Baets;Niko E.C. Verhoest;Roeland Samson

  • Fuzzy rule-based models for decision support in ecosystem management.

    Veronique Adriaenssens;Bernard De Baets;Peter L.M. Goethals;Niels De Pauw

  • Triangular norms on product lattices

    Bernard De Baets;Radko Mesiar

  • Multivariate return periods in hydrology: a critical and practical review focusing on synthetic design hydrograph estimation

    B. Gräler;M. J. van den Berg;S. Vandenberghe;A. Petroselli

  • Use of a Bayesian isotope mixing model to estimate proportional contributions of multiple nitrate sources in surface water

    Dongmei Xue;Bernard De Baets;Oswald Van Cleemput;Carmel Hennessy

  • Fast and accurate center of gravity defuzzification of fuzzy system outputs defined on trapezoidal fuzzy partitions

    Ester Van Broekhoven;Bernard De Baets

  • Ecological Diversity: Measuring the Unmeasurable

    Aisling J. Daly;Jan M. Baetens;Bernard De Baets

  • A sub‐pixel mapping algorithm based on sub‐pixel/pixel spatial attraction models

    Koen C. Mertens;Bernard de Baets;Lieven P. C. Verbeke;Robert R. de Wulf

  • Bacterial species identification from MALDI-TOF mass spectra through data analysis and machine learning.

    Katrien De Bruyne;Bram Slabbinck;Willem Waegeman;Paul Vauterin

  • Mobile monitoring for mapping spatial variation in urban air quality: Development and validation of a methodology based on an extensive dataset

    Joris Van den Bossche;Joris Van den Bossche;Jan Peters;Jan Verwaeren;Dick Botteldooren

  • Dietary species richness as a measure of food biodiversity and nutritional quality of diets.

    Carl Lachat;Jessica E. Raneri;Jessica E. Raneri;Katherine Walker Smith;Patrick Kolsteren

  • Residual operators of uninorms

    Bernard De Baets;János C. Fodor

  • Analytical solution methods for fuzzy relational equations.

    Unknown

  • A comparative study of similarity measures

    Xuzhu Wang;B. De Baets;E. Kerre

  • T -partitions

    Bernard de Baets;Radko Mesiar

  • Cyclic evaluation of transitivity of reciprocal relations

    B. De. Baets;H. De. Meyer;B. De. Schuymer

  • Transitivity frameworks for reciprocal relations: cycle-transitivity versus FG-transitivity

    B. De Baets;H. De Meyer

  • Idempotent uninorms

    Unknown

Frequent Co-Authors

Niko E. C. Verhoest
Niko E. C. Verhoest Ghent University
Etienne Kerre
Etienne Kerre Ghent University
Radko Mesiar
Radko Mesiar Slovak University of Technology in Bratislava
Tapio Pahikkala
Tapio Pahikkala University of Turku
Dick Botteldooren
Dick Botteldooren Ghent University
Geert Haesaert
Geert Haesaert Ghent University
Marc Leman
Marc Leman Ghent University
Peter A. Vanrolleghem
Peter A. Vanrolleghem Université Laval
Kris Audenaert
Kris Audenaert Ghent University
Yves Van de Peer
Yves Van de Peer Ghent University

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