World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
64
Citations
12759
World Ranking
2653
National Ranking
21

Mayank Vatsa 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 Mayank Vatsa 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: 367 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Mayank Vatsa 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 Mayank Vatsa 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: 64 D-Index — 82nd percentile

82% 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

  • 2022 - IEEE Fellow For contributions to secure biometric recognition.
  • 2017 - ACM Senior Member

Overview

Mayank Vatsa is affiliated with the Indian Institute of Technology Jodhpur in India, specializing in the field of computer science. Their research spans multiple subfields including computer vision and pattern recognition, artificial intelligence, signal processing, radiology, nuclear medicine and imaging, and safety research.

The primary research topics explored by Mayank Vatsa include:

  • Face recognition and analysis
  • Biometric identification and security
  • Adversarial robustness in machine learning
  • Face and expression recognition
  • Anomaly detection techniques and applications
  • Digital media forensic detection
  • Generative adversarial networks and image synthesis

Mayank Vatsa has contributed to over 200 publications, with significant frequencies in venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Biometrics Behavior and Identity Science
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)
  • Pattern Recognition

Frequent co-authors collaborating with Mayank Vatsa include:

  • Richa Singh
  • Akshay Agarwal
  • Nalini Ratha
  • Surbhi Mittal
  • Puspita Majumdar

Recent publications by Mayank Vatsa demonstrate a focus on biometric security, medical imaging, robustness of machine learning models, and digital forensics:

  • Image Transformation based Defense Against Adversarial Perturbation on Deep Learning Models, 2020, IEEE Transactions on Dependable and Secure Computing
  • AI-based radiodiagnosis using chest X-rays: A review, 2023, Frontiers in Big Data
  • On Matching Finger-Selfies Using Deep Scattering Networks, 2020, IEEE Transactions on Biometrics Behavior and Identity Science
  • On AI Approaches for Promoting Maternal and Neonatal Health in Low Resource Settings: A Review, 2022, Frontiers in Public Health
  • Motion Magnified 3-D Residual-in-Dense Network for DeepFake Detection, 2022, IEEE Transactions on Biometrics Behavior and Identity Science

Mayank Vatsa received recognition including:

  • IEEE Fellow in 2022 for contributions to secure biometric recognition
  • ACM Senior Member since 2017

Best Publications

  • A Robust Skin Color Based Face Detection Algorithm

    Sanjay Kr. Singh;D. S. Chauhan;Mayank Vatsa;Richa Singh

  • Improving Iris Recognition Performance Using Segmentation, Quality Enhancement, Match Score Fusion, and Indexing

    M. Vatsa;R. Singh;A. Noore

  • Computationally Efficient Face Spoofing Detection with Motion Magnification

    Samarth Bharadwaj;Tejas I. Dhamecha;Mayank Vatsa;Richa Singh

  • Plastic Surgery: A New Dimension to Face Recognition

    Richa Singh;Mayank Vatsa;Himanshu S Bhatt;Samarth Bharadwaj

  • Integrated multilevel image fusion and match score fusion of visible and infrared face images for robust face recognition

    Richa Singh;Mayank Vatsa;Afzel Noore

  • Periocular biometrics: When iris recognition fails

    Samarth Bharadwaj;Himanshu S. Bhatt;Mayank Vatsa;Richa Singh

  • Deep dictionary learning

    Snigdha Tariyal;Angshul Majumdar;Richa Singh;Mayank Vatsa

  • Unraveling the Effect of Textured Contact Lenses on Iris Recognition

    Daksha Yadav;Naman Kohli;James S. Doyle;Richa Singh

  • Memetically Optimized MCWLD for Matching Sketches With Digital Face Images

    H. S. Bhatt;S. Bharadwaj;R. Singh;M. Vatsa

  • Unravelling Robustness of Deep Learning Based Face Recognition Against Adversarial Attacks

    Gaurav Goswami;Nalini K. Ratha;Akshay Agarwal;Richa Singh

  • Detecting Silicone Mask-Based Presentation Attack via Deep Dictionary Learning

    Ishan Manjani;Snigdha Tariyal;Mayank Vatsa;Richa Singh

  • LivDet iris 2017 — Iris liveness detection competition 2017

    David Yambay;Benedict Becker;Naman Kohli;Daksha Yadav

  • Biometric quality: a review of fingerprint, iris, and face

    Samarth Bharadwaj;Mayank Vatsa;Richa Singh

  • Recognizing Surgically Altered Face Images Using Multiobjective Evolutionary Algorithm

    H. S. Bhatt;S. Bharadwaj;R. Singh;M. Vatsa

  • Detecting Facial Retouching Using Supervised Deep Learning

    Aparna Bharati;Richa Singh;Mayank Vatsa;Kevin W. Bowyer

  • Recognizing disguised faces: human and machine evaluation.

    Tejas Indulal Dhamecha;Richa Singh;Mayank Vatsa;Ajay Kumar

  • Face recognition with disguise and single gallery images

    Richa Singh;Mayank Vatsa;Afzel Noore

  • On RGB-D face recognition using Kinect

    Gaurav Goswami;Samarth Bharadwaj;Mayank Vatsa;Richa Singh

  • A Mosaicing Scheme for Pose-Invariant Face Recognition

    R. Singh;M. Vatsa;A. Ross;A. Noore

  • Face anti-spoofing using Haralick features

    Akshay Agarwal;Richa Singh;Mayank Vatsa

  • Ocular biometrics

    Ishan Nigam;Mayank Vatsa;Richa Singh

  • Recognizing surgically altered face images

    Himanshu S Bhatt;Samarth Bharadwaj;Richa Singh;Mayank Vatsa

Frequent Co-Authors

Richa Singh
Richa Singh Indian Institute of Technology Jodhpur
Afzel Noore
Afzel Noore Texas A&M University – Kingsville
Angshul Majumdar
Angshul Majumdar Indraprastha Institute of Information Technology Delhi
Arun Ross
Arun Ross Michigan State University
Nalini K. Ratha
Nalini K. Ratha University at Buffalo, State University of New York
Kevin W. Bowyer
Kevin W. Bowyer University of Notre Dame
Anil K. Jain
Anil K. Jain Michigan State University
Massimo Tistarelli
Massimo Tistarelli University of Sassari
Ajay Kumar
Ajay Kumar Hong Kong Polytechnic University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science can open doors to diverse online degree options and dynamic career routes. For those seeking advanced skills in emerging fields, consider pursuing a data master online degree. This pathway equips students with expertise in analytics, big data, and machine learning, which are in high demand across many industries.

Interested in technology-driven management roles? Programs like the best online construction management degree incorporate project planning with digital tools, ideal for tech-savvy professionals looking to enter or advance in the built environment sector.

Cost is a primary concern for many learners. Those prioritizing affordability can explore the cheapest mba programs online, which provide flexible business education tailored for future managers and leaders.

For rapid career progression, 1 year masters programs offer accelerated pathways, allowing students to quickly gain credentials and re-enter the workforce with enhanced qualifications.

Each of these online degree options complements a foundation in Computer Science and can support a variety of career pathways, from data analytics and business to management and leadership roles.

Best Scientists Citing Mayank Vatsa

Trending Scientists

Recently Published Articles