World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
15246
World Ranking
4484
National Ranking
2098

Petar M. Djuric 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 Petar M. Djuric 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: 503 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Petar M. Djuric 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 Petar M. Djuric 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: 54 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Overview

Petar M. Djuric is affiliated with Stony Brook University in the United States. Their research spans multiple domains within computer science and engineering, with particular emphasis on artificial intelligence, cognitive neuroscience, electrical and electronic engineering, aerospace engineering, and signal processing.

Their scholarly contributions cover a wide array of specialized topics, including:

  • Gaussian Processes and Bayesian Inference
  • Functional Brain Connectivity Studies
  • Indoor and Outdoor Localization Technologies
  • Target Tracking and Data Fusion in Sensor Networks
  • Bayesian Modeling and Causal Inference
  • EEG and Brain-Computer Interfaces
  • Neonatal and Fetal Brain Pathology

Recent notable publications encompass:

  • "Near-Field Tracking with Large Antenna Arrays: Fundamental Limits and Practical Algorithms", 2021, Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)
  • "Fusion of Probability Density Functions", 2022, Proceedings of the IEEE
  • "Dynamic Radar Networks of UAVs: A Tutorial Overview and Tracking Performance Comparison With Terrestrial Radar Networks", 2020, IEEE Vehicular Technology Magazine
  • "Dynamic Radar Network of UAVs: A Joint Navigation and Tracking Approach", 2020, IEEE Access
  • "Electrocorticography reveals thalamic control of cortical dynamics following traumatic brain injury", 2021, Communications Biology

Frequent co-authorship has been established with colleagues including:

  • Kurt Butler
  • Marzieh Ajirak
  • Guanchao Feng
  • Yuhao Liu
  • Anna Guerra

The body of published work by this researcher appears prominently in several venues, such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Signal Processing
  • 2022 30th European Signal Processing Conference (EUSIPCO)
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • 2021 29th European Signal Processing Conference (EUSIPCO)

Their publications reflect extensive engagement with foundational and applied aspects of signal processing, radar networks, brain-computer interfaces, and Bayesian inference methods. These contributions highlight a multidisciplinary approach bridging engineering principles and computational intelligence techniques.

Best Publications

  • Particle filtering

    P.M. Djuric;J.H. Kotecha;Jianqui Zhang;Yufei Huang

  • Gaussian particle filtering

    J.H. Kotecha;P.M. Djuric

  • Resampling Methods for Particle Filtering: Classification, implementation, and strategies

    Tiancheng Li;Miodrag Bolic;Petar M. Djuric

  • Gaussian sum particle filtering

    J.H. Kotecha;P.M. Djuric

  • Indoor Tracking: Theory, Methods, and Technologies

    Davide Dardari;Pau Closas;Petar M. Djuric

  • Frequency tracking in power networks in the presence of harmonics

    M.M. Begovic;P.M. Djuric;S. Dunlap;A.G. Phadke

  • Parameter estimation of chirp signals

    P.M. Djuric;S.M. Kay

  • Magnetic Resonance Spectroscopy Identifies Neural Progenitor Cells in the Live Human Brain

    Louis N. Manganas;Louis N. Manganas;Louis N. Manganas;Xueying Zhang;Xueying Zhang;Xueying Zhang;Yao Li;Yao Li;Yao Li;Raphael D. Hazel;Raphael D. Hazel;Raphael D. Hazel

  • Resampling algorithms and architectures for distributed particle filters

    M. Bolic;P.M. Djuric;Sangjin Hong

  • Resampling algorithms for particle filters: a computational complexity perspective

    Miodrag Bolić;Petar M. Djurić;Sangjin Hong

  • Distributed particle filtering in agent networks: A survey, classification, and comparison

    O. Hlinka;F. Hlawatsch;P. M. Djuric

  • Target Tracking by Particle Filtering in Binary Sensor Networks

    P.M. Djuric;M. Vemula;M.F. Bugallo

  • Adaptive Importance Sampling: The past, the present, and the future

    Monica F. Bugallo;Victor Elvira;Luca Martino;David Luengo

  • Likelihood Consensus and Its Application to Distributed Particle Filtering

    Ondrej Hlinka;Ondrej Slučiak;Franz Hlawatsch;Petar M. Djurić

  • A model selection rule for sinusoids in white Gaussian noise

    P.M. Djuric

  • Asymptotic MAP criteria for model selection

    P.M. Djuric

  • New resampling algorithms for particle filters

    M. Bolic;P.M. Djuric;Sangjin Hong

  • Model selection by MCMC computation

    C. Andrieu;P. M. Djurić;A. Doucet

  • A new class of particle filters for random dynamic systems with unknown statistics

    Joaquín Míguez;Mónica F. Bugallo;Petar M. Djurić

  • Multiple Particle Filtering

    P. M. Djuric;Ting Lu;M. F. Bugallo

  • Resampling Methods for Particle Filtering

    Tiancheng Li;Miodrag Bolic;Petar M. Djuric

Frequent Co-Authors

Miodrag Bolic
Miodrag Bolic University of Ottawa
Yufei Huang
Yufei Huang University of Pittsburgh
Davide Dardari
Davide Dardari University of Bologna
Samir R. Das
Samir R. Das Stony Brook University
Steven Kay
Steven Kay University of Rhode Island
Miroslav Begovic
Miroslav Begovic Texas A&M University
Jean-Yves Tourneret
Jean-Yves Tourneret National Polytechnic Institute of Toulouse
Colleen Loo
Colleen Loo University of New South Wales
José M. Menchón
José M. Menchón University of Barcelona

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

Exploring Computer Science in the USA can open doors to a wide range of online degrees and career options. For those interested in expanding their skills or making a career shift, identifying the most useful degrees can help align your studies with the current job market and maximize your employment opportunities after graduation.

If you aim to upskill quickly, you might consider the easiest online masters degree options. These programs often have flexible formats and can be completed in a shorter time, making them attractive for working professionals.

For those seeking advanced credentials, affordability is often a major concern. Students looking to pursue a doctorate may be interested in the cheapest online phd programs, which provide respected qualifications without the heavy financial burden.

Additionally, educators hoping to accelerate their careers can explore the cheapest edd programs online. Fast-track options make it possible to boost your professional credentials without a lengthy commitment.

Best Scientists Citing Petar M. Djuric

Trending Scientists

Recently Published Articles