World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
7289
World Ranking
10122
National Ranking
108

Sparsh Mittal 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 Sparsh Mittal 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: 117 publications — 14th percentile

14% of scientists in this discipline score the same or lower.

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

Sparsh Mittal 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 Sparsh Mittal 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: 38 D-Index — 30th percentile

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

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

Overview

Sparsh Mittal is affiliated with the Indian Institute of Technology Roorkee in India. Their research spans multiple fields with a strong focus on Computer Science and Engineering, reflected in a substantial body of work.

The scientist has contributed extensively to the following main fields of study:

  • Computer Science
  • Engineering

Within these fields, their research covers several subfields, including:

  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Hardware and Architecture
  • Computer Networks and Communications

Their main topics of research focus on technological and computational advancements such as:

  • Advanced Memory and Neural Computing
  • Advanced Neural Network Applications
  • Parallel Computing and Optimization Techniques
  • Low-power high-performance VLSI design
  • Graphene research and applications
  • Ferroelectric and Negative Capacitance Devices
  • AI in cancer detection

Sparsh Mittal's frequent co-authors include Onkar Susladkar, Dhruv Makwana, Gayatri Deshmukh, Mubashir A. Kharadi, and Farooq Ahmad Khanday, reflecting collaborative research efforts.

The scientist has a significant presence in various publication venues, with a notable number of papers appearing in:

  • arXiv (Cornell University)
  • Journal of Systems Architecture
  • IEEE Transactions on Electron Devices
  • ACM Transactions on Embedded Computing Systems
  • SSRN Electronic Journal

Examples of recent research papers published by Sparsh Mittal include:

  • "A survey of deep learning techniques for vehicle detection from UAV images," 2021, Journal of Systems Architecture
  • "Review-Silicene: From Material to Device Applications," 2020, ECS Journal of Solid State Science and Technology
  • "A Survey of Deep Learning Techniques for Underwater Image Classification," 2022, IEEE Transactions on Neural Networks and Learning Systems
  • "A survey of techniques for optimizing transformer inference," 2023, Journal of Systems Architecture
  • "A survey of SRAM-based in-memory computing techniques and applications," 2021, Journal of Systems Architecture

Best Publications

  • A Survey of Techniques for Approximate Computing

    Unknown

  • A Survey of CPU-GPU Heterogeneous Computing Techniques

    Sparsh Mittal;Jeffrey S. Vetter

  • A Survey of Software Techniques for Using Non-Volatile Memories for Storage and Main Memory Systems

    Sparsh Mittal;Jeffrey S. Vetter

  • A Survey on optimized implementation of deep learning models on the NVIDIA Jetson platform

    Unknown

  • A survey of techniques for optimizing deep learning on GPUs

    Unknown

  • A survey of techniques for improving energy efficiency in embedded computing systems

    Unknown

  • A survey of deep learning techniques for vehicle detection from UAV images

    Unknown

  • DESTINY: a tool for modeling emerging 3D NVM and eDRAM caches

    Matt Poremba;Sparsh Mittal;Dong Li;Jeffrey S. Vetter

  • A survey of architectural techniques for improving cache power efficiency

    Unknown

  • Opportunities for Nonvolatile Memory Systems in Extreme-Scale High-Performance Computing

    Jeffrey S. Vetter;Sparsh Mittal

  • A Survey of Recent Prefetching Techniques for Processor Caches

    Unknown

  • A Survey of Techniques for Modeling and Improving Reliability of Computing Systems

    Sparsh Mittal;Jeffrey S. Vetter

  • A Survey of Techniques for Architecting and Managing Asymmetric Multicore Processors

    Unknown

  • Power Management Techniques for Data Centers: A Survey

    Unknown

  • A survey of architectural techniques for DRAM power management

    Unknown

  • A survey of SRAM-based in-memory computing techniques and applications

    Sparsh Mittal;Gaurav Verma;Brajesh Kumar Kaushik;Farooq Ahmad Khanday

  • A Survey of Deep Learning on CPUs: Opportunities and Co-Optimizations

    Unknown

  • A survey On hardware accelerators and optimization techniques for RNNs

    Unknown

  • A survey of accelerator architectures for 3D convolution neural networks

    Unknown

  • DESTINY: A Comprehensive Tool with 3D and Multi-Level Cell Memory Modeling Capability

    Sparsh Mittal;Rujia Wang;Jeffrey Vetter

  • A Survey Of Techniques for Architecting DRAM Caches

    Sparsh Mittal;Jeffrey S. Vetter

  • A Survey of Techniques for Cache Partitioning in Multicore Processors

    Sparsh Mittal

  • AYUSH: A Technique for Extending Lifetime of SRAM-NVM Hybrid Caches

    Sparsh Mittal;Jeffrey S. Vetter

  • A Survey of Techniques for Architecting Processor Components Using Domain-Wall Memory

    Sparsh Mittal

  • Algorithm-Directed Data Placement in Explicitly Managed Non-Volatile Memory

    Panruo Wu;Dong Li;Zizhong Chen;Jeffrey S. Vetter

  • Quantitatively modeling application resilience with the data vulnerability factor

    Li Yu;Dong Li;Sparsh Mittal;Jeffrey S. Vetter

  • FlexiWay: A cache energy saving technique using fine-grained cache reconfiguration

    Sparsh Mittal;Zhao Zhang;Jeffrey S. Vetter

  • A Survey of Techniques for Architecting TLBs

    Sparsh Mittal

  • WriteSmoothing: improving lifetime of non-volatile caches using intra-set wear-leveling

    Sparsh Mittal;Jeffrey S. Vetter;Dong Li

  • LastingNVCache: A Technique for Improving the Lifetime of Non-volatile Caches

    Sparsh Mittal;Jeffrey S. Vetter;Dong Li

  • EqualWrites: Reducing Intra-Set Write Variations for Enhancing Lifetime of Non-Volatile Caches

    Sparsh Mittal;Jeffrey S. Vetter

  • A survey of techniques for architecting SLC/MLC/TLC hybrid Flash memory–based SSDs

    Ahmed Izzat Alsalibi;Sparsh Mittal;Mohammed Azmi Al-Betar;Putra Bin Sumari

  • The Ramifications of Making Deep Neural Networks Compact

    Nandan Kumar Jha;Sparsh Mittal;Govardhan Mattela

  • Addressing Read-Disturbance Issue in STT-RAM by Data Compression and Selective Duplication

    Sparsh Mittal;Jeffrey S. Vetter;Lei Jiang

Frequent Co-Authors

Jeffrey S. Vetter
Jeffrey S. Vetter Oak Ridge National Laboratory
Lei Jiang
Lei Jiang Chinese Academy of Sciences
Mehdi B. Tahoori
Mehdi B. Tahoori Karlsruhe Institute of Technology
Mohammed Azmi Al-Betar
Mohammed Azmi Al-Betar Ajman University of Science and Technology
Youtao Zhang
Youtao Zhang University of Pittsburgh
Jun Yang
Jun Yang University of Pittsburgh

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