World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
8136
World Ranking
7573
National Ranking
3287

Murali Annavaram 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 Murali Annavaram 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: 180 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

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

Murali Annavaram 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 Murali Annavaram 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: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2009 - ACM Senior Member

Overview

Murali Annavaram is affiliated with the University of Southern California in the United States and has contributed extensively to the field of computer science, particularly focusing on topics related to federated learning, privacy-preserving technologies, and advanced machine learning techniques.

The scientist's research spans multiple main fields and specialized subfields, including:

  • Computer Science
  • Artificial Intelligence
  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Information Systems
  • Hardware and Architecture

The key topics covered in their work include:

  • Privacy-Preserving Technologies in Data
  • Stochastic Gradient Optimization Techniques
  • Cryptography and Data Security
  • Advanced Graph Neural Networks
  • Advanced Data Storage Technologies
  • Adversarial Robustness in Machine Learning
  • Ferroelectric and Negative Capacitance Devices

A selection of recent publications by Murali Annavaram highlights contributions on federated learning systems, graph neural networks, and related benchmarks. These papers include:

  • "FedML: A Research Library and Benchmark for Federated Machine Learning" (2020, arXiv - Cornell University)
  • "Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge" (2020, arXiv - Cornell University)
  • "FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks" (2021, arXiv - Cornell University)
  • "SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data" (2022, Proceedings of the AAAI Conference on Artificial Intelligence)
  • "Towards Non-I.I.D. and Invisible Data with FedNAS: Federated Deep Learning via Neural Architecture Search" (2020, arXiv - Cornell University)

Frequent coauthors associated with Murali Annavaram's research include:

  • Salman Avestimehr
  • Yongqin Wang
  • Hanieh Hashemi
  • Keshav Balasubramanian
  • Chaoyang He

The scientist has published predominantly in venues such as:

  • arXiv (Cornell University)
  • Proceedings on Privacy Enhancing Technologies
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Murali Annavaram has been recognized as an ACM Senior Member since 2009, reflecting their ongoing contributions to the academic and research community in computing and related disciplines.

Best Publications

  • Die Stacking (3D) Microarchitecture

    Bryan Black;Murali Annavaram;Ned Brekelbaum;John DeVale

  • A framework of energy efficient mobile sensing for automatic user state recognition

    Yi Wang;Jialiu Lin;Murali Annavaram;Quinn A. Jacobson

  • Virtual trip lines for distributed privacy-preserving traffic monitoring

    Baik Hoh;Marco Gruteser;Ryan Herring;Jeff Ban

  • FedML: A Research Library and Benchmark for Federated Machine Learning

    Chaoyang He;Songze Li;Jinhyun So;Mi Zhang

  • Mitigating Amdahl's Law through EPI Throttling

    Murali Annavaram;Ed Grochowski;John Shen

  • Data prefetching by dependence graph precomputation

    Murali Annavaram;Jignesh M. Patel;Edward S. Davidson

  • Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge

    Chaoyang He;Murali Annavaram;Salman Avestimehr

  • Method and apparatus for varying energy per instruction according to the amount of available parallelism

    Edward Grochowski;John Shen;Hong Wang;Doron Orenstein

  • Multimodal Physical Activity Recognition by Fusing Temporal and Cepstral Information

    Ming Li;Viktor Rozgić;Gautam Thatte;Sangwon Lee

  • Warped register file: A power efficient register file for GPGPUs

    M. Abdel-Majeed;M. Annavaram

  • KnightShift: Scaling the Energy Proportionality Wall through Server-Level Heterogeneity

    Daniel Wong;Murali Annavaram

  • Warped-compression: enabling power efficient GPUs through register compression

    Sangpil Lee;Keunsoo Kim;Gunjae Koo;Hyeran Jeon

  • Summarizer: trading communication with computing near storage

    Gunjae Koo;Kiran Kumar Matam;Te I;H. V. Krishna Giri Narra

  • Innovations in the Use of Interactive Technology to Support Weight Management

    D. Spruijt-Metz;C. K. F. Wen;G. O’Reilly;M. Li;M. Li

  • Warped-slicer: efficient intra-SM slicing through dynamic resource partitioning for GPU multiprogramming

    Qiumin Xu;Hyeran Jeon;Keunsoo Kim;Won Woo Ro

  • SlackSim: a platform for parallel simulations of CMPs on CMPs

    Jianwei Chen;Murali Annavaram;Michel Dubois

  • GPU register file virtualization

    Hyeran Jeon;Gokul Subramanian Ravi;Nam Sung Kim;Murali Annavaram

  • Enhancing Privacy and Accuracy in Probe Vehicle-Based Traffic Monitoring via Virtual Trip Lines

    B. Hoh;T. Iwuchukwu;Q. Jacobson;D. Work

  • Graph processing on GPUs: Where are the bottlenecks?

    Qiumin Xu;Hyeran Jeon;Murali Annavaram

  • KNOWME: a case study in wireless body area sensor network design

    U. Mitra;B. A. Emken;Sangwon Lee;Ming Li

  • A case for guarded power gating for multi-core processors

    Niti Madan;Alper Buyuktosunoglu;Pradip Bose;Murali Annavaram

Frequent Co-Authors

A. Salman Avestimehr
A. Salman Avestimehr University of Southern California
Nam Sung Kim
Nam Sung Kim University of Illinois at Urbana-Champaign
Urbashi Mitra
Urbashi Mitra University of Southern California
Donna Spruijt-Metz
Donna Spruijt-Metz University of Southern California
Bhaskar Krishnamachari
Bhaskar Krishnamachari University of Southern California
Shrikanth S. Narayanan
Shrikanth S. Narayanan University of Southern California
Per Stenström
Per Stenström Chalmers University of Technology
John Paul Shen
John Paul Shen Carnegie Mellon University
Hong Wang
Hong Wang Intel (United States)
Massoud Pedram
Massoud Pedram University of Southern California

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