World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

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

Electronics and Electrical Engineering

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

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

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

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For those studying Electronics and Electrical Engineering in the USA, exploring complementary online programs can enhance career prospects. Many professionals benefit from short certificate programs that pay well online, offering specialized skills in a condensed timeframe. These certificates can provide a fast track to higher earnings and practical expertise.

Additionally, introverted engineers may find rewarding options by focusing on high paying careers for introverts, aligning their natural tendencies with lucrative roles that often require deep focus and technical proficiency.

For those interested in leadership within tech fields, pursuing an accelerated project management degree online can provide essential skills quickly. This path is especially beneficial for engineers seeking to manage complex projects effectively.

Further, earning a project manager bachelor degree online supports career advancement by blending technical engineering knowledge with project execution abilities, opening doors to managerial positions and higher salaries.

Best Scientists Citing Ljubisa Stankovic

Trending Scientists

Recently Published Articles