World's Best Scientists 2026 revealed!
Tomi Westerlund

Tomi Westerlund

D-Index & Metrics

Computer Science

D-Index
35
Citations
5824
World Ranking
11620
National Ranking
99

Tomi Westerlund 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 Tomi Westerlund 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: 189 publications — 42nd percentile

42% of scientists in this discipline score the same or lower.

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

Tomi Westerlund 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 Tomi Westerlund 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

Tomi Westerlund is affiliated with the University of Turku in Finland and has a substantial body of research primarily in computer science and engineering. Their work spans various fields and subfields, notably aerospace engineering, computer networks and communications, electrical and electronic engineering, information systems, and computer vision and pattern recognition.

Their research topics include:

  • Robotics and sensor-based localization
  • Blockchain technology applications and security
  • IoT and edge/fog computing
  • Remote sensing and LiDAR applications
  • Indoor and outdoor localization technologies
  • UAV applications and optimization
  • Underwater vehicles and communication systems

The scientist has coauthored with several frequent collaborators, including Jorge Peña Queralta, Xianjia Yu, Qingqing Li, Zhuo Zou, and Sahar Salimpour.

Some of Westerlund's recent papers include:

  • "Collaborative Multi-Robot Search and Rescue: Planning, Coordination, Perception, and Active Vision" (2020) published in IEEE Access
  • "UWB-Based Localization for Multi-UAV Systems and Collaborative Heterogeneous Multi-Robot Systems" (2020) published in Procedia Computer Science
  • "MSS U-Net: 3D segmentation of kidneys and tumors from CT images with a multi-scale supervised U-Net" (2020) published in Informatics in Medicine Unlocked
  • "Multi-Sensor Fusion for Navigation and Mapping in Autonomous Vehicles: Accurate Localization in Urban Environments" (2020) published in Unmanned Systems
  • "Smart Parking System with Dynamic Pricing, Edge-Cloud Computing and LoRa" (2020) published in Sensors

The primary publication venues where Westerlund's work frequently appears include arXiv (Cornell University), Procedia Computer Science, Sensors, Remote Sensing, and the IEEE Internet of Things Journal.

Best Publications

  • Timepix3: a 65K channel hybrid pixel readout chip with simultaneous ToA/ToT and sparse readout

    T Poikela;J Plosila;T Westerlund;M Campbell

  • Fog Computing in Healthcare Internet of Things: A Case Study on ECG Feature Extraction

    Tuan Nguyen Gia;Mingzhe Jiang;Amir-Mohammad Rahmani;Tomi Westerlund

  • Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey

    Wenshuai Zhao;Jorge Pena Queralta;Tomi Westerlund

  • Collaborative Multi-Robot Search and Rescue: Planning, Coordination, Perception, and Active Vision

    Jorge Pena Queralta;Jussi Taipalmaa;Bilge Can Pullinen;Victor Kathan Sarker

  • A Survey on Odometry for Autonomous Navigation Systems

    Sherif A. S. Mohamed;Mohammad-Hashem Haghbayan;Tomi Westerlund;Jukka Heikkonen

  • Energy efficient wearable sensor node for IoT-based fall detection systems

    Tuan Nguyen Gia;Victor Kathan Sarker;Igor Tcarenko;Amir M. Rahmani;Amir M. Rahmani

  • Low-cost fog-assisted health-care IoT system with energy-efficient sensor nodes

    Tuan Nguyen Gia;Mingzhe Jiang;Victor Kathan Sarker;Amir M. Rahmani

  • IoT-based continuous glucose monitoring system: A feasibility study

    Tuan Nguyen Gia;Mai Ali;Imed Ben Dhaou;Amir M. Rahmani;Amir M. Rahmani

  • Edge-AI in LoRa-based Health Monitoring: Fall Detection System with Fog Computing and LSTM Recurrent Neural Networks

    J. Pena Queralta;T. N. Gia;H. Tenhunen;T. Westerlund

  • Energy efficient fog-assisted IoT system for monitoring diabetic patients with cardiovascular disease

    Tuan Nguyen Gia;Imed Ben Dhaou;Mai Ali;Amir M. Rahmani;Amir M. Rahmani

  • UWB-Based Localization for Multi-UAV Systems and Collaborative Heterogeneous Multi-Robot Systems

    Wang Shule;Wang Shule;Carmen Martínez Almansa;Jorge Peña Queralta;Zhuo Zou

  • Leveraging Fog Computing for Healthcare IoT

    Behailu Negash;Tuan Nguyen Gia;Arman Anzanpour;Iman Azimi

  • MSS U-Net: 3D segmentation of kidneys and tumors from CT images with a multi-scale supervised U-Net

    Wenshuai Zhao;Dihong Jiang;Jorge Peña Queralta;Tomi Westerlund

  • Multi-Sensor Fusion for Navigation and Mapping in Autonomous Vehicles: Accurate Localization in Urban Environments

    Qingqing Li;Qingqing Li;Jorge Peña Queralta;Tuan Nguyen Gia;Zhuo Zou

  • Fault tolerant and scalable IoT-based architecture for health monitoring

    Tuan Nguyen Gia;Amir-Mohammad Rahmani;Tomi Westerlund;Pasi Liljeberg

  • Comparative study of LPWAN technologies on unlicensed bands for M2M communication in the IoT : Beyond Lora and Lorawan

    J. Peña Queralta;T. N. Gia;Z. Zou;Hannu Tenhunen

  • Edge AI in Smart Farming IoT: CNNs at the Edge and Fog Computing with LoRa

    T. Nguyen Gia;L. Qingqing;J. Pena Queralta;Z. Zou

  • UWB-based System for UAV Localization in GNSS-Denied Environments: Characterization and Dataset

    Jorge Pena Queralta;Carmen Martinez Almansa;Fabrizio Schiano;Dario Floreano

  • A Survey on LoRa for IoT: Integrating Edge Computing

    V. K. Sarker;J. Pena Queralta;T. N. Gia;H. Tenhunen

  • Customizing 6LoWPAN networks towards Internet-of-Things based ubiquitous healthcare systems

    Tuan Nguyen Gia;Nanda Kumar Thanigaivelan;Amir-Mohammad Rahmani;Tomi Westerlund

  • Communication-efficient distributed AI strategies for the IoT edge

    Unknown

  • Edge and Fog Computing Enabled AI for IoT-An Overview

    Zhuo Zou;Yi Jin;Paavo Nevalainen;Yuxiang Huan

  • UWB-Based Localization for Multi-UAV Systems and Collaborative Heterogeneous Multi-Robot Systems: a Survey

    Wang Shule;Carmen Martínez Almansa;Jorge Peña Queralta;Zhuo Zou

Frequent Co-Authors

Hannu Tenhunen
Hannu Tenhunen Royal Institute of Technology
Tuan Nguyen Gia
Tuan Nguyen Gia University of Turku
Juha Plosila
Juha Plosila University of Turku
Pasi Liljeberg
Pasi Liljeberg University of Turku
Zhuo Zou
Zhuo Zou Fudan University
Erkki Sutinen
Erkki Sutinen University of Turku
Tapio Salakoski
Tapio Salakoski University of Turku
Moncef Gabbouj
Moncef Gabbouj Tampere University
Li-Rong Zheng
Li-Rong Zheng Fudan University
Masoud Daneshtalab
Masoud Daneshtalab Mälardalen University

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