World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
7658
World Ranking
12424
National Ranking
5039

Padmanabhan Pillai 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 Padmanabhan Pillai 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: 91 publications — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Padmanabhan Pillai 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 Padmanabhan Pillai 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: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Padmanabhan Pillai is affiliated with Intel in the United States and conducts research primarily in computer science. Their work spans multiple subfields including computer vision and pattern recognition, computer networks and communications, cognitive neuroscience, artificial intelligence, and social psychology.

The scientist's research topics focus extensively on IoT and edge/fog computing, context-aware activity recognition systems, visual attention and saliency detection, image and video quality assessment, neural and behavioral psychology studies, ergonomics and musculoskeletal disorders, as well as tactile and sensory interactions.

Notable recent papers authored or co-authored by Padmanabhan Pillai include:

  • OpenRTiST: End-to-End Benchmarking for Edge Computing (2020, IEEE Pervasive Computing)
  • Impact of delayed response on wearable cognitive assistance (2021, PLoS ONE)
  • Edge-Based Live Learning for Robot Survival (2024, IEEE Transactions on Emerging Topics in Computing)
  • Ajalon: Simplifying the authoring of wearable cognitive assistants (2021, Software Practice and Experience)
  • Table of Contents (2020, IEEE Pervasive Computing)

The researcher has frequently collaborated with a number of co-authors, including Mahadev Satyanarayanan, Roger Iyengar, Junjue Wang, Shilpa George, and Haithem Turki.

Padmanabhan Pillai's publications are commonly found in venues such as IEEE Pervasive Computing, PLoS ONE, IEEE Transactions on Emerging Topics in Computing, Software Practice and Experience, and IEEE Micro.

Best Publications

  • Real-time dynamic voltage scaling for low-power embedded operating systems

    Padmanabhan Pillai;Kang G. Shin

  • Towards wearable cognitive assistance

    Kiryong Ha;Zhuo Chen;Wenlu Hu;Wolfgang Richter

  • Edge Analytics in the Internet of Things

    Mahadev Satyanarayanan;Pieter Simoens;Yu Xiao;Padmanabhan Pillai

  • Odessa: enabling interactive perception applications on mobile devices

    Moo-Ryong Ra;Anmol Sheth;Lily Mummert;Padmanabhan Pillai

  • Design and implementation of power-aware virtual memory

    Hai Huang;Padmanabhan Pillai;Kang G. Shin

  • An empirical study of latency in an emerging class of edge computing applications for wearable cognitive assistance

    Zhuo Chen;Wenlu Hu;Junjue Wang;Siyan Zhao

  • Scalable crowd-sourcing of video from mobile devices

    Pieter Simoens;Yu Xiao;Padmanabhan Pillai;Zhuo Chen

  • Cloudlets: at the leading edge of mobile-cloud convergence

    Mahadev Satyanarayanan;Zhuo Chen;Kiryong Ha;Wenlu Hu

  • Just-in-time provisioning for cyber foraging

    Kiryong Ha;Padmanabhan Pillai;Wolfgang Richter;Yoshihisa Abe

  • Bandwidth-Efficient Live Video Analytics for Drones Via Edge Computing

    Junjue Wang;Ziqiang Feng;Zhuo Chen;Shilpa George

  • Quantifying the Impact of Edge Computing on Mobile Applications

    Wenlu Hu;Ying Gao;Kiryong Ha;Junjue Wang

  • The Impact of Mobile Multimedia Applications on Data Center Consolidation

    Kiryong Ha;P. Pillai;G. Lewis;S. Simanta

  • IrisNet: an internet-scale architecture for multimedia sensors

    Jason Campbell;Phillip B. Gibbons;Suman Nath;Padmanabhan Pillai

  • Lowering the barriers to large-scale mobile crowdsensing

    Yu Xiao;Pieter Simoens;Padmanabhan Pillai;Kiryong Ha

  • A Scalable and Privacy-Aware IoT Service for Live Video Analytics

    Junjue Wang;Brandon Amos;Anupam Das;Padmanabhan Pillai

  • Meld: A declarative approach to programming ensembles

    M.P. Ashley-Rollman;S.C. Goldstein;P. Lee;T.C. Mowry

  • You can teach elephants to dance: agile VM handoff for edge computing

    Kiryong Ha;Yoshihisa Abe;Thomas Eiszler;Zhuo Chen

  • A modular robotic system using magnetic force effectors

    B.T. Kirby;B. Aksak;J.D. Campbell;J.F. Hoburg

  • Scalable shape sculpting via hole motion: motion planning in lattice-constrained modular robots

    M. De Rosa;S. Goldstein;P. Lee;J. Campbell

  • Mainstream: dynamic stem-sharing for multi-tenant video processing

    Angela H. Jiang;Daniel L.-K. Wong;Christopher Canel;Lilia Tang

  • Accelerating Deep Learning by Focusing on the Biggest Losers.

    Angela H. Jiang;Daniel L. K. Wong;Giulio Zhou;David G. Andersen

Frequent Co-Authors

Mahadev Satyanarayanan
Mahadev Satyanarayanan Carnegie Mellon University
Seth Copen Goldstein
Seth Copen Goldstein Carnegie Mellon University
Zhuo Chen
Zhuo Chen Duke University
Kang G. Shin
Kang G. Shin University of Michigan–Ann Arbor
Peter Lee
Peter Lee Carnegie Mellon University
Rahul Sukthankar
Rahul Sukthankar Google (United States)
Todd C. Mowry
Todd C. Mowry Carnegie Mellon University
Roberta L. Klatzky
Roberta L. Klatzky Carnegie Mellon University
Michael Kozuch
Michael Kozuch Intel (United States)
Siddhartha S. Srinivasa
Siddhartha S. Srinivasa University of Washington

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