World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
8931
World Ranking
12880
National Ranking
5195

Shivaram Venkataraman 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 Shivaram Venkataraman 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: 114 publications — 13th percentile

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

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

Shivaram Venkataraman 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 Shivaram Venkataraman 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

Shivaram Venkataraman is affiliated with the University of Wisconsin-Madison in the United States. Their research primarily focuses on the domain of computer science with an emphasis on artificial intelligence, computer vision and pattern recognition, and computer networks and communications.

The scientist's work spans a variety of subfields, including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications
  • Information Systems
  • Electrical and Electronic Engineering

Key research topics covered in their publications include:

  • Cloud Computing and Resource Management
  • Stochastic Gradient Optimization Techniques
  • Advanced Neural Network Applications
  • Advanced Graph Neural Networks
  • Advanced Data Storage Technologies
  • Data Stream Mining Techniques
  • Machine Learning and Data Classification

Shivaram Venkataraman has published extensively, with frequent appearances in several publication venues such as:

  • arXiv (Cornell University)
  • Proceedings of the VLDB Endowment
  • IEEE Journal on Selected Areas in Information Theory
  • SAE technical papers on CD-ROM/SAE technical paper series
  • Journal of Power Sources

Some recent notable papers include:

  • LlamaTune, 2022, Proceedings of the VLDB Endowment
  • Learning-Based Coded Computation, 2020, IEEE Journal on Selected Areas in Information Theory
  • On the Utility of Gradient Compression in Distributed Training Systems, 2021, arXiv (Cornell University)
  • AutoFreeze: Automatically Freezing Model Blocks to Accelerate Fine-tuning, 2021, arXiv (Cornell University)
  • Accordion: Adaptive Gradient Communication via Critical Learning Regime Identification, 2020, arXiv (Cornell University)

Frequently collaborating authors include:

  • Jason Mohoney
  • Theodoros Rekatsinas
  • Aditya Akella
  • Konstantinos Kanellis
  • Roger Waleffe

Best Publications

  • Apache Spark: a unified engine for big data processing

    Matei Zaharia;Reynold S. Xin;Patrick Wendell;Tathagata Das

  • MLlib: machine learning in apache spark

    Xiangrui Meng;Joseph Bradley;Burak Yavuz;Evan Sparks

  • Occupy the cloud: distributed computing for the 99%

    Eric Jonas;Qifan Pu;Shivaram Venkataraman;Ion Stoica

  • Consistent and durable data structures for non-volatile byte-addressable memory

    Shivaram Venkataraman;Niraj Tolia;Parthasarathy Ranganathan;Roy H. Campbell

  • Ernest: efficient performance prediction for large-scale advanced analytics

    Shivaram Venkataraman;Zongheng Yang;Michael Franklin;Benjamin Recht

  • Cherrypick: adaptively unearthing the best cloud configurations for big data analytics

    Omid Alipourfard;Hongqiang Harry Liu;Jianshu Chen;Shivaram Venkataraman

  • MLlib: Machine Learning in Apache Spark

    Xiangrui Meng;Joseph Bradley;Burak Yavuz;Evan Sparks

  • Probabilistically bounded staleness for practical partial quorums

    Peter Bailis;Shivaram Venkataraman;Michael J. Franklin;Joseph M. Hellerstein

  • Drizzle: Fast and Adaptable Stream Processing at Scale

    Shivaram Venkataraman;Aurojit Panda;Kay Ousterhout;Michael Armbrust

  • Analysis of Large-Scale Multi-Tenant {GPU} Clusters for {DNN} Training Workloads

    Myeongjae Jeon;Shivaram Venkataraman;Amar Phanishayee;Junjie Qian

  • Focus: querying large video datasets with low latency and low cost

    Kevin Hsieh;Ganesh Ananthanarayanan;Peter Bodik;Shivaram Venkataraman

  • KeystoneML: Optimizing Pipelines for Large-Scale Advanced Analytics

    Evan R. Sparks;Shivaram Venkataraman;Tomer Kaftan;Michael J. Franklin

  • Shuffling, Fast and Slow: Scalable Analytics on Serverless Infrastructure

    Qifan Pu;Shivaram Venkataraman;Ion Stoica

  • Presto: distributed machine learning and graph processing with sparse matrices

    Shivaram Venkataraman;Erik Bodzsar;Indrajit Roy;Alvin AuYoung

  • Cake: enabling high-level SLOs on shared storage systems

    Andrew Wang;Shivaram Venkataraman;Sara Alspaugh;Randy Katz

  • The power of choice in data-aware cluster scheduling

    Shivaram Venkataraman;Aurojit Panda;Ganesh Ananthanarayanan;Michael J. Franklin

  • Matrix Computations and Optimization in Apache Spark

    Reza Bosagh Zadeh;Xiangrui Meng;Alexander Ulanov;Burak Yavuz

  • The case for tiny tasks in compute clusters

    Kay Ousterhout;Aurojit Panda;Joshua Rosen;Shivaram Venkataraman

  • SparkR: Scaling R Programs with Spark

    Shivaram Venkataraman;Zongheng Yang;Davies Liu;Eric Liang

  • numpywren: serverless linear algebra

    Vaishaal Shankar;Karl Krauth;Qifan Pu;Eric Jonas

  • Serverless linear algebra

    Vaishaal Shankar;Karl Krauth;Kailas Vodrahalli;Qifan Pu

  • Quantifying eventual consistency with PBS

    Peter Bailis;Shivaram Venkataraman;Michael J. Franklin;Joseph M. Hellerstein

  • Blink: Fast and Generic Collectives for Distributed ML

    Guanhua Wang;Shivaram Venkataraman;Amar Phanishayee;Jorgen Thelin

  • Matrix Computations and Optimization in Apache Spark

    Reza Bosagh Zadeh;Xiangrui Meng;Aaron Staple;Burak Yavuz

Frequent Co-Authors

Ion Stoica
Ion Stoica University of California, Berkeley
Michael J. Franklin
Michael J. Franklin University of Chicago
Benjamin Recht
Benjamin Recht University of California, Berkeley
Aditya Akella
Aditya Akella The University of Texas at Austin
Roy H. Campbell
Roy H. Campbell University of Illinois at Urbana-Champaign
Matei Zaharia
Matei Zaharia University of California, Berkeley
Peter Bailis
Peter Bailis Stanford University
Joseph M. Hellerstein
Joseph M. Hellerstein University of California, Berkeley
Aurojit Panda
Aurojit Panda New York University
Scott Shenker
Scott Shenker University of California, Berkeley

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