World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
76
Citations
22688
World Ranking
1346
National Ranking
705

Kunle Olukotun 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 Kunle Olukotun 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 219 publications — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Kunle Olukotun 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 Kunle Olukotun sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 76 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.

Overview

Kunle Olukotun is affiliated with Stanford University in the United States and has contributed extensively to the field of computer science. Their body of work spans multiple subfields including hardware and architecture, computer networks and communications, artificial intelligence, electrical and electronic engineering, and management science and operations research.

The scientist has focused research efforts on several main topics, including parallel computing and optimization techniques, embedded systems design techniques, interconnection networks and systems, distributed and parallel computing systems, machine learning and data classification, advanced bandit algorithms research, and cloud computing and resource management.

Olukotun has published in a variety of venues, frequently contributing to arXiv (Cornell University) with 14 publications. Other notable venues include the Proceedings of the ACM on Programming Languages with two publications, Lecture Notes in Computer Science, IEEE Computer Architecture Letters, and the 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).

Recent papers authored or co-authored by Olukotun include:

  • Compilation of sparse array programming models, 2021, Proceedings of the ACM on Programming Languages
  • Mosaic: An Interoperable Compiler for Tensor Algebra, 2023, Proceedings of the ACM on Programming Languages
  • Stardust: Compiling Sparse Tensor Algebra to a Reconfigurable Dataflow Architecture, 2022, arXiv (Cornell University)
  • Implementing and Optimizing the Scaled Dot-Product Attention on Streaming Dataflow, 2024, arXiv (Cornell University)
  • Bayesian Optimization with a Prior for the Optimum, 2021, Lecture Notes in Computer Science

Frequent collaborators of Olukotun include Olivia Hsu, Fredrik Kjølstad, Raghu Prabhakar, Yaqi Zhang, and Luigi Nardi, illustrating a network of co-authorship across various projects and publications.

Best Publications

  • Map-Reduce for Machine Learning on Multicore

    Cheng-tao Chu;Sang K. Kim;Yi-an Lin;Yuanyuan Yu

  • Niagara: a 32-way multithreaded Sparc processor

    P. Kongetira;K. Aingaran;K. Olukotun

  • STAMP: Stanford Transactional Applications for Multi-Processing

    Chi Cao Minh;JaeWoong Chung;C. Kozyrakis;K. Olukotun

  • The case for a single-chip multiprocessor

    Kunle Olukotun;Basem A. Nayfeh;Lance Hammond;Ken Wilson

  • Transactional Memory Coherence and Consistency

    Lance Hammond;Vicky Wong;Mike Chen;Brian D. Carlstrom

  • A single-chip multiprocessor

    B.A. Nayfeh;K. Olukotun

  • Data speculation support for a chip multiprocessor

    Lance Hammond;Mark Willey;Kunle Olukotun

  • Accelerating CUDA graph algorithms at maximum warp

    Sungpack Hong;Sang Kyun Kim;Tayo Oguntebi;Kunle Olukotun

  • An effective hybrid transactional memory system with strong isolation guarantees

    Chi Cao Minh;Martin Trautmann;JaeWoong Chung;Austen McDonald

  • Efficient Parallel Graph Exploration on Multi-Core CPU and GPU

    Sungpack Hong;Tayo Oguntebi;Kunle Olukotun

  • The Future of Microprocessors: Chip multiprocessors’ promise of huge performance gains is now a reality.

    Kunle Olukotun;Lance Hammond

  • Green-Marl: a DSL for easy and efficient graph analysis

    Sungpack Hong;Hassan Chafi;Edic Sedlar;Kunle Olukotun

  • REMARC : Reconfigurable Multimedia Array Coprocessor

    Takashi Miyamori;Kunle Olukotun

  • Architectural Semantics for Practical Transactional Memory

    Austen McDonald;JaeWoong Chung;Brian D. Carlstrom;Chi Cao Minh

  • A practical concurrent binary search tree

    Nathan G. Bronson;Jared Casper;Hassan Chafi;Kunle Olukotun

  • Multi-core multi-thread processor

    Leslie D. Kohn;Kunle A. Olukotun;Michael K. Wong

  • OptiML: An Implicitly Parallel Domain-Specific Language for Machine Learning

    Arvind Sujeeth;Hyoukjoong Lee;Kevin Brown;Tiark Rompf

  • A Heterogeneous Parallel Framework for Domain-Specific Languages

    Kevin J. Brown;Arvind K. Sujeeth;Hyouk Joong Lee;Tiark Rompf

  • Delite: A Compiler Architecture for Performance-Oriented Embedded Domain-Specific Languages

    Arvind K. Sujeeth;Kevin J. Brown;Hyoukjoong Lee;Tiark Rompf

  • Plasticine: A Reconfigurable Architecture For Parallel Paterns

    Raghu Prabhakar;Yaqi Zhang;David Koeplinger;Matt Feldman

  • EmptyHeaded: A Relational Engine for Graph Processing

    Christopher R. Aberger;Andrew Lamb;Susan Tu;Andres Nötzli

Frequent Co-Authors

Christos Kozyrakis
Christos Kozyrakis Stanford University
Hassan Chafi
Hassan Chafi Oracle (US)
Christopher Ré
Christopher Ré Stanford University
Tiark Rompf
Tiark Rompf Purdue University West Lafayette
Martin Odersky
Martin Odersky École Polytechnique Fédérale de Lausanne
Peter Bailis
Peter Bailis Stanford University
Ce Zhang
Ce Zhang ETH Zurich
Trevor Mudge
Trevor Mudge University of Michigan–Ann Arbor
Matei Zaharia
Matei Zaharia University of California, Berkeley
Jaswinder Pal Singh
Jaswinder Pal Singh Princeton University

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