World's Best Scientists 2026 revealed!
Branko Ristic

Branko Ristic

D-Index & Metrics

Computer Science

D-Index
54
Citations
16231
World Ranking
4470
National Ranking
133

Branko Ristic 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 Branko Ristic 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: 259 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Branko Ristic 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 Branko Ristic 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

Branko Ristic is affiliated with RMIT University in Australia and has contributed extensively to the fields of Computer Science and Engineering, with a particular focus on Artificial Intelligence and Aerospace Engineering. Their work spans several subfields including Computer Networks and Communications, Management Science and Operations Research, and Ocean Engineering.

The primary areas of research covered by Ristic include Target Tracking and Data Fusion in Sensor Networks, Radar Systems and Signal Processing, Distributed Sensor Networks and Detection Algorithms, Multi-Criteria Decision Making, Bayesian Modeling and Causal Inference, Indoor and Outdoor Localization Technologies, and Maritime Navigation and Safety.

Among recent publications, the following papers are noted:

  • "A Bernoulli Track-Before-Detect Filter for Interacting Targets in Maritime Radar," 2021, IEEE Transactions on Aerospace and Electronic Systems
  • "Collaborative infotaxis: Searching for a signal-emitting source based on particle filter and Gaussian fitting," 2020, Robotics and Autonomous Systems
  • "Satellite Localization of IoT Devices Using Signal Strength and Doppler Measurements," 2022, IEEE Wireless Communications Letters
  • "A Closed-Form Estimator for Bearings-Only Fusion of Heterogeneous Passive Sensors," 2020, IEEE Transactions on Signal Processing
  • "2D and 3D Angles-Only Target Tracking Based on Maximum Correntropy Kalman Filters," 2022, Sensors

Ristic frequently collaborates with a group of co-authors in their research efforts. The most frequent collaborators include:

  • Du Yong Kim
  • Sanjeev Arulampalam
  • Luke Rosenberg
  • Robin Guan
  • Zhijin Chen

Publication venues where Ristic has contributed multiple works include:

  • IEEE Transactions on Aerospace and Electronic Systems
  • arXiv (Cornell University)
  • IEEE Transactions on Signal Processing
  • Entropy
  • Information Fusion

Best Publications

  • Beyond the Kalman Filter: Particle Filters for Tracking Applications

    Branko Ristic;Sanjeev Arulampalam;Neil Gordon

  • Tracking a ballistic target: comparison of several nonlinear filters

    A. Farina;B. Ristic;D. Benvenuti

  • A Metric for Performance Evaluation of Multi-Target Tracking Algorithms

    B Ristic;Ba-Ngu Vo;D Clark;Ba-Tuong Vo

  • Statistical analysis of motion patterns in AIS Data: Anomaly detection and motion prediction

    B. Ristic;B. La Scala;M. Morelande;N. Gordon

  • Adaptive Target Birth Intensity for PHD and CPHD Filters

    B. Ristic;D. Clark;Ba-Ngu Vo;Ba-Tuong Vo

  • A Tutorial on Bernoulli Filters: Theory, Implementation and Applications

    B. Ristic;Ba-Tuong Vo;Ba-Ngu Vo;A. Farina

  • Wireless Sensor Networks for Battlefield Surveillance

    Tatiana Bokareva;Wen Hu;Salil Kanhere;Branko Ristic

  • Bearings-only tracking of manoeuvring targets using particle filters

    M. Sanjeev Arulampalam;B. Ristic;N. Gordon;T. Mansell

  • Tracking a manoeuvring target using angle-only measurements: algorithms and performance

    Branko Ristic;M. Sanjeev Arulampalam

  • Maximum likelihood registration for multiple dissimilar sensors

    N. Okello;B. Ristic

  • Improved SMC implementation of the PHD filter

    Branko Ristic;Daniel Clark;Ba-Ngu Vo

  • Comparison of the particle filter with range-parameterized and modified polar EKFs for angle-only tracking

    Sanjeev Arulampalam;Branko Ristic

  • Brief paper: Sensor control for multi-object state-space estimation using random finite sets

    Branko Ristic;Ba-Ngu Vo

  • A particle filter for joint detection and tracking of color objects

    Jacek Czyz;Branko Ristic;Benoit Macq

  • A Note on the Reward Function for PHD Filters with Sensor Control

    Branko Ristic;Ba-Ngu Vo;Daniel Clark

  • PCRLB for tracking in cluttered environments: measurement sequence conditioning approach

    M.L. Hernandez;A. Farina;B. Ristic

  • Comments on "The Cramer-Rao lower bounds for signals with constant amplitude and polynomial phase

    B. Ristic;B. Boashash

  • Performance bounds and comparison of nonlinear filters for tracking a ballistic object on re-entry

    B. Ristic;A. Farina;D. Benvenuti;M.S. Arulampalam

  • Cramer-Rao bound for nonlinear filtering with Pd<1 and its application to target tracking

    A. Farina;B. Ristic;L. Timmoneri

  • Mobility Tracking in Cellular Networks Using Particle Filtering

    L. Mihaylova;D. Angelova;S. Honary;D.R. Bull

  • Kernel design for time-frequency signal analysis using the Radon transform

    B. Ristic;B. Boashash

Frequent Co-Authors

Alfonso Farina
Alfonso Farina Finmeccanica (Italy)
Boualem Boashash
Boualem Boashash University of Queensland
Ba-Ngu Vo
Ba-Ngu Vo Curtin University
Philippe Smets
Philippe Smets Université Libre de Bruxelles
Lyudmila Mihaylova
Lyudmila Mihaylova University of Sheffield
Luigi Chisci
Luigi Chisci University of Florence
Liuping Wang
Liuping Wang RMIT University
Benoît Macq
Benoît Macq Université Catholique de Louvain
Ba-Tuong Vo
Ba-Tuong Vo Curtin University
Iman Shames
Iman Shames Australian National University

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