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Computer Science

D-Index
37
Citations
4716
World Ranking
10908
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36

Kiran B. Raja 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 Kiran B. Raja 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: 194 publications — 44th percentile

44% of scientists in this discipline score the same or lower.

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

Kiran B. Raja 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 Kiran B. Raja 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Kiran B. Raja is affiliated with the Norwegian University of Science and Technology in Norway. Their research primarily spans the domain of computer science, with a focus on computer vision and pattern recognition, signal processing, and artificial intelligence.

The scientist's work encompasses a range of topics including face recognition and analysis, biometric identification and security, advanced image processing techniques, generative adversarial networks and image synthesis, face and expression recognition, facial nerve paralysis treatment and research, and user authentication and security systems.

Kiran B. Raja has published extensively, including notable papers such as:

  • Face Morphing Attack Generation and Detection: A Comprehensive Survey (2021) in IEEE Transactions on Technology and Society
  • MIPGAN-Generating Strong and High Quality Morphing Attacks Using Identity Prior Driven GAN (2021) in IEEE Transactions on Biometrics Behavior and Identity Science
  • Morphing Attack Detection -- Database, Evaluation Platform and Benchmarking (2020) in arXiv (Cornell University)
  • Iris and periocular biometrics for head mounted displays: Segmentation, recognition, and synthetic data generation (2020) in Image and Vision Computing
  • A Comprehensive Review of DeepFake Detection Using Advanced Machine Learning and Fusion Methods (2023) in Electronics

The venues where Kiran B. Raja frequently publishes include:

  • arXiv (Cornell University)
  • IEEE Access
  • IEEE Transactions on Biometrics Behavior and Identity Science
  • IET Biometrics
  • IEEE Transactions on Technology and Society

Frequent coauthors working alongside Kiran B. Raja are:

  • Raghavendra Ramachandra
  • Christoph Busch
  • Naser Damer
  • Sushma Venkatesh
  • Kishor Upla

Best Publications

  • Smartphone based visible iris recognition using deep sparse filtering

    Kiran B. Raja;R. Raghavendra;Vinay Krishna Vemuri;Christoph Busch

  • Transferable Deep-CNN Features for Detecting Digital and Print-Scanned Morphed Face Images

    R. Raghavendra;Kiran B. Raja;Sushma Venkatesh;Christoph Busch

  • Presentation Attack Detection for Face Recognition Using Light Field Camera

    R. Raghavendra;Kiran B. Raja;Christoph Busch

  • Detecting morphed face images

    R. Raghavendra;Kiran B. Raja;Christoph Busch

  • Fake Face Detection Methods: Can They Be Generalized?

    Ali Khodabakhsh;Raghavendra Ramachandra;Kiran Raja;Pankaj Wasnik

  • On the vulnerability of face recognition systems towards morphed face attacks

    Ulrich Scherhag;R. Raghavendra;K. B. Raja;M. Gomez-Barrero

  • Face Morphing Attack Generation and Detection: A Comprehensive Survey

    Sushma Venkatesh;Raghavendra Ramachandra;Kiran Raja;Christoph Busch

  • MIPGAN—Generating Strong and High Quality Morphing Attacks Using Identity Prior Driven GAN

    Haoyu Zhang;Sushma Venkatesh;Raghavendra Ramachandra;Kiran Raja

  • Face presentation attack detection across spectrum using time-frequency descriptors of maximal response in Laplacian scale-space

    R. Raghavendra;Kiran B. Raja;Sebastien Marcel;Christoph Busch

  • Multi-modal authentication system for smartphones using face, iris and periocular

    Kiran B. Raja;R. Raghavendra;Martin Stokkenes;Christoph Busch

  • Can GAN Generated Morphs Threaten Face Recognition Systems Equally as Landmark Based Morphs? - Vulnerability and Detection

    Sushma Venkatesh;Haoyu Zhang;Raghavendra Ramachandra;Kiran Raja

  • Morphing Attack Detection-Database, Evaluation Platform, and Benchmarking

    Kiran Raja;Matteo Ferrara;Annalisa Franco;Luuk Spreeuwers

  • NTIRE 2021 NonHomogeneous Dehazing Challenge Report

    Codruta O. Ancuti;Cosmin Ancuti;Florin-Alexandru Vasluianu;Radu Timofte

  • A low-cost multimodal biometric sensor to capture finger vein and fingerprint

    Ramachandra Raghavendra;Kiran B. Raja;Jayachander Surbiryala;Christoph Busch

  • Video Presentation Attack Detection in Visible Spectrum Iris Recognition Using Magnified Phase Information

    K. B. Raja;R. Raghavendra;C. Busch

  • ContlensNet: Robust Iris Contact Lens Detection Using Deep Convolutional Neural Networks

    R. Raghavendra;Kiran B. Raja;Christoph Busch

  • Combining Iris and Periocular Recognition Using Light Field Camera

    R. Raghavendra;Kiran B. Raja;Bian Yang;Christoph Busch

  • Cross-Eyed - Cross-Spectral Iris/Periocular Recognition Database and Competition

    Ana Sequeira;Lulu Chen;Peter Wild;James Ferryman

  • Binarized statistical features for improved iris and periocular recognition in visible spectrum

    Kiran B. Raja;R. Raghavendra;Christoph Busch

  • Towards making Morphing Attack Detection robust using hybrid Scale-Space Colour Texture Features

    Raghavendra Ramachandra;Sushma Venkatesh;Kiran Raja;Christoph Busch

  • NTIRE 2021 Learning the Super-Resolution Space Challenge

    Andreas Lugmayr;Martin Danelljan;Radu Timofte;Christoph Busch

Frequent Co-Authors

Christoph Busch
Christoph Busch Norwegian University of Science and Technology
Raghavendra Ramachandra
Raghavendra Ramachandra Norwegian University of Science and Technology
Arjan Kuijper
Arjan Kuijper Fraunhofer Society
Christian Rathgeb
Christian Rathgeb Darmstadt University of Applied Sciences
Raymond N.J. Veldhuis
Raymond N.J. Veldhuis University of Twente
Fernando Alonso-Fernandez
Fernando Alonso-Fernandez Halmstad University
Radu Timofte
Radu Timofte University of Wurzburg
Josef Bigun
Josef Bigun Halmstad University
Sébastien Marcel
Sébastien Marcel Idiap Research Institute
Davide Maltoni
Davide Maltoni University of Bologna

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