World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
5690
World Ranking
12078
National Ranking
137

Prem Kalra 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 Prem Kalra 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 232 publications — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Prem Kalra 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 Prem Kalra sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 34 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

Prem Kalra is affiliated with the Indian Institute of Technology Delhi in India. Their research contributions span multiple domains including computer science, engineering, and medicine, with a specialized focus on computer vision, biomedical engineering, and signal processing. Their work intersects with various applied fields such as biometric identification, forensic fingerprint detection, surgical simulation, and anatomy-related medical technology.

Their publication record features papers in notable venues, including:

  • World Neurosurgery
  • arXiv (Cornell University)
  • Multimedia Tools and Applications
  • IEEE Sensors Letters
  • SSRN Electronic Journal

Among recent publications are:

  • "A Review of Physical Simulators for Neuroendoscopy Skills Training" (2020, World Neurosurgery)
  • "Sensor-invariant Fingerprint ROI Segmentation Using Recurrent Adversarial Learning" (2021, arXiv)
  • "On restoration of degraded fingerprints" (2022, Multimedia Tools and Applications)
  • "Cross-Domain Consistent Fingerprint Denoising" (2022, IEEE Sensors Letters)
  • "Depth analysis of kinect v2 sensor in different mediums" (2021, Multimedia Tools and Applications)

The scientist's frequent co-authors include:

  • Indu Joshi
  • Antitza Dantcheva
  • Sumantra Dutta Roy
  • Ashish Suri
  • Rohan Raju Dhanakshirur

Prem Kalra's main fields of study capture a blend of theoretical and applied research angles:

  • Computer Science
  • Engineering
  • Medicine

Within these areas, subfields of focus are:

  • Computer Vision and Pattern Recognition
  • Biomedical Engineering
  • Signal Processing
  • Surgery
  • Safety Research

The topics of research explored in Kalra's work encompass:

  • Biometric Identification and Security
  • Forensic Fingerprint Detection Methods
  • Surgical Simulation and Training
  • Anatomy and Medical Technology
  • Face and Expression Recognition
  • Face recognition and analysis
  • Gait Recognition and Analysis

Best Publications

  • Simulation of Facial Muscle Actions Based on Rational Free Form Deformations

    Prem Kalra;Angelo Mangili;Nadia Magnenat Thalmann;Daniel Thalmann

  • Load frequency control: a generalised neural network approach

    D.K Chaturvedi;P.S Satsangi;P.K Kalra

  • Real-time animation of realistic virtual humans

    P. Kalra;N. Magnenat-Thalmann;L. Moccozet;G. Sannier

  • A computational skin model: fold and wrinkle formation

    N. Magnenat-Thalmann;P. Kalra;J. Luc Leveque;R. Bazin

  • Time series prediction with single multiplicative neuron model

    R. N. Yadav;P. K. Kalra;J. John

  • Simulation of Skin Aging and Wrinkles with Cosmetics Insight

    Laurence Boissieux;Gergo Kiss;Nadia Magnenat Thalmann;Prem Kalra

  • SMILE: A Multilayered Facial Animation System

    Prem Kalra;Angelo Mangili;Nadia Magnenat-Thalmann;Daniel Thalmann

  • Modelling of abrasive flow machining process: a neural network approach

    R.K. Jain;V.K. Jain;P.K. Kalra

  • The HUMANOID Environment for Interactive Animation of Multiple Deformable Human Characters

    R. Boulic;T. Capin;Z. Huang;P. Kalra

  • Simulating wrinkles and skin aging

    Yin Wu;Prem Kalra;Laurent Moccozet;Nadia Magnenat-Thalmann

  • Space-Time Super-Resolution Using Graph-Cut Optimization

    Uma Mudenagudi;Subhashis Banerjee;Prem Kumar Kalra

  • MODEL BASED FACE RECONSTRUCTION FOR ANIMATION

    Won-Sook Lee;Prem Kalra;Nadia Magnenat Thalmann

  • Two new techniques for aircraft parameter estimation using neural networks

    S. C Raisinghani;A. K Ghosh;P. K Kalra

  • Face to virtual face

    N.M. Thalmann;P. Kalra;M. Escher

  • Sculpting with the `ball and mouse' metaphor

    A. LeBlanc;P. Kalra;N. Magnenat Thalmann;D. Thalmann

  • Simulation of static and dynamic wrinkles of skin

    Yin Wu;P. Kalra;N.M. Thalmann

  • Perception and remembrance of the environment during real-time navigation of a mobile robot

    K. Madhava Krishna;Prem Kumar Kalra

  • Computer Vision, Graphics and Image Processing

    Prem K. Kalra;Shmuel Peleg

  • A Framework for Activity Recognition and Detection of Unusual Activities.

    Dhruv Mahajan;Nipun Kwatra;Sumit Jain;Prem Kalra

  • Improved generalized neuron model for short-term load forecasting

    D. K. Chaturvedi;M. Mohan;R. K. Singh;P. K. Kalra

  • Audio Signature-Based Condition Monitoring of Internal Combustion Engine Using FFT and Correlation Approach

    S K Yadav;K Tyagi;B Shah;P K Kalra

  • Modeling of vascular expressions in facial animation

    P. Kalra;N. Magnenat-Thalmann

Frequent Co-Authors

Nadia Magnenat-Thalmann
Nadia Magnenat-Thalmann University of Geneva
Daniel Thalmann
Daniel Thalmann École Polytechnique Fédérale de Lausanne
Om P. Malik
Om P. Malik University of Calgary
Suresh Chandra Srivastava
Suresh Chandra Srivastava Indian Institute of Technology Kanpur
Shmuel Peleg
Shmuel Peleg Hebrew University of Jerusalem
Ronan Boulic
Ronan Boulic École Polytechnique Fédérale de Lausanne
Ashish Kapoor
Ashish Kapoor Microsoft (United States)
Sri Niwas Singh
Sri Niwas Singh Atal Bihari Vajpayee Indian Institute of Information Technology and Management
Pabitra Mitra
Pabitra Mitra Indian Institute of Technology Kharagpur
Richa Singh
Richa Singh Indian Institute of Technology Jodhpur

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