World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
82
Citations
37007
World Ranking
938
National Ranking
512

James E. Smith 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 James E. Smith 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: 420 publications — 89th percentile

89% of scientists in this discipline score the same or lower.

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

James E. Smith 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 James E. Smith 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: 82 D-Index — 94th percentile

94% 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

  • 2016 - Fellow, National Academy of Inventors
  • 1999 - ACM - IEEE CS Eckert-Mauchly Award For fundamental contributions to high performance microarchitecture, including saturating counters for branch prediction, reorder buffers for precise exceptions, decoupled access/execute architectures, and vector supercomputer organization, memory, and interconnects.

Overview

James E. Smith is affiliated with the University of Wisconsin-Madison in the United States. Their research primarily spans the field of Computer Science, with a strong focus on Artificial Intelligence. The subfields of study include Cognitive Neuroscience, Electrical and Electronic Engineering, Health Informatics, and Social Psychology.

The main topics of their work cover areas such as Advanced Memory and Neural Computing, Neural dynamics and brain function, Artificial Intelligence in Healthcare and Education, Privacy-Preserving Technologies in Data, Neural Networks and Applications, Neural Networks and Reservoir Computing, and Explainable Artificial Intelligence (XAI).

The scientist has contributed extensively to various publication venues. Frequently, their work appears in:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • The Science of The Total Environment
  • International Journal of Social Robotics
  • International Journal for Population Data Science

James E. Smith has worked with several frequent co-authors, including:

  • Felix Ritchie
  • Emily Jefferson
  • Richard J. Preen
  • Esma Mansouri-Benssassi
  • Maeve Malone

Their recent papers include:

  • "Assessing and managing SARS-CoV-2 occupational health risk to workers handling residuals and biosolids," 2021, The Science of The Total Environment
  • "Protein Structured Reservoir Computing for Spike-Based Pattern Recognition," 2021, IEEE Transactions on Parallel and Distributed Systems
  • "Disclosure control of machine learning models from trusted research environments (TRE): New challenges and opportunities," 2023, Heliyon
  • "Predicting downed woody material carbon stocks in forests of the conterminous United States," 2021, The Science of The Total Environment
  • "Sentence encoding for Dialogue Act classification," 2021, Natural Language Engineering

James E. Smith has been recognized with awards including being named a Fellow of the National Academy of Inventors in 2016. Earlier, in 1999, they received the ACM - IEEE CS Eckert-Mauchly Award for contributions to high performance microarchitecture, including saturating counters for branch prediction, reorder buffers for precise exceptions, decoupled access/execute architectures, and vector supercomputer organization, memory, and interconnects.

Best Publications

  • Introduction to evolutionary computing

    Agoston E. Eiben;J. E. Smith

  • Virtual Machines: Versatile Platforms for Systems and Processes

    James E. Smith;Ravi Nair

  • Complexity-effective superscalar processors

    Subbarao Palacharla;Norman P. Jouppi;J. E. Smith

  • A study of branch prediction strategies

    James E. Smith

  • The architecture of virtual machines

    J.E. Smith;Ravi Nair

  • A tutorial for competent memetic algorithms: model, taxonomy, and design issues

    N. Krasnogor;J. Smith

  • Introduction to Evolutionary Computing

    A.E. Eiben;J.E. Smith

  • Trace cache: a low latency approach to high bandwidth instruction fetching

    Eric Rotenberg;Steve Bennett;James E. Smith

  • The predictability of data values

    Yiannakis Sazeides;James E. Smith

  • From evolutionary computation to the evolution of things

    Ágoston E. Eiben;James E. Smith

  • The microarchitecture of superscalar processors

    J.E. Smith;G.S. Sohi

  • Trace processors

    Eric Rotenberg;Quinn Jacobson;Yiannakis Sazeides;Jim Smith

  • Parameter Control in Evolutionary Algorithms

    A. E. Eiben;Zbigniew Michalewicz;Marc Schoenauer;James E. Smith

  • Data Cache Prefetching Using a Global History Buffer

    K.J. Nesbit;J.E. Smith

  • Managing multi-configuration hardware via dynamic working set analysis

    Ashutosh S. Dhodapkar;James E. Smith

  • Fair Queuing Memory Systems

    Kyle J. Nesbit;Nidhi Aggarwal;James Laudon;James E. Smith

  • Assigning confidence to conditional branch predictions

    Erik Jacobsen;Eric Rotenberg;J. E. Smith

  • Implementing precise interrupts in pipelined processors

    J.E. Smith;A.R. Pleszkun

  • Speculative versioning cache

    S. Gopal;T.N. Vijaykumar;J.E. Smith;G.S. Sohi

  • Decoupled access/execute computer architectures

    James E. Smith

  • A First-Order Superscalar Processor Model

    Tejas S. Karkhanis;James E. Smith

  • Implementation of precise interrupts in pipelined processors

    James E. Smith;Andrew R. Pleszkun

  • Comparing program phase detection techniques

    Ashutosh S. Dhodapkar;James E. Smith

  • Data cache prefetching using a global history buffer

    K.J. Nesbit;J.E. Smith

  • Retrospective: a study of branch prediction strategies

    James E. Smith

Frequent Co-Authors

Lieven Eeckhout
Lieven Eeckhout Ghent University
Mikko H. Lipasti
Mikko H. Lipasti University of Wisconsin–Madison
Mateo Valero
Mateo Valero Barcelona Supercomputing Center
Per Stenström
Per Stenström Chalmers University of Technology
Norman P. Jouppi
Norman P. Jouppi Google (United States)
Antonio Gonzalez
Antonio Gonzalez Universitat Politècnica de Catalunya
Gurindar S. Sohi
Gurindar S. Sohi University of Wisconsin–Madison
Howard Jay Siegel
Howard Jay Siegel Colorado State University
Pradip Bose
Pradip Bose IBM (United States)
Parthasarathy Ranganathan
Parthasarathy Ranganathan Google (United States)

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