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D-Index & Metrics

Computer Science

D-Index
37
Citations
5614
World Ranking
10782
National Ranking
2

Srdjan Stankovic 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 Srdjan Stankovic 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: 230 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.

Srdjan Stankovic 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 Srdjan Stankovic 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Srdjan Stankovic is affiliated with the University of Montenegro in Montenegro and has contributed to the fields of Computer Science and Engineering. Their research primarily spans several subfields, including Computer Networks and Communications, Biomedical Engineering, Artificial Intelligence, Computational Mechanics, and Computer Vision and Pattern Recognition.

The scientist's main topics of work involve Distributed Control Multi-Agent Systems, Reinforcement Learning in Robotics, Sparse and Compressive Sensing Techniques, Microwave Imaging and Scattering Analysis, Image and Signal Denoising Methods, Age of Information Optimization, and Photoacoustic and Ultrasonic Imaging.

Recent papers authored or coauthored by Srdjan Stankovic include the following:

  • Nonlinear robustified stochastic consensus seeking, 2020, Systems & Control Letters
  • Reconstruction of signals with sparse representation in optimally dilated Hermite basis, 2023, Signal Image and Video Processing
  • Parameter optimization of orthogonal discrete Hermite transform formed using eigenvectors of a symmetric tridiagonal matrix, 2021, Digital Signal Processing
  • Multi-agent off-policy actor-critic algorithm for distributed multi-task reinforcement learning, 2023, European Journal of Control
  • Distributed Consensus-Based Multi-Agent Off-Policy Temporal-Difference Learning, 2021, 2021 60th IEEE Conference on Decision and Control (CDC)

Srdjan Stankovic has frequently collaborated with several coauthors, notably:

  • Marko Beko
  • Miloš S. Stanković
  • Irena Orović
  • Miloš Brajović
  • Nemanja Ilić

The venues where Srdjan Stankovic has published work include:

  • Signal Image and Video Processing
  • Digital Signal Processing
  • European Journal of Control
  • Systems & Control Letters
  • 2021 60th IEEE Conference on Decision and Control (CDC)

Best Publications

  • Decentralized Parameter Estimation by Consensus Based Stochastic Approximation

    S S Stanković;M S Stankovic;D M Stipanovic

  • Digital watermarking in the fractional Fourier transformation domain

    Igor Djurovic;Srdjan Stankovic;Ioannis Pitas

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

    S. Stankovic;I. Djurovic;I. Pitas

  • 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

  • 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

  • Multimedia Signals and Systems

    Srdjan Stankovic;Irena Orovic;Ervin Sejdic

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

    Srdjan Stanković;Irena Orović;Ljubiša Stanković

  • Local polynomial Fourier transform: A review on recent developments and applications

    Xiumei Li;Guoan Bi;Srdjan Stankovic;Abdelhak M. Zoubir

  • Compressive sensing meets time-frequency: An overview of recent advances in time-frequency processing of sparse signals.

    Ervin Sejdić;Irena Orović;Srdjan Stanković

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

    L.J. Stankovic;S. Stankovic

  • A new approach for classification of human gait based on time-frequency feature representations

    Irena Orović;Srdjan Stanković;Moeness Amin

  • Robust Time-Frequency Analysis Based on the L-Estimation and Compressive Sensing

    L. Stankovic;S. Stankovic;I. Orovic;M. G. Amin

  • Compressive Sensing in Signal Processing: Algorithms and Transform Domain Formulations

    Irena Orović;Vladan Papić;Cornel Ioana;Xiumei Li

  • Multiwindow S-method for instantaneous frequency estimation and its application in radar signal analysis

    I. Orovic;S. Stankovic;T. Thayaparan;L.J. Stankovic

  • A Tutorial on Sparse Signal Reconstruction and Its Applications in Signal Processing

    Ljubiša Stanković;Ervin Sejdić;Srdjan Stanković;Miloš Daković

  • An architecture for the realization of a system for time-frequency signal analysis

    S. Stankovic;L. Stankovic

  • A Virtual Instrument for Time-Frequency Analysis of Signals With Highly Nonstationary Instantaneous Frequency

    I Orovic;M Orlandic;S Stankovic;Z Uskokovic

  • From the STFT to the Wigner Distribution [Lecture Notes]

    Ljubisa Stankovic;Srdjan Stankovic;Milos Dakovic

  • Multimedia Signals and Systems: Basic and Advanced Algorithms for Signal Processing

    Srdjan Stankovic;Irena Orovic;Ervin Sejdic

Frequent Co-Authors

Ljubisa Stankovic
Ljubisa Stankovic University of Montenegro
Igor Djurovic
Igor Djurovic University of Montenegro
Moeness G. Amin
Moeness G. Amin Villanova University
Ervin Sejdic
Ervin Sejdic University of Pittsburgh
Jocelyn Chanussot
Jocelyn Chanussot Grenoble Alpes University
Ioannis Pitas
Ioannis Pitas Aristotle University of Thessaloniki
Dusan M. Stipanovic
Dusan M. Stipanovic University of Illinois at Urbana-Champaign
Abdelhak M. Zoubir
Abdelhak M. Zoubir Technical University of Darmstadt
Yimin Zhang
Yimin Zhang Temple University
Tom Chau
Tom Chau University of Toronto

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