World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
6771
World Ranking
9730
National Ranking
27

Ilangko Balasingham 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 Ilangko Balasingham 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: 324 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Ilangko Balasingham 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 Ilangko Balasingham 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Ilangko Balasingham is affiliated with the Norwegian University of Science and Technology in Norway. Their research focuses primarily on the intersection of engineering and medicine, producing a substantial body of work in both domains. Their main fields of study include Engineering with 75 publications and Medicine with 42. Within these areas, Balasingham's research covers significant subfields such as Biomedical Engineering, Molecular Biology, Electrical and Electronic Engineering, Cardiology and Cardiovascular Medicine, and Cellular and Molecular Neuroscience.

Their scientific contributions address a variety of topics, notably Wireless Body Area Networks, Molecular Communication and Nanonetworks, Neuroscience and Neural Engineering, Energy Harvesting in Wireless Networks, Extracellular Vesicles in Disease, Advanced Biosensing and Bioanalysis Techniques, and Radiomics and Machine Learning in Medical Imaging.

The following recent papers illustrate the scope and focus of their work:

  • Brain-on-a-chip: Recent advances in design and techniques for microfluidic models of the brain in health and disease (2022, Biomaterials)
  • Implants with Sensing Capabilities (2022, Chemical Reviews)
  • Toward real-time polyp detection using fully CNNs for 2D Gaussian shapes prediction (2020, Medical Image Analysis)
  • Biomedical applications of multifunctional magnetoelectric nanoparticles (2022, Materials Chemistry Frontiers)
  • Visualizing Extracellular Vesicles and Their Function in 3D Tumor Microenvironment Models (2021, International Journal of Molecular Sciences)

Balasingham has collaborated frequently with several researchers, including Mladen Veletić, Jacob Bergsland, Mohammad Zoofaghari, Hemin Ali Qadir, and Ali Khaleghi. These collaborations have led to numerous joint publications, reflecting a multidisciplinary approach to advancing their fields of expertise.

The scientist's work is frequently published in venues such as IEEE Access, IEEE Transactions on Molecular Biological and Multi-Scale Communications, IEEE Transactions on NanoBioscience, arXiv (Cornell University), and IEEE Transactions on Communications. These journals have featured multiple publications from Balasingham, indicating ongoing contributions to engineering and biomedical research communities.

Best Publications

  • Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge

    Jorge Bernal;Nima Tajkbaksh;Francisco Javier Sanchez;Bogdan J. Matuszewski

  • On the Opportunities and Challenges in Microwave Medical Sensing and Imaging

    Rohit Chandra;Huiyuan Zhou;Ilangko Balasingham;Ram M. Narayanan

  • Automatic Colon Polyp Detection Using Region Based Deep CNN and Post Learning Approaches

    Younghak Shin;Hemin Ali Qadir;Lars Aabakken;Jacob Bergsland

  • 5G: The Convergence of Wireless Communications

    Raúl Chávez-Santiago;Michał Szydełko;Adrian Kliks;Fotis Foukalas

  • Propagation models for IEEE 802.15.6 standardization of implant communication in body area networks

    R. Chavez-Santiago;K. Sayrafian-Pour;A. Khaleghi;K. Takizawa

  • Risk-based adaptive security for smart IoT in eHealth

    Habtamu Abie;Ilangko Balasingham

  • Wireless Sensor Networks - An Introduction

    Qinghua Wang;Ilangko Balasingham

  • Machine Learning for Smart Building Applications: Review and Taxonomy

    Djamel Djenouri;Roufaida Laidi;Youcef Djenouri;Ilangko Balasingham

  • Polyp Detection and Segmentation using Mask R-CNN: Does a Deeper Feature Extractor CNN Always Perform Better?

    Hemin Ali Qadir;Younghak Shin;Johannes Solhusvik;Jacob Bergsland

  • Traffic-Differentiation-Based Modular QoS Localized Routing for Wireless Sensor Networks

    Djamel Djenouri;Ilangko Balasingham

  • Dynamic Spectrum Allocation in Wireless Cognitive Sensor Networks: Improving Fairness and Energy Efficiency

    Sang-Seon Byun;I. Balasingham;Xuedong Liang

  • On using bargaining game for Optimal Placement of SDN controllers

    Adlen Ksentini;Miloud Bagaa;Tarik Taleb;Ilangko Balasingham

  • Comparison of hand-craft feature based SVM and CNN based deep learning framework for automatic polyp classification

    Younghak Shin;Ilangko Balasingham

  • Experimental Evaluation of Implant UWB-IR Transmission With Living Animal for Body Area Networks

    Daisuke Anzai;Kenta Katsu;Raul Chavez-Santiago;Qiong Wang

  • Improving Automatic Polyp Detection Using CNN by Exploiting Temporal Dependency in Colonoscopy Video

    Hemin Ali Qadir;Ilangko Balasingham;Johannes Solhusvik;Jacob Bergsland

  • Ultra-wideband statistical propagation channel model for implant sensors in the human chest

    A. Khaleghi;R. Chavez-Santiago;I. Balasingham

  • New QoS and geographical routing in wireless biomedical sensor networks

    Djamel Djenouri;Ilangko Balasingham

  • A reinforcement learning based routing protocol with QoS support for biomedical sensor networks

    Xuedong Liang;I. Balasingham;Sang-Seon Byun

  • In-Body to On-Body Ultrawideband Propagation Model Derived From Measurements in Living Animals

    Pal Anders Floor;Raul Chavez-Santiago;Sverre Brovoll;Oyvind Aardal

  • Cognitive radio for medical body area networks using ultra wideband

    Raul Chavez-Santiago;Keith E. Nolan;Oliver Holland;Luca De Nardis

  • Abnormal Colon Polyp Image Synthesis Using Conditional Adversarial Networks for Improved Detection Performance

    Younghak Shin;Hemin Ali Qadir;Ilangko Balasingham

  • Ultra Wideband Wireless Body Area Network for Medical Applications

    I Balasingham;R Chavez-Santiago;J Bergsland;T A Ramstad

Frequent Co-Authors

Djamel Djenouri
Djamel Djenouri University of the West of England
Victor C. M. Leung
Victor C. M. Leung Shenzhen University
Miloud Bagaa
Miloud Bagaa Université du Québec à Trois-Rivières
Mikael Skoglund
Mikael Skoglund Royal Institute of Technology
Ram M. Narayanan
Ram M. Narayanan Pennsylvania State University
Min Chen
Min Chen South China University of Technology
Tarik Taleb
Tarik Taleb Ruhr University Bochum
Nuno Borges Carvalho
Nuno Borges Carvalho University of Aveiro
Mohamed-Slim Alouini
Mohamed-Slim Alouini King Abdullah University of Science and Technology
Seppo Vainio
Seppo Vainio University of Oulu

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