World's Best Scientists 2026 revealed!

Sanjay Rao 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 Sanjay Rao 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.

Sanjay Rao 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 Sanjay Rao 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

Sanjay Rao is affiliated with Purdue University West Lafayette in the United States and specializes in computer science, with a focused body of work encompassing various subfields and topics.

The scientist's main field of study is Computer Science, with a total of 21 publications. Within this area, key subfields include Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Sociology and Political Science, and Signal Processing. Their research covers topics such as Software-Defined Networks and 5G, Image and Video Quality Assessment, Advanced Optical Network Technologies, Peer-to-Peer Network Technologies, Network Traffic and Congestion Control, Distributed Systems and Fault Tolerance, and Optimization and Search Problems.

Several recent papers illustrate the scope of their research. Notable works include:

  • "Lancet" (2020) published in ACM SIGMETRICS Performance Evaluation Review
  • "Xatu: Richer Neural Network Based Prediction for Video Streaming" (2021) in Proceedings of the ACM on Measurement and Analysis of Computing Systems
  • "Xatu" (2022) appearing in ACM SIGMETRICS Performance Evaluation Review
  • "Establishing Trust for Using Natural Language for Intent-Based Networking" (2025) in IEEE Transactions on Network and Service Management
  • "FloMore: Meeting bandwidth requirements of flows" (2021) in arXiv (Cornell University)

Frequent co-authors collaborating with Sanjay Rao include:

  • Chuan Jiang
  • Chandan Bothra
  • Bruno Ribeiro
  • Mohit Tawarmalani
  • Yun Seong Nam

The scientist's work has been published in several venues, with multiple contributions to:

  • arXiv (Cornell University)
  • ACM SIGMETRICS Performance Evaluation Review
  • Proceedings of the ACM on Measurement and Analysis of Computing Systems
  • IEEE Transactions on Network and Service Management
  • Proceedings of the ACM on Programming Languages

Best Publications

  • A case for end system multicast (keynote address)

    Yang-hua Chu;Sanjay G. Rao;Hui Zhang

  • A case for end system multicast

    Yang-Hua Chu;Sanjay G. Rao;Hui Zhang

  • A case for end system multicast

    Yang-hua Chu;S.G. Rao;S. Seshan;Hui Zhang

  • Enabling conferencing applications on the internet using an overlay muilticast architecture

    Yang Chu;Sanjay Rao;Srinivasan Seshan;Hui Zhang

  • Opportunities and Challenges of Peer-to-Peer Internet Video Broadcast

    Jiangchuan Liu;S.G. Rao;Bo Li;Hui Zhang

  • YouTube everywhere: impact of device and infrastructure synergies on user experience

    Alessandro Finamore;Marco Mellia;Maurizio M. Munafò;Ruben Torres

  • Cloudward bound: planning for beneficial migration of enterprise applications to the cloud

    Mohammad Hajjat;Xin Sun;Yu-Wei Eric Sung;David Maltz

  • Oboe: auto-tuning video ABR algorithms to network conditions

    Zahaib Akhtar;Yun Seong Nam;Ramesh Govindan;Sanjay Rao

  • Early experience with an internet broadcast system based on overlay multicast

    Yang-hua Chu;Aditya Ganjam;T. S. Eugene Ng;Sanjay G. Rao

  • Dissecting Video Server Selection Strategies in the YouTube CDN

    Ruben Torres;Alessandro Finamore;Jin Ryong Kim;Marco Mellia

  • Mercury: a scalable publish-subscribe system for internet games

    Ashwin R. Bharambe;Sanjay Rao;Srinivasan Seshan

  • Towards systematic design of enterprise networks

    Yu-Wei Eric Sung;Xin Sun;Sanjay G. Rao;Geoffrey G. Xie

  • Measurement-based optimization techniques for bandwidth-demanding peer-to-peer systems

    T.S.E. Ng;Y.-H. Chu;S.G. Rao;K. Sripanidkulchai

  • Configuration management at massive scale: system design and experience

    W. Enck;T. Moyer;P. McDaniel;S. Sen

  • Considering Priority in Overlay Multicast Protocols Under Heterogeneous Environments

    M. Bishop;S. Rao;K. Sripanidkulchai

  • Enabling Contribution Awareness in an Overlay Broadcasting System

    Y.-W.E. Sung;M.A. Bishop;S.G. Rao

  • Towards systematic design of enterprise networks

    Yu-Wei Eric Sung;Sanjay G. Rao;Geoffrey G. Xie;David A. Maltz

  • The impact of heterogeneous bandwidth constraints on DHT-Based multicast protocols

    Ashwin R. Bharambe;Sanjay G. Rao;Venkata N. Padmanabhan;Srinivasan Seshan

  • PARCEL: Proxy Assisted BRowsing in Cellular networks for Energy and Latency reduction

    Ashiwan Sivakumar;Shankaranarayanan Puzhavakath Narayanan;Vijay Gopalakrishnan;Seungjoon Lee

  • Configuration management at massive scale: system design and experience

    William Enck;Patrick McDaniel;Subhabrata Sen;Panagiotis Sebos

Frequent Co-Authors

Hui Zhang
Hui Zhang National University of Singapore
T. N. Vijaykumar
T. N. Vijaykumar Purdue University West Lafayette
Subhabrata Sen
Subhabrata Sen AT&T (United States)
Cristina Nita-Rotaru
Cristina Nita-Rotaru Northeastern University
David A. Maltz
David A. Maltz Microsoft (United States)
Marco Mellia
Marco Mellia Polytechnic University of Turin
Srinivasan Seshan
Srinivasan Seshan Carnegie Mellon University
Jennifer Rexford
Jennifer Rexford Princeton University
Ramesh Govindan
Ramesh Govindan University of Southern California
Ethan Katz-Bassett
Ethan Katz-Bassett Columbia University

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