World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
6345
World Ranking
11567
National Ranking
3

Igor Djurovic publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Igor Djurovic sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 231 publications — 57th percentile

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

The last bar groups every scientist with 991 publications or more.

Igor Djurovic D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Igor Djurovic sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 35 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Igor Djurovic is a researcher affiliated with the University of Montenegro in Montenegro. Their academic work spans primarily the fields of engineering and computer science, with a focus on electrical and electronic engineering, signal processing, computer vision and pattern recognition, control and systems engineering, and artificial intelligence.

Their research intersects several specialized topics, including:

  • Machine Fault Diagnosis Techniques
  • Advanced Electrical Measurement Techniques
  • Image and Signal Denoising Methods
  • Blind Source Separation Techniques
  • Target Tracking and Data Fusion in Sensor Networks
  • Radar Systems and Signal Processing
  • Advanced Steganography and Watermarking Techniques

Igor Djurovic holds multiple publications, with frequent appearances in journals such as Signal Processing, Digital Signal Processing, SSRN Electronic Journal, Journal of Electrical Engineering, and Sensors.

Notable recent papers include:

  • "Robust speech watermarking by a jointly trained embedder and detector using a DNN" (2021), published in Digital Signal Processing
  • "Estimating the Instantaneous Frequency of Linear and Nonlinear Frequency Modulated Radar Signals-A Comparative Study" (2021), published in Sensors
  • "ADTFD-RANSAC For multi-component IF estimation" (2022), published in Signal Processing
  • "The second-order local polynomial Fourier transform as instantaneous frequency and chirp rate estimator" (2022), published in Signal Processing
  • "Epidemiological control measures and predicted number of infections for SARS-CoV-2 pandemic: case study Serbia march-april 2020" (2020), published in Heliyon

Their collaborative network includes frequent co-authors such as Kosta Pavlović, Slavko Kovačević, Adam Wojciechowski, Veselin N. Ivanović, and Marko Simeunović.

Djurovic's contributions often engage advanced analytical techniques and methodologies within signal processing and related applications, reflecting a substantial involvement in areas such as instantaneous frequency estimation, watermarking technologies enhanced by deep neural networks, and control measures in epidemiology.

Best Publications

  • Time--frequency feature representation using energy concentration: An overview of recent advances

    Ervin Sejdić;Igor Djurović;Jin Jiang

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

    Ervin Sejdić;Igor Djurović;LJubiša Stanković

  • Digital watermarking in the fractional Fourier transformation domain

    Igor Djurovic;Srdjan Stankovic;Ioannis Pitas

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

    Igor Djurović;LJubiša Stanković

  • Watermarking in the space/spatial-frequency domain using two-dimensional Radon-Wigner distribution

    S. Stankovic;I. Djurovic;I. Pitas

  • Separation of target rigid body and micro-doppler effects in ISAR imaging

    S. Stankovic;I. Djurovic;T. Thayaparan

  • 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

  • Integrated Cubic Phase Function for Linear FM Signal Analysis

    Pu Wang;Hongbin Li;I Djurović;B Himed

  • A window width optimized S-transform

    Ervin Sejdic;Igor Djurovic;Jin Jiang

  • Frequency-based window width optimization for S-transform

    Igor Djurović;Ervin Sejdić;Jin Jiang

  • A Hybrid CPF-HAF Estimation of Polynomial-Phase Signals: Detailed Statistical Analysis

    I. Djurovic;M. Simeunovic;S. Djukanovic;Pu Wang

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

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

  • Quantitative Performance Analysis of Scalogram as Instantaneous Frequency Estimator

    E. Sejdic;I. Djurovic;L. Stankovic

  • Quasi-maximum-likelihood estimator of polynomial phase signals

    Igor Djurović;Ljubiša Stanković

  • Optimal placement of PMUs with limited number of channels

    Z. Miljanić;I. Djurović;I. Vujošević

  • STFT-based estimator of polynomial phase signals

    Igor Djurović;LjubišA Stanković

  • Generalized High-Order Phase Function for Parameter Estimation of Polynomial Phase Signal

    Pu Wang;I. Djurovic;Jianyu Yang

  • Robust Wigner distribution with application to the instantaneous frequency estimation

    I. Djurovic;L. Stankovic

  • Viterbi algorithm for chirp-rate and instantaneous frequency estimation

    Igor Djurović

  • Adaptive local polynomial fourier transform in ISAR

    Igor Djurović;Thayananthan Thayaparan;Ljubiša Stanković

Frequent Co-Authors

Ljubisa Stankovic
Ljubisa Stankovic University of Montenegro
Vladimir V. Lukin
Vladimir V. Lukin National Aerospace University – Kharkiv Aviation Institute
Srdjan Stankovic
Srdjan Stankovic University of Montenegro
Ervin Sejdic
Ervin Sejdic University of Pittsburgh
Jin Jiang
Jin Jiang University of Western Ontario
Vladimir Katkovnik
Vladimir Katkovnik Tampere University
Braham Himed
Braham Himed United States Air Force Research Laboratory
Hongbin Li
Hongbin Li Stevens Institute of Technology
Ioannis Pitas
Ioannis Pitas Aristotle University of Thessaloniki
Yimin Zhang
Yimin Zhang Temple University

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