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Engineering and Technology
USA
2025

D-Index & Metrics

Computer Science

D-Index
77
Citations
34890
World Ranking
1237
National Ranking
655

Sharad Malik 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 Malik 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: 394 publications — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Sharad Malik 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 Malik 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: 77 D-Index — 91st percentile

91% 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

  • 2025 - Research.com Engineering and Technology in United States Leader Award
  • 2014 - ACM Fellow For contributions to efficient and capable SAT solvers, and accurate embedded software models.

Overview

Sharad Malik is affiliated with Princeton University in the United States and has contributed extensively to the field of computer science. Their research spans across several specialized areas including hardware and architecture, computational theory and mathematics, artificial intelligence, electrical and electronic engineering, and software.

The main topics of Sharad Malik's work include formal methods in verification, embedded systems design techniques, security and verification in computing, radiation effects in electronics, parallel computing and optimization techniques, physical unclonable functions (PUFs) and hardware security, and software testing and debugging techniques.

Sharad Malik has a significant number of publications distributed among various well-known venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • ACM Transactions on Design Automation of Electronic Systems
  • Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design
  • 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD)
  • 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE)

Recent papers authored or co-authored by Sharad Malik feature research on architecture-level abstractions, simulation models, and optimization of convolutional neural networks. Selected papers include:

  • Generating Architecture-Level Abstractions from RTL Designs for Processors and Accelerators Part I: Determining Architectural State Variables, 2021, 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD)
  • Automatic Generation of Architecture-Level Models from RTL Designs for Processors and Accelerators, 2022, 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE)
  • Generalizing Tandem Simulation: Connecting High-level and RTL Simulation Models, 2022, 2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC)
  • CNNFlow: Memory-driven Data Flow Optimization for Convolutional Neural Networks, 2022, ACM Transactions on Design Automation of Electronic Systems
  • Application-level Validation of Accelerator Designs Using a Formal Software/Hardware Interface, 2023, ACM Transactions on Design Automation of Electronic Systems

The scientist has collaborated frequently with researchers including Aarti Gupta, Yue Xing, Hongce Zhang, Bo-Yuan Huang, and Yi Li.

Sharad Malik received recognition through the ACM Fellow award in 2014 for contributions to efficient and capable SAT solvers and accurate embedded software models.

Best Publications

  • Chaff: engineering an efficient SAT solver

    Matthew W. Moskewicz;Conor F. Madigan;Ying Zhao;Lintao Zhang

  • Particle-flow reconstruction and global event description with the CMS detector

    A. M. Sirunyan;A. Tumasyan;W. Adam;E. Asilar

  • Power analysis of embedded software: a first step towards software power minimization

    Vivek Tiwari;Sharad Malik;Andrew Wolfe

  • Power analysis of embedded software: a first step towards software power minimization

    V. Tiwari;S. Malik;A. Wolfe

  • Performance analysis of embedded software using implicit path enumeration

    Y.-T.S. Li;S. Malik

  • Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV

    A. M. Sirunyan;A. Tumasyan;W. Adam;F. Ambrogi

  • Orion: a power-performance simulator for interconnection networks

    Hang-Sheng Wang;Xinping Zhu;Li-Shiuan Peh;Sharad Malik

  • Instruction level power analysis and optimization of software

    V. Tiwari;S. Malik;A. Wolfe;M.T.-C. Lee

  • Determination of jet energy calibration and transverse momentum resolution in CMS

    S. Chatrchyan;V. Khachatryan;A. M. Sirunyan;A. Tumasyan

  • Search for massive resonances decaying into pairs of boosted bosons in semi-leptonic final states at s = 8 TeV

    V. Khachatryan;A. M. Sirunyan;A. Tumasyan;W. Adam

  • Evaluating the security of logic encryption algorithms

    Pramod Subramanyan;Sayak Ray;Sharad Malik

  • Instruction level power analysis and optimization of software

    Vivek Tiwari;Sharad Malik;Andrew Wolfe;Mike Tien-Chien Lee

  • Performance analysis of embedded software using implicit path enumeration

    Yau-Tsun Steven Li;Sharad Malik

  • Logic verification using binary decision diagrams in a logic synthesis environment

    S. Malik;A.R. Wang;R.K. Brayton;A. Sangiovanni-Vincentelli

  • Performance Analysis of Embedded Software Using Implicit Path Enumeration

    Yau-Tsun Steven Li;Sharad Malik

  • Addressing the system-on-a-chip interconnect woes through communication-based design

    M. Sgroi;M. Sheets;A. Mihal;K. Keutzer

  • Power-driven design of router microarchitectures in on-chip networks

    Hangsheng Wang;Li-Shiuan Peh;Sharad Malik

  • The quest for efficient Boolean Satisfiability solvers

    Lintao Zhang;Sharad Malik

  • Conflict-Driven clause learning SAT solvers

    Joao Marques-Silva;Ines Lynce;Sharad Malik

  • The Quest for Efficient Boolean Satisfiability Solvers

    Lintao Zhang;Sharad Malik

  • A Survey of Optimization Techniques Targeting Low Power VLSI Circuits

    Srinivas Devadas;Sharad Malik

  • Performance estimation of embedded software with instruction cache modeling

    Yau-Tsun Steven Li;Sharad Malik;Andrew Wolfe

  • Algorithms for discrete function manipulation

    A. Srinivasan;T. Ham;S. Malik;R.K. Brayton

  • Guarded evaluation: pushing power management to logic synthesis/design

    V. Tiwari;S. Malik;P. Ashar

  • Validating SAT Solvers Using an Independent Resolution-Based Checker: Practical Implementations and Other Applications

    Lintao Zhang;Sharad Malik

  • Power analysis and minimization techniques for embedded DSP software

    Mike Tien-Chien Lee;V. Tiwari;S. Malik;M. Fujita

  • Measurement of the Underlying Event Activity at the LHC with $s= 7$ TeV and Comparison with $s = 0.9$ TeV

    S. Chatrchyan;V. Khachatryan;A. M. Sirunyan;A. Tumasyan

  • Cha : Engineering an e cient SAT solver

    Matthew W. Moskewicz;Conor F. Madigan;Ying Zhao;Lintao Zhang

Frequent Co-Authors

Aarti Gupta
Aarti Gupta Princeton University
Margaret Martonosi
Margaret Martonosi Princeton University
Kurt Keutzer
Kurt Keutzer University of California, Berkeley
Lintao Zhang
Lintao Zhang Microsoft (United States)
Robert K. Brayton
Robert K. Brayton University of California, Berkeley
David I. August
David I. August Princeton University
Alberto Sangiovanni-Vincentelli
Alberto Sangiovanni-Vincentelli University of California, Berkeley
Pranav Ashar
Pranav Ashar NEC (United States)
Li-Shiuan Peh
Li-Shiuan Peh National University of Singapore

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