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Shankar Krishnan

Shankar Krishnan

Shankar Krishnan 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 Shankar Krishnan 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+

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

Shankar Krishnan 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 Shankar Krishnan 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+

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

Overview

Shankar Krishnan is affiliated with Google in the United States and has a body of research primarily situated within computer science. Their work encompasses various subfields including computer vision and pattern recognition, artificial intelligence, biomedical engineering, information systems, and surgery.

The scientist has contributed to topics such as stochastic gradient optimization techniques, context-aware activity recognition systems, non-invasive vital sign monitoring, healthcare technology and patient monitoring, neural networks and applications, face and expression recognition, and domain adaptation and few-shot learning.

Krishnan's recent publications include:

  • "A Unifying View on Implicit Bias in Training Linear Neural Networks," 2020, published in arXiv (Cornell University)
  • "Weak and Strong Gradient Directions: Explaining Memorization, Generalization, and Hardness of Examples at Scale," 2020, published in arXiv (Cornell University)
  • "Fall Detection Systems at Night," 2023, published in Computer
  • "Design, Development and Validation of a Novel Mechanical Pain Inducer and the EMG Signal Analysis for the Induced Mechanical Pain," 2024, published in Arabian Journal for Science and Engineering
  • "ON-LINE BUYING BEHAVIOR OF CONSUMERS WITH REFERENCE TO KRISHNAGIRI DISTRICTS," 2024, published in ShodhKosh Journal of Visual and Performing Arts

The primary venues for their publications are:

  • arXiv (Cornell University)
  • Computer
  • Arabian Journal for Science and Engineering
  • ShodhKosh Journal of Visual and Performing Arts
  • Behavioral Sciences

Frequent collaborators include:

  • Y. Sunanda
  • Y. Pavan Kumar Reddy
  • Ramanujam Elagovan
  • Thinagaran Perumal
  • Chulhee Yun

Best Publications

  • Video stream quality impacts viewer behavior: inferring causality using quasi-experimental designs

    S. Shunmuga Krishnan;Ramesh K. Sitaraman

  • Surface Reconstruction based on Lower Dimensional Localized Delaunay Triangulation

    M. Gopi;Shankar Krishnan;Cláudio T. Silva

  • An Information-Theoretic Approach to Detecting Changes in Multi-Dimensional Data Streams

    Tamraparni Dasu;Shankar Krishnan;Suresh Venkatasubramanian;Ke Yi

  • An efficient surface intersection algorithm based on lower-dimensional formulation

    Shankar Krishnan;Dinesh Manocha

  • Spherical shell: a higher order bounding volume for fast proximity queries

    Shankar Krishnan;Amol Pattekar;Ming C. Lin;Dinesh Manocha

  • An Investigation into Neural Net Optimization via Hessian Eigenvalue Density

    Behrooz Ghorbani;Shankar Krishnan;Ying Xiao

  • Global registration of multiple 3D point sets via optimization-on-a-manifold

    Shankar Krishnan;Pei Yean Lee;John B. Moore;Suresh Venkatasubramanian

  • Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks

    Saurabh Singh;Shankar Krishnan

  • Topology preserving surface extraction using adaptive subdivision

    Gokul Varadhan;Shankar Krishnan;Tvn Sriram;Dinesh Manocha

  • Compressing large boolean matrices using reordering techniques

    David Johnson;Shankar Krishnan;Jatin Chhugani;Subodh Kumar

  • ESOLID - A system for exact boundary evaluation

    John Keyser;Tim Culver;Mark Foskey;Shankar Krishnan

  • Rapid and Accurate Contact Determination between Spline Models using ShellTrees

    Shankar Krishnan;M. Gopi;Ming C. Lin;Dinesh Manocha

  • A fast and efficient projection-based approach for surface reconstruction

    M. Gopi;S. Krishnan

  • Feature-sensitive subdivision and isosurface reconstruction

    G. Varadhan;S. Krishnan;Y.J. Kim;D. Manocha

  • MAPC: a library for efficient and exact manipulation of algebraic points and curves

    John Keyser;Tim Culver;Dinesh Manocha;Shankar Krishnan

  • Streaming Geometric Optimization Using Graphics Hardware

    Pankaj K. Agarwal;Shankar Krishnan;Nabil H. Mustafa;Suresh Venkatasubramanian

  • Visualization research with large displays [analysis of communication networks and services]

    B. Wei;C. Silva;E. Koutsofios;S. Krishnan

  • Efficient and exact manipulation of algebraic points and curves

    John Keyser;Tim Culver;Dinesh Manocha;Shankar Krishnan

  • Unsupervised clustering of multidimensional distributions using earth mover distance

    David Applegate;Tamraparni Dasu;Shankar Krishnan;Simon Urbanek

  • Understanding the effectiveness of video ads: a measurement study

    S. Shunmuga Krishnan;Ramesh K. Sitaraman

Frequent Co-Authors

Dinesh Manocha
Dinesh Manocha University of Maryland, College Park
John B. Moore
John B. Moore Australian National University
Ramesh K. Sitaraman
Ramesh K. Sitaraman University of Massachusetts Amherst
Chao Tian
Chao Tian Texas A&M University
Pankaj K. Agarwal
Pankaj K. Agarwal Duke University
Suhas Diggavi
Suhas Diggavi University of California, Los Angeles
Ming C. Lin
Ming C. Lin University of Maryland, College Park
David S. Johnson
David S. Johnson AT&T (United States)
Cláudio T. Silva
Cláudio T. Silva New York University

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