World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
8204
World Ranking
6232
National Ranking
2792

Mikko H. Lipasti 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 Mikko H. Lipasti 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: 167 publications — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Mikko H. Lipasti 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 Mikko H. Lipasti 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.

Research.com Recognitions

  • 2013 - IEEE Fellow For contributions to the microarchitecture and design of high-performance microprocessors and computer systems

Overview

Mikko H. Lipasti is affiliated with the University of Wisconsin-Madison in the United States. Their research spans multiple disciplines within computer science and engineering, with a focus on parallel computing, hardware architecture, and neural computing.

The main fields of study in Mikko H. Lipasti's work include:

  • Computer Science
  • Engineering

Within these fields, their subfields of specialization cover:

  • Electrical and Electronic Engineering
  • Hardware and Architecture
  • Computer Networks and Communications
  • Artificial Intelligence
  • Cognitive Neuroscience

The core topics addressed in their research are:

  • Parallel Computing and Optimization Techniques
  • Advanced Memory and Neural Computing
  • Ferroelectric and Negative Capacitance Devices
  • Advanced Data Storage Technologies
  • Low-power high-performance VLSI design
  • Embedded Systems Design Techniques
  • Neural dynamics and brain function

Mikko H. Lipasti has published recent papers in recognized venues, with examples including:

  • "Systems-on-Chip with Strong Ordering," 2021, ACM Transactions on Architecture and Code Optimization
  • "Energy-Efficient Bayesian Inference Using Bitstream Computing," 2023, IEEE Computer Architecture Letters
  • "TNT: A Modular Approach to Traversing Physically Heterogeneous NOCs at Bare-wire Latency," 2023, ACM Transactions on Architecture and Code Optimization
  • "Turn-based Spatiotemporal Coherence for GPUs," 2023, ACM Transactions on Architecture and Code Optimization
  • "Value Locality Based Approximation With ODIN," 2020, IEEE Computer Architecture Letters

Frequent coauthors collaborating with Mikko H. Lipasti include:

  • Kyle Daruwalla
  • Gokul Subramanian Ravi
  • Sooraj Puthoor
  • Joshua San Miguel
  • Soroosh Khoram

The venues where Mikko H. Lipasti commonly publishes comprise:

  • ACM Transactions on Architecture and Code Optimization
  • arXiv (Cornell University)
  • IEEE Computer Architecture Letters
  • Frontiers in Computational Neuroscience
  • Proceedings of the Great Lakes Symposium on VLSI 2022

In recognition of their work, Mikko H. Lipasti was named an IEEE Fellow in 2013 for contributions related to microarchitecture and the design of high-performance microprocessors and computer systems.

Best Publications

  • Value locality and load value prediction

    Mikko H. Lipasti;Christopher B. Wilkerson;John Paul Shen

  • Exceeding the dataflow limit via value prediction

    Mikko H. Lipasti;John Paul Shen

  • Modern Processor Design: Fundamentals of Superscalar Processors

    John Paul Shen;Mikko H. Lipasti

  • Virtual Circuit Tree Multicasting: A Case for On-Chip Hardware Multicast Support

    Natalie Enright Jerger;Li-Shiuan Peh;Mikko Lipasti

  • Achieving predictable performance through better memory controller placement in many-core CMPs

    Dennis Abts;Natalie D. Enright Jerger;John Kim;Dan Gibson

  • SCARAB: a single cycle adaptive routing and bufferless network

    Mitchell Hayenga;Natalie Enright Jerger;Mikko Lipasti

  • An architectural evaluation of Java TPC-W

    H.W. Cain;R. Rajwar;M. Marden;M.H. Lipasti

  • Circuit-Switched Coherence

    N. Enright Jerger;Li-Shiuan Peh;M. Lipasti

  • SPAID: software prefetching in pointer- and call-intensive environments

    Mikko H. Lipasti;William J. Schmidt;Steven R. Kunkel;Robert R. Roediger

  • On the value locality of store instructions

    Kevin M. Lepak;Mikko H. Lipasti

  • Improving Multiprocessor Performance with Coarse-Grain Coherence Tracking

    Jason F. Cantin;Mikko H. Lipasti;James E. Smith

  • Light speed arbitration and flow control for nanophotonic interconnects

    Dana Vantrease;Nathan Binkert;Robert Schreiber;Mikko H. Lipasti

  • BenchNN: On the broad potential application scope of hardware neural network accelerators

    Tianshi Chen;Yunji Chen;Marc Duranton;Qi Guo

  • Precise and Accurate Processor Simulation

    Mikko H. Lipasti;Harold W. Cain;Kevin M. Lepak

  • Superspeculative microarchitecture for beyond AD 2000

    M.H. Lipasti;J.P. Shen

  • Silent stores for free

    Kevin M. Lepak;Mikko H. Lipasti

  • Physical Register Inlining

    Mikko H. Lipasti;Brian R. Mestan;Erika Gunadi

  • SPAID: software prefetching in pointer- and call-intensive environments

    Unknown

  • Memory Ordering: A Value-Based Approach

    Harold W. Cain;Mikko H. Lipasti

  • Virtual tree coherence: Leveraging regions and in-network multicast trees for scalable cache coherence

    N.D. Enright Jerger;Li-Shiuan Peh;M.H. Lipasti

  • AchievingPredictablePerformancethroughBetterMemory ControllerPlacementinMany-CoreCMPs

    Enright Jerger;John Kim;Dan Gibson;Mikko H. Lipasti

Frequent Co-Authors

Nam Sung Kim
Nam Sung Kim University of Illinois at Urbana-Champaign
John Paul Shen
John Paul Shen Carnegie Mellon University
James E. Smith
James E. Smith University of Wisconsin–Madison
Natalie Enright Jerger
Natalie Enright Jerger University of Toronto
Li-Shiuan Peh
Li-Shiuan Peh National University of Singapore
Kewal K. Saluja
Kewal K. Saluja University of Wisconsin–Madison
Milo M. K. Martin
Milo M. K. Martin Google (United States)
John Kim
John Kim University of California, Los Angeles
Pradip Bose
Pradip Bose IBM (United States)
Olivier Temam
Olivier Temam DeepMind (United Kingdom)

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