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D-Index & Metrics

Computer Science

D-Index
32
Citations
8655
World Ranking
12884
National Ranking
5197

Ashutosh Garg 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 Ashutosh Garg 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: 96 publications — 7th percentile

7% of scientists in this discipline score the same or lower.

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

Ashutosh Garg 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 Ashutosh Garg 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Ashutosh Garg is affiliated with Google in the United States and conducts research primarily within the fields of Computer Science and Decision Sciences. Their work spans several subfields, including Artificial Intelligence, Management Science and Operations Research, Health Informatics, Biomedical Engineering, and Computer Vision and Pattern Recognition.

The primary topics addressed in Ashutosh Garg's publications focus on artificial intelligence applications in healthcare and education, medical imaging and analysis, face recognition and analysis, AI in service interactions, intelligent tutoring systems and adaptive learning, human-automation interaction and safety, as well as stock market forecasting methods.

Recent scholarly contributions by Ashutosh Garg include:

  • Humane Speech Synthesis through Zero-Shot Emotion and Disfluency Generation (2024), published in arXiv (Cornell University)
  • Stock Price Prediction using Data Analysis and Machine Learning (2025), published in Innovative Research Thoughts

Their research collaborations frequently involve coauthors such as Mihir Godbole, Jinsil Hwaryoung Seo, Rohan Chaudhury, Lauren Thai, and Nicole Kroll.

Publications by Ashutosh Garg have appeared chiefly in venues including arXiv (Cornell University) and Innovative Research Thoughts. The scholarly work consistently integrates multidisciplinary approaches, combining insights from computing and decision sciences to address diverse challenges.

Best Publications

  • Google news personalization: scalable online collaborative filtering

    Abhinandan S. Das;Mayur Datar;Ashutosh Garg;Shyam Rajaram

  • Facial expression recognition from video sequences: temporal and static modeling

    Ira Cohen;Nicu Sebe;Ashutosh Garg;Lawrence S. Chen

  • Recent advances in the automatic recognition of audiovisual speech

    G. Potamianos;C. Neti;G. Gravier;A. Garg

  • Layered representations for human activity recognition

    Nuria Oliver;Eric Horvitz;Ashutosh Garg

  • Layered representations for learning and inferring office activity from multiple sensory channels

    Nuria Oliver;Ashutosh Garg;Eric Horvitz

  • Annotation framework for video

    Mayur Datar;Ashutosh Garg;Vibhu Mittal

  • Emotion Recognition from Facial Expressions using Multilevel HMM

    Ira Cohen;Ashutosh Garg;Thomas S. Huang

  • Emotion recognition using a Cauchy Naive Bayes classifier

    N. Sebe;M.S. Lew;I. Cohen;A. Garg

  • Machine Learning in Computer Vision

    N. Sebe;I. Cohen;A. Garg;T.S. Huang

  • Layered models for context awareness

    Nuria M. Oliver;Eric J. Horvitz;Ashutosh Garg

  • Scalable user clustering based on set similarity

    Mayur Datar;Ashutosh Garg

  • Facial expression recognition from video sequences

    I. Cohen;N. Sebe;A. Garg;M.S. Lew

  • Automatically generating ads and ad-serving index

    Mayur Datar;Ashutosh Garg

  • Method to hierarchical pooling of opinions from multiple sources

    Ashutosh Garg;Jayram S. Thathachar;Shivakumar Vaithyanathan;Huaiyu Zhu

  • Digital image archiving and retrieval using a mobile device system

    Krishnendu Chaudhury;Ashutosh Garg;Prasenjit Phukan;Arvind Saraf

  • Understanding Probabilistic Classifiers

    Ashutosh Garg;Dan Roth

  • Multimodal speaker detection using error feedback dynamic Bayesian networks

    V. Pavlovic;A. Garg;J.M. Rehg;T.S. Huang

  • A Bayesian framework for combining gene predictions.

    Vladimir Pavlović;Ashutosh Garg;Simon Kasif

  • Boosted learning in dynamic Bayesian networks for multimodal speaker detection

    A. Garg;V. Pavlovic;J.M. Rehg

  • Audio-visual speaker detection using dynamic Bayesian networks

    A. Garg;V. Pavlovic;J.M. Rehg

Frequent Co-Authors

Mayur Datar
Mayur Datar Microsoft (United States)
Thomas S. Huang
Thomas S. Huang University of Illinois at Urbana-Champaign
Ira Cohen
Ira Cohen Hewlett-Packard (United States)
Nuria Oliver
Nuria Oliver European Laboratory for Learning and Intelligent Systems
Dan Roth
Dan Roth University of Pennsylvania
Vladimir Pavlovic
Vladimir Pavlovic Rutgers, The State University of New Jersey
Eric Horvitz
Eric Horvitz Microsoft (United States)
Shivakumar Vaithyanathan
Shivakumar Vaithyanathan IBM (United States)
Xiang Sean Zhou
Xiang Sean Zhou Siemens (Germany)
Nicu Sebe
Nicu Sebe University of Trento

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