World's Best Scientists 2026 revealed!
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Engineering and Technology
Slovenia
2022

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
45
Citations
6944
World Ranking
3604
National Ranking
1

Computer Science

D-Index
46
Citations
6891
World Ranking
6937
National Ranking
7

Igor Škrjanc publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Igor Škrjanc sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 297 publications — 57th percentile

57% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Igor Škrjanc D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Igor Škrjanc sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 45 D-Index — 50th percentile

50% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Research.com Recognitions

  • 2022 - Research.com Engineering and Technology in Slovenia Leader Award

Overview

Igor Škrjanc is affiliated with the University of Ljubljana in Slovenia. Their research spans primarily the fields of Engineering and Computer Science, with a significant focus on Artificial Intelligence and Control and Systems Engineering. Additional subfields include Mechanical Engineering, Signal Processing, and Electrical and Electronic Engineering.

Their work covers a range of topics related to fuzzy logic, control systems, and predictive methods. The main research themes they explore include:

  • Fuzzy Logic and Control Systems
  • Fault Detection and Control Systems
  • Time Series Analysis and Forecasting
  • Neural Networks and Applications
  • Advanced Control Systems Optimization
  • Control Systems and Identification
  • Anomaly Detection Techniques and Applications

Prominent recent publications by Igor Škrjanc include:

  • "Nonlinear modeling and robust LMI fuzzy control of overhead crane systems" (2020, Journal of the Franklin Institute)
  • "Optimal Rule-Based Granular Systems From Data Streams" (2020, IEEE Transactions on Fuzzy Systems)
  • "Online bagging of evolving fuzzy systems" (2021, Information Sciences)
  • "Evolving Error Feedback Fuzzy Model for Improved Robustness Under Measurement Noise" (2022, IEEE Transactions on Fuzzy Systems)
  • "Soft sensor of bath temperature in an electric arc furnace based on a data-driven Takagi-Sugeno fuzzy model" (2021, Applied Soft Computing)

Frequent collaborators in their research include Vito Logar, Žiga Stržinar, Boštjan Pregelj, Goran Andonovski, and Miha Ožbot. These co-authors have contributed to multiple joint publications, highlighting ongoing cooperative research efforts.

Igor Škrjanc's work has been published predominantly in the following venues:

  • Applied Soft Computing
  • arXiv (Cornell University)
  • IEEE Transactions on Fuzzy Systems
  • Sensors
  • Information Sciences

Best Publications

  • Tracking-error model-based predictive control for mobile robots in real time

    Gregor Klančar;Igor Škrjanc

  • Evolving fuzzy and neuro-fuzzy approaches in clustering, regression, identification, and classification: A Survey

    Igor Skrjanc;José Antonio Iglesias;Araceli Sanchis;Daniel F. Leite

  • Time optimal path planning considering acceleration limits

    Marko Lepetič;Gregor Klančar;Igor Škrjanc;Drago Matko

  • Predictive functional control based on fuzzy model for heat-exchanger pilot plant

    I. Skrjanc;D. Matko

  • Implementation of an Evolving Fuzzy Model (eFuMo) in a Monitoring System for a Waste-Water Treatment Process

    Dejan Dovzan;Vito Logar;Igor Skrjanc

  • Technical communique: Identification of dynamical systems with a robust interval fuzzy model

    Igor ŠKrjanc;SašO Blaič;Osvaldo Agamennoni

  • Recursive clustering based on a Gustafson–Kessel algorithm

    Dejan Dovžan;Igor Škrjanc

  • Modeling and Validation of an Electric Arc Furnace: Part 1, Heat and Mass Transfer

    Vito Logar;Dejan Dovžan;Igor Škrjanc

  • Optimal cooperative collision avoidance between multiple robots based on Bernstein-Bézier curves

    Igor Škrjanc;Gregor Klančar

  • Recursive fuzzy c-means clustering for recursive fuzzy identification of time-varying processes

    Dejan Dovžan;Igor Škrjanc

  • EKF-Based Localization of a Wheeled Mobile Robot in Structured Environments

    Luka Teslić;Igor Škrjanc;Gregor Klančar

  • Globally stable direct fuzzy model reference adaptive control

    Sašo Blažič;Igor Škrjanc;Drago Matko

  • Short-Term Load Forecasting by Separating Daily Profiles and Using a Single Fuzzy Model Across the Entire Domain

    Gregor Cerne;Dejan Dovzan;Igor Skrjanc

  • Hybrid fuzzy predictive control based on genetic algorithms for the temperature control of a batch reactor

    Javier Causa;Gorazd Karer;Alfredo Núñez;Doris Sáez

  • Mathematical Modeling and Experimental Validation of an Electric Arc Furnace

    Vito Logar;Dejan Dovžan;Igor Škrjanc

  • Hybrid fuzzy model-based predictive control of temperature in a batch reactor

    Gorazd Karer;Gašper Mušič;Igor Škrjanc;Borut Zupančič

  • Incremental Rule Splitting in Generalized Evolving Fuzzy Systems for Autonomous Drift Compensation

    Edwin Lughofer;Mahardhika Pratama;Igor Skrjanc

  • Short communication: New results in modelling derived from Bayesian filtering

    Claudiu Pozna;Radu-Emil Precup;József K. Tar;Igor Škrjanc

  • Design and Stability Analysis of Fuzzy Model-based Predictive Control—A Case Study

    Sašo Blažič;Igor Škrjanc

  • Energy-efficient fuzzy model-based multivariable predictive control of a HVAC system

    Aleksander Preglej;Jakob Rehrl;Daniel Schwingshackl;Igor Steiner

  • Brief paper: Fault detection for nonlinear systems with uncertain parameters based on the interval fuzzy model

    Simon Oblak;Igor Škrjanc;Sašo Blaič

Frequent Co-Authors

Doris Saez
Doris Saez University of Chile
Plamen Angelov
Plamen Angelov Lancaster University
Fernando Gomide
Fernando Gomide State University of Campinas
Edwin Lughofer
Edwin Lughofer Johannes Kepler University of Linz
Stefan Preitl
Stefan Preitl Polytechnic University of Timişoara
Radu-Emil Precup
Radu-Emil Precup Polytechnic University of Timişoara
Mahardhika Pratama
Mahardhika Pratama University of South Australia
Wenlian Lu
Wenlian Lu Fudan University
Giorgio Battistelli
Giorgio Battistelli University of Florence
Derong Liu
Derong Liu University of Illinois at Chicago

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