World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
39
Citations
6877
World Ranking
4668
National Ranking
54

Computer Science

D-Index
44
Citations
7249
World Ranking
7627
National Ranking
81

A. N. Rajagopalan publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where A. N. Rajagopalan sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 196 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

A. N. Rajagopalan D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where A. N. Rajagopalan sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

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 111 D-Index or more.

Research.com Recognitions

  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)

Overview

A. N. Rajagopalan is affiliated with the Indian Institute of Technology Madras in India and has an extensive publication record in fields related to computer science and engineering. Their research primarily spans computer vision and pattern recognition, as well as media technology, with additional work intersecting atomic and molecular physics, cellular and molecular neuroscience, and ophthalmology.

The main topics of Rajagopalan's work include advanced image processing techniques, advanced vision and imaging, image processing techniques and applications, image and signal denoising methods, image enhancement techniques, generative adversarial networks and image synthesis, and optical measurement and interference techniques.

Frequent co-authors collaborating with Rajagopalan include Maitreya Suin, Kuldeep Purohit, Praveen Kandula, Radu Timofte, and Snehal Singh Tomar.

Rajagopalan's research has been published in a variety of venues, with multiple contributions to arXiv (Cornell University), the Proceedings of the AAAI Conference on Artificial Intelligence, IEEE Journal of Selected Topics in Signal Processing, the 2021 IEEE/CVF International Conference on Computer Vision (ICCV), and Lecture Notes in Computer Science.

  • An Efficient Framework for Dense Video Captioning, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • NTIRE 2021 Depth Guided Image Relighting Challenge, 2021, Infoscience (Ecole Polytechnique Fédérale de Lausanne)
  • AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results, 2020, Lecture Notes in Computer Science
  • Degradation Aware Approach to Image Restoration Using Knowledge Distillation, 2020, IEEE Journal of Selected Topics in Signal Processing
  • Fast Motion-Deblurring of IR Images, 2022, IEEE Signal Processing Letters

Awards recognitions include the status of Fellow of the Indian National Academy of Engineering (INAE).

Best Publications

  • Identification of humans using gait

    A. Kale;A. Sundaresan;A.N. Rajagopalan;N.P. Cuntoor

  • Depth From Defocus: A Real Aperture Imaging Approach

    Subhasis Chaudhuri;A. N. Rajagopalan;Alex Paul Pentland

  • Gait analysis for human identification

    A. Kale;N. Cuntoor;B. Yegnanarayana;A. N. Rajagopalan

  • Gait-based recognition of humans using continuous HMMs

    A. Kale;A.N. Rajagopalan;N. Cuntoor;V. Kruger

  • Spatially-Attentive Patch-Hierarchical Network for Adaptive Motion Deblurring

    Maitreya Suin;Kuldeep Purohit;A. N. Rajagopalan

  • Off-line signature verification using DTW

    A. Piyush Shanker;A. N. Rajagopalan

  • Super-Resolution of Face Images Using Kernel PCA-Based Prior

    Ayan Chakrabarti;A.N. Rajagopalan;Rama Chellappa

  • Depth estimation and image restoration using defocused stereo pairs

    A.N. Rajagopalan;S. Chaudhuri;Uma Mudenagudi

  • PIRM challenge on perceptual image enhancement on smartphones: Report

    Andrey Ignatov;Radu Timofte;Thang Van Vu;Tung Minh Luu

  • Superresolution of License Plates in Real Traffic Videos

    K.V. Suresh;G.M. Kumar;A.N. Rajagopalan

  • Finding faces in photographs

    A.N. Rajagopalan;K.S. Kumar;J. Karlekar;R. Manivasakan

  • Blur-Invariant Deep Learning for Blind-Deblurring

    T M Nimisha;Akash Kumar Singh;A N Rajagopalan

  • An MRF model-based approach to simultaneous recovery of depth and restoration from defocused images

    A.N. Rajagopalan;S. Chaudhuri

  • Human Face Detection in Cluttered Color Images Using Skin Color, Edge Information.

    K. Sandeep;A. N. Rajagopalan

  • Spatially-Adaptive Image Restoration using Distortion-Guided Networks.

    Kuldeep Purohit;Maitreya Suin;A. N. Rajagopalan;Vishnu Naresh Boddeti

  • AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results

    Andreas Lugmayr;Nam Hyung Joon;Yu Seung Won;Guisik Kim

  • Region-Adaptive Dense Network for Efficient Motion Deblurring.

    Kuldeep Purohit;A. N. Rajagopalan

  • Higher order statistical learning for vehicle detection in images

    A.N. Rajagopalan;P. Burlina;R. Chellappa

  • Face Recognition Across Non-Uniform Motion Blur, Illumination, and Pose

    Abhijith Punnappurath;Ambasamudram Narayanan Rajagopalan;Sima Taheri;Rama Chellappa

  • A variational approach to recovering depth from defocused images

    A.N. Rajagopalan;S. Chaudhuri

  • AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results

    Kai Zhang;Martin Danelljan;Yawei Li;Radu Timofte

Frequent Co-Authors

Subhasis Chaudhuri
Subhasis Chaudhuri Indian Institute of Technology Bombay
Rama Chellappa
Rama Chellappa Johns Hopkins University
Radu Timofte
Radu Timofte University of Wurzburg
Guna Seetharaman
Guna Seetharaman United States Naval Research Laboratory
Jian Cheng
Jian Cheng Chinese Academy of Sciences
Gerhard Rigoll
Gerhard Rigoll Technical University of Munich
Chao Dong
Chao Dong Shenzhen Institutes of Advanced Technology
Yanyun Qu
Yanyun Qu Xiamen University
Luc Van Gool
Luc Van Gool Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
Sabine Süsstrunk
Sabine Süsstrunk École Polytechnique Fédérale de Lausanne

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