World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
4951
World Ranking
10378
National Ranking
75

Karl Granstrom 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 Karl Granstrom 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: 102 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

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

Karl Granstrom 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 Karl Granstrom 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Karl Granstrom is affiliated with Chalmers University of Technology in Sweden. Their research spans multiple domains within computer science and engineering, with a particular focus on artificial intelligence and sensor-based localization technologies.

Their recent publication record includes work in several prominent venues:

  • "5G mmWave Cooperative Positioning and Mapping Using Multi-Model PHD Filter and Map Fusion," 2020, IEEE Transactions on Wireless Communications
  • "Trajectory Poisson Multi-Bernoulli Filters," 2020, IEEE Transactions on Signal Processing
  • "Learning-Based Extended Object Tracking Using Hierarchical Truncation Measurement Model With Automotive Radar," 2021, IEEE Journal of Selected Topics in Signal Processing
  • "Poisson Multi-Bernoulli Approximations for Multiple Extended Object Filtering," 2021, IEEE Transactions on Aerospace and Electronic Systems
  • "PMBM-Based SLAM Filters in 5G mmWave Vehicular Networks," 2022, IEEE Transactions on Vehicular Technology

Frequent collaborators in their research include:

  • Lennart Svensson
  • Yuxuan Xia
  • Jason Williams
  • Ángel F. García-Fernández
  • Henk Wymeersch

The most common publication venues reflect their engagement with both theoretical foundations and application-driven research:

  • arXiv (Cornell University)
  • IEEE Transactions on Aerospace and Electronic Systems
  • IEEE Transactions on Signal Processing
  • IEEE Transactions on Wireless Communications
  • IEEE Journal of Selected Topics in Signal Processing

Their primary fields of study include computer science and engineering. Subfields they actively contribute to encompass:

  • Artificial Intelligence
  • Ocean Engineering
  • Electrical and Electronic Engineering
  • Aerospace Engineering
  • Environmental Engineering

Main research topics addressed across publications are:

  • Target Tracking and Data Fusion in Sensor Networks
  • Maritime Navigation and Safety
  • Indoor and Outdoor Localization Technologies
  • Gaussian Processes and Bayesian Inference
  • Robotics and Sensor-Based Localization
  • Air Quality Monitoring and Forecasting
  • Millimeter-Wave Propagation and Modeling

Best Publications

  • Extended Target Tracking using a Gaussian-Mixture PHD Filter

    K. Granstrom;C. Lundquist;O. Orguner

  • A phd Filter for Tracking Multiple Extended Targets Using Random Matrices

    K. Granstrom;U. Orguner

  • Extended OBJECT TRACKING: Introduction, overview, and applications

    Karl Granström;Marcus Baum;Stephan Reuter

  • Multiple Extended Target Tracking With Labeled Random Finite Sets

    Michael Beard;Stephan Reuter;Karl Granstrom;Ba-Tuong Vo

  • An Extended Target CPHD Filter and a Gamma Gaussian Inverse Wishart Implementation

    Christian Lundquist;Karl Granstrom;Umut Orguner

  • Gamma Gaussian Inverse Wishart Probability Hypothesis Density for Extended Target Tracking Using X-Band Marine Radar Data

    Karl Granstrom;Antonio Natale;Paolo Braca;Giovanni Ludeno

  • Poisson multi-Bernoulli mixture filter: direct derivation and implementation

    Ángel F. García-Fernández;Jason L. Williams;Karl Granström;Lennart Svensson

  • 5G mmWave Cooperative Positioning and Mapping Using Multi-Model PHD Filter and Map Fusion

    Hyowon Kim;Karl Granstrom;Lin Gao;Giorgio Battistelli

  • Mono-Camera 3D Multi-Object Tracking Using Deep Learning Detections and PMBM Filtering

    Samuel Scheidegger;Joachim Benjaminsson;Emil Rosenberg;Amrit Krishnan

  • A Gaussian mixture PHD filter for extended target tracking

    Karl Granstrom;Christian Lundquist;Umut Orguner

  • Poisson multi-Bernoulli conjugate prior for multiple extended object filtering

    Karl Granstrom;Maryam Fatemi;Lennart Svensson

  • Poisson Multi-Bernoulli Mixture Filter: Direct Derivation and Implementation

    Angel F. Garcia-Fernandez;Jason L. Williams;Karl Granstrom;Lennart Svensson

  • Metrics for performance evaluation of elliptic extended object tracking methods

    Shishan Yang;Marcus Baum;Karl Granstrom

  • Extended target tracking with a cardinalized probability hypothesis density filter

    Umut Orguner;Christian Lundquist;Karl Granstrom

  • Extended Object Tracking: Introduction, Overview and Applications

    Karl Granstrom;Marcus Baum;Stephan Reuter

  • Estimation and maintenance of measurement rates for multiple extended target tracking

    Karl Granstrom;Umut Orguner

  • New prediction for extended targets with random matrices

    Karl Granström;Umut Orguner

  • A multiple model PHD approach to tracking of cars under an assumed rectangular shape

    Karl Granström;Stephan Reuter;Daniel Alexander Meissner;Alexander Scheel

  • On Spawning and Combination of Extended/Group Targets Modeled With Random Matrices

    K. Granstrom;U. Orguner

  • Learning to close loops from range data

    Karl Granström;Thomas B Schön;Juan I Nieto;Fabio T Ramos

  • Trajectory Poisson Multi-Bernoulli Filters

    Angel F. Garcia-Fernandez;Lennart Svensson;Jason L. Williams;Yuxuan Xia

  • Learning to detect loop closure from range data

    Karl Granstrom;Jonas Callmer;Fabio Ramos;Juan Nieto

  • Likelihood-Based Data Association for Extended Object Tracking Using Sampling Methods

    Karl Granstrom;Lennart Svensson;Stephan Reuter;Yuxuan Xia

  • Tracking rectangular and elliptical extended targets using laser measurements

    Karl Granstrom;Christian Lundquist;Umut Orguner

  • Poisson Multi-Bernoulli Mixture Conjugate Prior for Multiple Extended Target Filtering

    Karl Granstrom;Maryam Fatemi;Lennart Svensson

  • Corrections on: “Extended Target Tracking Using a Gaussian-Mixture PHD Filter”

    Karl Granstrom;Umut Orguner;Ronald Mahler;Christian Lundquist

Frequent Co-Authors

Peter Willett
Peter Willett University of Connecticut
Henk Wymeersch
Henk Wymeersch Chalmers University of Technology
Yaakov Bar-Shalom
Yaakov Bar-Shalom University of Connecticut
Paolo Braca
Paolo Braca North Atlantic Treaty Organization
Gemine Vivone
Gemine Vivone National Research Council (CNR)
Ba-Ngu Vo
Ba-Ngu Vo Curtin University
Fredrik Gustafsson
Fredrik Gustafsson Linköping University
Jocelyn Chanussot
Jocelyn Chanussot Grenoble Alpes University
Ba-Tuong Vo
Ba-Tuong Vo Curtin University
Giorgio Battistelli
Giorgio Battistelli University of Florence

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