World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
9149
World Ranking
6192
National Ranking
2777

Sharad Singhal 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 Sharad Singhal 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: 158 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Sharad Singhal 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 Sharad Singhal 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: 48 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Overview

Sharad Singhal is affiliated with Hewlett-Packard in the United States and has contributed to the field of computer science with a focus on multiple subfields including computer networks and communications, hardware and architecture, and information systems.

Their research spans a variety of topics primarily centered around parallel computing and optimization techniques, advanced data storage technologies, and cloud computing and resource management. Other topics of work include distributed and parallel computing systems, evolutionary algorithms and applications, advanced memory and neural computing, and single-cell and spatial transcriptomics.

Singhal's publication record includes research papers presented across several scientific venues. Frequent venues of publication include:

  • arXiv (Cornell University)
  • Proceedings of the VLDB Endowment
  • Nature Biotechnology
  • Concurrency and Computation Practice and Experience
  • Information and Learning Sciences

Recent papers authored or co-authored by Sharad Singhal include:

  • "OpenFAM: Programming disaggregated memory," 2023, Concurrency and Computation Practice and Experience
  • "Dual-Space Augmented Intrinsic-LoRA for Wind Turbine Segmentation," 2024, arXiv (Cornell University)
  • "DINOMO," 2022, Proceedings of the VLDB Endowment
  • "A novel computational architecture for large-scale genomics," 2020, Nature Biotechnology
  • "MODC: Resilience for disaggregated memory architectures using task-based programming," 2021, arXiv (Cornell University)

Collaborative work has been a significant aspect of Singhal's research activities. Frequent co-authors include Clarete Riana Crasta, Kimberly Keeton, Matthias Becker, Hartmut Schultze, and Thomas Ulas.

Best Publications

  • Adaptive control of virtualized resources in utility computing environments

    Pradeep Padala;Kang G. Shin;Xiaoyun Zhu;Mustafa Uysal

  • Automated control of multiple virtualized resources

    Pradeep Padala;Kai-Yuan Hou;Kang G. Shin;Xiaoyun Zhu

  • Training Multilayer Perceptrons with the Extended Kalman Algorithm

    Sharad Singhal;Lance Wu

  • Performance Evaluation of Virtualization Technologies for Server Consolidation

    Pradeep Padala;Xiaoyun Zhu;Zhikui Wang;Sharad Singhal

  • SLA management in federated environments

    P. Bhoj;S. Singhal;S. Chutani

  • Outsourcing Business to Cloud Computing Services: Opportunities and Challenges

    Hamid R Motahari-Nezhad;Bryan Stephenson;Sharad Singhal

  • Utility-driven workload management using nested control design

    Xiaoyun Zhu;Zhikui Wang;S. Singhal

  • A system and method for automatically screening and directing incoming calls

    David J. Pepper;Sharad Singhal;E. Scott Soper

  • 1000 Islands: Integrated Capacity and Workload Management for the Next Generation Data Center

    Xiaoyun Zhu;Don Young;B.J. Watson;Zhikui Wang

  • Training feed-forward networks with the extended Kalman algorithm

    S. Singhal;L. Wu

  • Improving performance of multi-pulse LPC coders at low bit rates

    S. Singhal;B. Atal

  • Windowed motion compensation

    Hiroshi Watanabe;Sharad Singhal

  • Method and apparatus for processing quality of service measurement data to assess a degree of compliance of internet services with service level agreements

    Thomas G. Bartz;Stephen Janes;Sharad Singhal;Preeti Bhoj

  • Utilization and SLO-Based control for dynamic sizing of resource partitions

    Zhikui Wang;Xiaoyun Zhu;Sharad Singhal

  • Adaptive entitlement control of resource containers on shared servers

    X. Liu;X. Zhu;S. Singhal;M. Arlitt

  • 1000 islands: an integrated approach to resource management for virtualized data centers

    Xiaoyun Zhu;Donald Young;Brian J. Watson;Zhikui Wang

  • Method to map an inventory management system to a configuration management system

    Anna M. Zara;Sharad Singhal

  • What does control theory bring to systems research

    Xiaoyun Zhu;Mustafa Uysal;Zhikui Wang;Sharad Singhal

  • Amplitude optimization and pitch prediction in multipulse coders

    S. Singhal;B.S. Atal

  • Generating a configuration of a system that satisfies constraints contained in models

    James B. Saxe;Akhil Sahai;Sharad Singhal;Lyle H. Ramshaw

Frequent Co-Authors

Zhikui Wang
Zhikui Wang Hewlett-Packard (United States)
Jerome Rolia
Jerome Rolia Hewlett-Packard (United States)
Joachim L. Schultze
Joachim L. Schultze University of Bonn
Kang G. Shin
Kang G. Shin University of Michigan–Ann Arbor
Matthew A. Hopcroft
Matthew A. Hopcroft University of California, Berkeley
Alan H. Karp
Alan H. Karp Hewlett-Packard (United States)
Arif Merchant
Arif Merchant Google (United States)
Akhil Kumar
Akhil Kumar Pennsylvania State University
Xue Liu
Xue Liu McGill University

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