World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
65
Citations
19241
World Ranking
2435
National Ranking
1220

Sanjiv Kumar 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 Sanjiv Kumar 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: 174 publications — 36th percentile

36% of scientists in this discipline score the same or lower.

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

Sanjiv Kumar 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 Sanjiv Kumar 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: 65 D-Index — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Overview

Sanjiv Kumar is a researcher affiliated with Google in the United States, contributing primarily to the fields of computer science and medicine. Their research portfolio encompasses a wide range of topics, focusing on artificial intelligence, computer vision and pattern recognition, as well as medical subfields such as surgery, general health professions, and pulmonary and respiratory medicine.

The main areas of study for Sanjiv Kumar include:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Surgery
  • General Health Professions
  • Pulmonary and Respiratory Medicine

Their work covers various core topics in machine learning and data science:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Machine Learning and Data Classification
  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques

Sanjiv Kumar has co-authored numerous scientific papers with frequent collaborators including Ankit Singh Rawat, Sashank J. Reddi, Aditya Krishna Menon, Srinadh Bhojanapalli, and Manzil Zaheer.

Their recent publications highlight a focus on federated learning, transformer models, and large-scale retrieval techniques. Selected recent works include:

  • Adaptive Federated Optimization, 2020, arXiv (Cornell University)
  • Pre-training Tasks for Embedding-based Large-scale Retrieval, 2020, arXiv (Cornell University)
  • Modifying Memories in Transformer Models, 2020, arXiv (Cornell University)
  • Federated Learning with Only Positive Labels, 2020, arXiv (Cornell University)
  • $O(n)$ Connections are Expressive Enough: Universal Approximability of Sparse Transformers, 2020, arXiv (Cornell University)

The majority of Sanjiv Kumar's publications have appeared in arXiv (Cornell University), with additional contributions found in venues such as Cureus, the Journal of Drug Research in Ayurvedic Sciences, Journal of Bodywork and Movement Therapies, and the Journal of Clinical and Diagnostic Research.

Best Publications

  • On the Convergence of Adam and Beyond

    Sashank J. Reddi;Satyen Kale;Sanjiv Kumar

  • Hashing with Graphs

    Wei Liu;Jun Wang;Sanjiv Kumar;Shih-fu Chang

  • Semi-Supervised Hashing for Large-Scale Search

    Jun Wang;S. Kumar;Shih-Fu Chang

  • Semi-supervised hashing for scalable image retrieval

    Jun Wang;Sanjiv Kumar;Shih-Fu Chang

  • Discriminative random fields: a discriminative framework for contextual interaction in classification

    Sanjiv Kumar;Hebert

  • A New Baseline for Image Annotation

    Ameesh Makadia;Vladimir Pavlovic;Sanjiv Kumar

  • Face tracking and recognition with visual constraints in real-world videos

    Minyoung Kim;S. Kumar;V. Pavlovic;H. Rowley

  • Learning to Hash for Indexing Big Data—A Survey

    Jun Wang;Wei Liu;Sanjiv Kumar;Shih-Fu Chang

  • Discrete Graph Hashing

    Wei Liu;Cun Mu;Sanjiv Kumar;Shih-Fu Chang

  • Discriminative Random Fields

    Sanjiv Kumar;Martial Hebert

  • Large Batch Optimization for Deep Learning: Training BERT in 76 minutes

    Yang You;Jing Li;Sashank Reddi;Jonathan Hseu

  • Sequential Projection Learning for Hashing with Compact Codes

    Jun Wang;Sanjiv Kumar;Shih-fu Chang

  • Sampling methods for the Nyström method

    Sanjiv Kumar;Mehryar Mohri;Ameet Talwalkar

  • A hierarchical field framework for unified context-based classification

    S. Kumar;M. Hebert

  • An Exploration of Parameter Redundancy in Deep Networks with Circulant Projections

    Yu Cheng;Yu Cheng;Felix X. Yu;Rogerio S. Feris;Sanjiv Kumar

  • cpSGD: communication-efficient and differentially-private distributed SGD

    Naman Agarwal;Ananda Theertha Suresh;Felix Yu;Sanjiv Kumar

  • Long-tail learning via logit adjustment

    Aditya Krishna Menon;Sadeep Jayasumana;Ankit Singh Rawat;Himanshu Jain

  • Discriminative Fields for Modeling Spatial Dependencies in Natural Images

    Sanjiv Kumar;Martial Hebert

  • Baselines for Image Annotation

    Ameesh Makadia;Vladimir Pavlovic;Sanjiv Kumar

  • Large-scale manifold learning

    A. Talwalkar;S. Kumar;H. Rowley

  • Adaptive Methods for Nonconvex Optimization

    Manzil Zaheer;Sashank J. Reddi;Devendra Singh Sachan;Satyen Kale

  • Efficient Natural Language Response Suggestion for Smart Reply

    Matthew L. Henderson;Rami Al-Rfou;Brian Strope;Yun-Hsuan Sung

  • Adaptive Federated Optimization

    Sashank Reddi;Zachary Charles;Manzil Zaheer;Zachary Garrett

  • Accelerating Large-Scale Inference with Anisotropic Vector Quantization

    Ruiqi Guo;Quan Geng;David Simcha;Felix Chern

Frequent Co-Authors

Felix X. Yu
Felix X. Yu Google (United States)
Sashank J. Reddi
Sashank J. Reddi Google (United States)
Henry Allan Rowley
Henry Allan Rowley Google (United States)
Shih-Fu Chang
Shih-Fu Chang Columbia University
Cho-Jui Hsieh
Cho-Jui Hsieh University of California, Los Angeles
Satyen Kale
Satyen Kale Google (United States)
Martial Hebert
Martial Hebert Carnegie Mellon University
Tony Jebara
Tony Jebara Columbia University
Ameet Talwalkar
Ameet Talwalkar Carnegie Mellon University

External Links

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 online education opens up flexible opportunities for students interested in Computer Science and related fields. For those starting their academic journey or seeking quicker entry into tech roles, an associates degree online is a valuable option. Associate degrees can be completed in two years or less, providing fundamental knowledge to kickstart your career or continue toward a bachelor's.

Budget is a key concern, but students can reduce costs by enrolling in the cheapest online colleges. Affordable programs empower students to pursue their degree without excessive student loan debt.

Academic history shouldn’t be a barrier to your ambitions. Those with less competitive transcripts can still find quality options through the best colleges for low gpa. These schools offer strong support and pathways for career advancement.

If your interests extend beyond computer science, tech-savvy professionals are in high demand across fields like environmental science. Discover how diverse your prospects can be by learning more about what can you get with an environmental science degree.

Best Scientists Citing Sanjiv Kumar

Trending Scientists