World's Best Scientists 2026 revealed!
Dalibor Petković

Dalibor Petković

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Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
51
Citations
9159
World Ranking
296
National Ranking
1

Mechanical and Aerospace Engineering

D-Index
52
Citations
8687
World Ranking
1074
National Ranking
1

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Dalibor Petković is affiliated with the University of Nis in Serbia and has contributed extensively to the field of engineering, with a particular focus on electrical and electronic engineering, biomedical engineering, artificial intelligence, mechanical engineering, and control and systems engineering.

Their recent publications cover a range of topics in both theoretical and applied research. Notable papers include:

  • E-learning perspectives in higher education institutions, 2021, Technological Forecasting and Social Change
  • Application of distance learning in mathematics through adaptive neuro-fuzzy learning method, 2021, Computers & Electrical Engineering
  • Estimation of optimal fertilizers for optimal crop yield by adaptive neuro fuzzy logic, 2021, Rhizosphere
  • Selection of the most influential parameters on vectorial crystal growth of highly oriented vertically aligned carbon nanotubes by adaptive neuro-fuzzy technique, 2020, International Journal of Hydromechatronics
  • Neuro-fuzzy estimation of reference crop evapotranspiration by neuro fuzzy logic based on weather conditions, 2020, Computers and Electronics in Agriculture

Their research topics demonstrate a strong focus on advanced machining and optimization techniques, biodiesel production and applications, thermochemical biomass conversion processes, online learning and analytics, greenhouse technology and climate control, surface treatment and coatings, and process optimization and integration.

Dalibor Petković has frequently published in several academic venues, including:

  • Biomass Conversion and Biorefinery
  • International Journal of Hydromechatronics
  • Natural Hazards
  • Multimedia Tools and Applications
  • Computer Applications in Engineering Education

The scientist collaborates regularly with a number of coauthors, among the most frequent being:

  • Nebojša Denić
  • Biljana Petković
  • Boris Kuzman
  • Jelena Stojanović
  • Miloš Milovančević

Dalibor Petković's research contributions span across interdisciplinary applications, including artificial intelligence methods such as adaptive neuro-fuzzy techniques, and cover practical implementations from education technology to agricultural optimization and materials science.

Best Publications

  • A support vector machine–firefly algorithm-based model for global solar radiation prediction

    Lanre Olatomiwa;Lanre Olatomiwa;Saad Mekhilef;Shahaboddin Shamshirband;Kasra Mohammadi

  • A new hybrid support vector machine–wavelet transform approach for estimation of horizontal global solar radiation

    Kasra Mohammadi;Shahaboddin Shamshirband;Chong Wen Tong;Muhammad Arif

  • Potential of adaptive neuro fuzzy inference system for evaluating the factors affecting steel-concrete composite beam's shear strength

    M. Safa;M. Shariati;Z. Ibrahim;A. Toghroli

  • Adaptive neuro-fuzzy approach for wind turbine power coefficient estimation

    Dalibor Petković;Žarko Ćojbašič;Vlastimir Nikolić

  • Support vector regression based prediction of global solar radiation on a horizontal surface

    Kasra Mohammadi;Shahaboddin Shamshirband;Mohammad Hossein Anisi;Khubaib Amjad Alam

  • Adaptive neuro-fuzzy maximal power extraction of wind turbine with continuously variable transmission

    Dalibor Petković;Žarko Ćojbašić;Vlastimir Nikolić;Shahaboddin Shamshirband

  • Adaptive neuro-fuzzy approach for solar radiation prediction in Nigeria

    Lanre Olatomiwa;Lanre Olatomiwa;Saad Mekhilef;Shahaboddin Shamshirband;Dalibor Petković

  • RETRACTED ARTICLE: Analysis of influential factors forpredicting the shear strength of a V-shaped angle shear connector in composite beamsusing an adaptive neuro-fuzzy technique

    I. Mansouri;M. Shariati;M. Safa;Z. Ibrahim

  • Adaptive neuro fuzzy controller for adaptive compliant robotic gripper

    Dalibor Petković;Mirna Issa;Nenad D. Pavlović;Lena Zentner

  • A comparative evaluation for identifying the suitability of extreme learning machine to predict horizontal global solar radiation

    Shahaboddin Shamshirband;Kasra Mohammadi;Por Lip Yee;Dalibor Petković

  • Performance investigation of micro- and nano-sized particle erosion in a 90° elbow using an ANFIS model

    Shahaboddin Shamshirband;Amir Malvandi;Arash Karimipour;Marjan Goodarzi

  • Potential of adaptive neuro-fuzzy system for prediction of daily global solar radiation by day of the year

    Kasra Mohammadi;Shahaboddin Shamshirband;Chong Wen Tong;Khubaib Amjad Alam

  • Adaptive neuro-fuzzy estimation of conductive silicone rubber mechanical properties

    Dalibor Petković;Mirna Issa;Nenad D. Pavlović;Nenad T. Pavlović

  • Support vector regression methodology for wind turbine reaction torque prediction with power-split hydrostatic continuous variable transmission

    Shahaboddin Shamshirband;Dalibor Petković;Amineh Amini;Nor Badrul Anuar

  • Estimating the diffuse solar radiation using a coupled support vector machine–wavelet transform model

    Shahaboddin Shamshirband;Kasra Mohammadi;Hossein Khorasanizadeh;Por Lip Yee

  • Adaptive neuro-fuzzy estimation of autonomic nervous system parameters effect on heart rate variability

    D. Petković;Ž. Ćojbašić

  • Prediction of heat load in district heating systems by Support Vector Machine with Firefly searching algorithm

    Eiman Tamah Al-Shammari;Afram Keivani;Shahaboddin Shamshirband;Ali Mostafaeipour

  • Wind farm efficiency by adaptive neuro-fuzzy strategy

    Dalibor Petković;Nenad T. Pavlović;Žarko Ćojbašić

  • Forecasting of consumers heat load in district heating systems using the support vector machine with a discrete wavelet transform algorithm

    Milan Protić;Shahaboddin Shamshirband;Dalibor Petković;Almas Abbasi

  • Sensor Data Fusion by Support Vector Regression Methodology—A Comparative Study

    Shahaboddin Shamshirband;Dalibor Petkovic;Hossein Javidnia;Abdullah Gani

  • Wind speed parameters sensitivity analysis based on fractals and neuro-fuzzy selection technique

    Vlastimir Nikolić;Vojislav V. Mitić;Ljubiša Kocić;Dalibor Petković

Frequent Co-Authors

Shahab S. Band
Shahab S. Band National Yunlin University of Science and Technology
Nor Badrul Anuar
Nor Badrul Anuar University of Malaya
Kasra Mohammadi
Kasra Mohammadi University of Utah
Miss Laiha Mat Kiah
Miss Laiha Mat Kiah University of Malaya
Abdullah Gani
Abdullah Gani University of Malaya
Ali Mostafaeipour
Ali Mostafaeipour California State University, Fullerton
Hossein Bonakdari
Hossein Bonakdari University of Ottawa
Ahmad Sedaghat
Ahmad Sedaghat Australian University Kuwait
Saad Mekhilef
Saad Mekhilef Swinburne University of Technology
Ainuddin Wahid Abdul Wahab
Ainuddin Wahid Abdul Wahab Information Technology University

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