World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
58
Citations
10759
World Ranking
1901
National Ranking
1

Computer Science

D-Index
59
Citations
10986
World Ranking
3487
National Ranking
1

Ljubisa Stankovic 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 Ljubisa Stankovic 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: 323 publications — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Ljubisa Stankovic 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 Ljubisa Stankovic 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: 58 D-Index — 74th percentile

74% 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

  • 2012 - Member of Academia Europaea
  • 2012 - IEEE Fellow For contributions to time-frequency signal analysis
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts

Overview

Ljubiša Stankovic is affiliated with the University of Montenegro in Montenegro. Their research spans multiple fields, predominantly in computer science and engineering, with a significant focus on subfields such as computer vision and pattern recognition, artificial intelligence, biomedical engineering, computational mechanics, and statistical and nonlinear physics.

Their scholarly work addresses a variety of topics, including:

  • Image and Signal Denoising Methods
  • Sparse and Compressive Sensing Techniques
  • Advanced Graph Neural Networks
  • Complex Network Analysis Techniques
  • Image Processing Techniques and Applications
  • Microwave Imaging and Scattering Analysis
  • Photoacoustic and Ultrasonic Imaging

Ljubiša Stankovic's publication record includes contributions to prominent venues such as:

  • arXiv (Cornell University)
  • Digital Signal Processing
  • SSRN Electronic Journal
  • Signal Processing
  • Neural Networks

Some recent papers authored include:

  • Data Analytics on Graphs Part III: Machine Learning on Graphs, from Graph Topology to Applications, 2020, Foundations and Trends® in Machine Learning
  • Self-Matching CAM: A Novel Accurate Visual Explanation of CNNs for SAR Image Interpretation, 2021, Remote Sensing
  • Vertex-frequency graph signal processing: A comprehensive review, 2020, Digital Signal Processing
  • Data Analytics on Graphs Part I: Graphs and Spectra on Graphs, 2020, Foundations and Trends® in Machine Learning
  • Data Analytics on Graphs Part II: Signals on Graphs, 2020, Foundations and Trends® in Machine Learning

Frequent collaborators in their research include:

  • Miloš Daković
  • Miloš Brajović
  • Danilo P. Mandic
  • Zhenpeng Feng
  • Mingzhe Zhu

The scientist's work has been recognized with several distinctions, including election as a Member of Academia Europaea in 2012, designation as an IEEE Fellow in 2012 for contributions to time-frequency signal analysis, and membership in the European Academy of Sciences and Arts.

Best Publications

  • A measure of some time-frequency distributions concentration

    Ljubiša Stanković

  • A method for time-frequency analysis

    L. Stankovic

  • Fractional Fourier transform as a signal processing tool: An overview of recent developments

    Ervin Sejdić;Igor Djurović;LJubiša Stanković

  • Analysis of radar micro-Doppler signatures from experimental helicopter and human data

    T. Thayaparan;S. Abrol;E. Riseborough;L. Stankovic

  • Instantaneous frequency estimation using the Wigner distribution with varying and data-driven window length

    V. Katkovnik;L. Stankovic

  • Time-Frequency Signal Analysis With Applications

    Ljubiša Stanković;Miloš Daković;Thayannathan Thayaparan

  • An algorithm for the Wigner distribution based instantaneous frequency estimation in a high noise environment

    Igor Djurović;LJubiša Stanković

  • Fast communication: Missing samples analysis in signals for applications to L-estimation and compressive sensing

    Ljubisa Stankovic;Srdjan Stankovic;Moeness Amin

  • Compressive Sensing Based Separation of Nonstationary and Stationary Signals Overlapping in Time-Frequency

    Ljubisa Stankovic;Irena Orovic;Srdjan Stankovic;Moeness Amin

  • Instantaneous frequency in time–frequency analysis: Enhanced concepts and performance of estimation algorithms

    Ljubiša Stanković;Igor Djurović;Srdjan Stanković;Marko Simeunović

  • Micro-Doppler-based target detection and feature extraction in indoor and outdoor environments

    Thayananthan Thayaparan;Ljubisa Stankovic;Igor Djurovic

  • Synchrosqueezing-based time-frequency analysis of multivariate data

    Alireza Ahrabian;David Looney;Ljubiša Stanković;Danilo P. Mandic

  • Signal Decomposition by Using the S-Method With Application to the Analysis of HF Radar Signals in Sea-Clutter

    L.J. Stankovic;T. Thayaparan;M. Dakovic

  • Time-frequency signal analysis based on the windowed fractional Fourier transform

    Ljubiša Stankovic;Tatiana Alieva;Martin J. Bastiaans

  • Fast communication: An automated signal reconstruction method based on analysis of compressive sensed signals in noisy environment

    Srdjan Stanković;Irena Orović;Ljubiša Stanković

  • Time-frequency analysis of multiple resonances in combustion engine signals

    Ljubiša Stanković;Johann F. Böhme

  • Algorithm for the instantaneous frequency estimation using time-frequency distributions with adaptive window width

    L. Stankovic;V. Katkovnik

  • Performance of quadratic time-frequency distributions as instantaneous frequency estimators

    V.N. Ivanovic;M. Dakovic;L. Stankovic

  • An analysis of instantaneous frequency representation using time-frequency distributions-generalized Wigner distribution

    L.J. Stankovic;S. Stankovic

  • Micro-Doppler Removal in the Radar Imaging Analysis

    L. Stankovic;T. Thayaparan;M. Dakovic;V. Popovic-Bugarin

  • Robust L-estimation based forms of signal transforms and time-frequency representations

    I. Djurovic;L. Stankovic;J.F. Bohme

Frequent Co-Authors

Igor Djurovic
Igor Djurovic University of Montenegro
Srdjan Stankovic
Srdjan Stankovic University of Montenegro
Danilo P. Mandic
Danilo P. Mandic Imperial College London
Ervin Sejdic
Ervin Sejdic University of Pittsburgh
Vladimir Katkovnik
Vladimir Katkovnik Tampere University
Boualem Boashash
Boualem Boashash University of Queensland
Moeness G. Amin
Moeness G. Amin Villanova University
Vladimir V. Lukin
Vladimir V. Lukin National Aerospace University – Kharkiv Aviation Institute
Jin Jiang
Jin Jiang University of Western Ontario
Alex B. Gershman
Alex B. Gershman Technical University of Darmstadt

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