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D-Index & Metrics

Computer Science

D-Index
77
Citations
21868
World Ranking
1285
National Ranking
682

Yale N. Patt 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 Yale N. Patt 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: 297 publications — 73rd percentile

73% of scientists in this discipline score the same or lower.

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

Yale N. Patt 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 Yale N. Patt 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: 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

  • 2016 - Benjamin Franklin Medal, Franklin Institute
  • 2014 - Member of the National Academy of Engineering For contributions to high-performance microprocessor architecture.
  • 2001 - ACM Fellow For many outstanding seminal contributions to high performance microarchitecture and for leadership and teaching in computer science and engineering education.
  • 2000 - ACM Karl V. Karlstrom Outstanding Educator Award For great ability, dedication, and success in developing computer science education, and for outstanding achievements as a teacher.
  • 1999 - W. Wallace McDowell Award, IEEE Computer Society For your impact on the high performance microprocessor industry via a combination of important contributions to both engineering and education.
  • 1996 - ACM - IEEE CS Eckert-Mauchly Award For important contributions to instruction level parallelism and superscalar processor design.
  • 1992 - IEEE Fellow For innovative contributions to high-speed computer architecture.

Overview

Yale N. Patt is affiliated with The University of Texas at Austin in the United States. Their research spans primarily the field of computer science, with a focus on hardware and architecture, computer networks and communications, and gastroenterology as a subfield.

Their work includes multiple publications in topics such as parallel computing and optimization techniques, embedded systems design techniques, interconnection networks and systems, and celiac disease research and management.

Recent papers authored or co-authored by Yale N. Patt include:

  • "Dynamic Merge Point Prediction," 2020, arXiv (Cornell University)
  • "Masthead," 2020, IEEE Micro
  • "The CORRECT First Course in Computing for Serious Students," 2024, Computer
  • "Deep Learning in Coeliac Disease: A Systematic Review on Novel Diagnostic approaches to disease diagnosis," 2024, Endoscopy

Frequent co-authors of Yale N. Patt are:

  • Stephen Pruett
  • Lizy K. John
  • Rubina Bahar
  • Natalie Enright Jerger
  • R. Mateosian

The most common venues for Yale N. Patt's publications include:

  • arXiv (Cornell University)
  • IEEE Micro
  • Computer
  • Endoscopy

Yale N. Patt has been recognized with several awards, including the Benjamin Franklin Medal from the Franklin Institute in 2016. They were elected as Member of the National Academy of Engineering in 2014 for contributions to high-performance microprocessor architecture. Other honors include being named an ACM Fellow in 2001 for seminal contributions to microarchitecture and teaching, and receiving the ACM Karl V. Karlstrom Outstanding Educator Award in 2000 for achievements in computer science education.

Additional awards feature the W. Wallace McDowell Award from IEEE Computer Society in 1999 for impact on the microprocessor industry, the ACM-IEEE CS Eckert-Mauchly Award in 1996 for contributions to instruction-level parallelism and superscalar processor design, and IEEE Fellow status since 1992 for innovative contributions to computer architecture.

Best Publications

  • Utility-Based Cache Partitioning: A Low-Overhead, High-Performance, Runtime Mechanism to Partition Shared Caches

    Moinuddin K. Qureshi;Yale N. Patt

  • Adaptive insertion policies for high performance caching

    Moinuddin K. Qureshi;Aamer Jaleel;Yale N. Patt;Simon C. Steely

  • Two-level adaptive training branch prediction

    Tse-Yu Yeh;Yale N. Patt

  • Alternative implementations of two-level adaptive branch prediction

    Tse-Yu Yeh;Yale N. Patt

  • Runahead execution: an alternative to very large instruction windows for out-of-order processors

    O. Mutlu;J. Stark;C. Wilkerson;Y.N. Patt

  • A comparison of dynamic branch predictors that use two levels of branch history

    Tse-Yu Yeh;Yale N. Patt

  • Improving GPU performance via large warps and two-level warp scheduling

    Veynu Narasiman;Michael Shebanow;Chang Joo Lee;Rustam Miftakhutdinov

  • Feedback Directed Prefetching: Improving the Performance and Bandwidth-Efficiency of Hardware Prefetchers

    S. Srinath;O. Mutlu;Hyesoon Kim;Y.N. Patt

  • Fairness via source throttling: a configurable and high-performance fairness substrate for multi-core memory systems

    Eiman Ebrahimi;Chang Joo Lee;Onur Mutlu;Yale N. Patt

  • Decision procedures for surjectivity and injectivity of parallel maps for tessellation structures

    S. Amoroso;Y. N. Patt

  • Scheduling algorithms for modern disk drives

    Bruce L. Worthington;Gregory R. Ganger;Yale N. Patt

  • A Case for MLP-Aware Cache Replacement

    Moinuddin K. Qureshi;Daniel N. Lynch;Onur Mutlu;Yale N. Patt

  • Accelerating critical section execution with asymmetric multi-core architectures

    M. Aater Suleman;Onur Mutlu;Moinuddin K. Qureshi;Yale N. Patt

  • Simultaneous subordinate microthreading (SSMT)

    Robert S. Chappell;Jared Stark;Sangwook P. Kim;Steven K. Reinhardt

  • Checkpoint Repair for High-Performance Out-of-Order Execution Machines

    Wen-Mei W. Hwu;Yale N. Patt

  • On-line extraction of SCSI disk drive parameters

    Bruce L. Worthington;Gregory R. Ganger;Yale N. Patt;John Wilkes

  • The V-Way Cache: Demand Based Associativity via Global Replacement

    Moinuddin K. Qureshi;David Thompson;Yale N. Patt

  • Increasing the instruction fetch rate via multiple branch prediction and a branch address cache

    Tse-Yu Yeh;Deborah T. Marr;Yale N. Patt

  • Single instruction stream parallelism is greater than two

    Michael Butler;Tse-Yu Yeh;Yale Patt;Mitch Alsup

  • The agree predictor: a mechanism for reducing negative branch history interference

    Eric Sprangle;Robert S. Chappell;Mitch Alsup;Yale N. Patt

  • Utility-Based Cache Partitioning

    Moinuddin K. Qureshi;Yale N. Patt

Frequent Co-Authors

Onur Mutlu
Onur Mutlu ETH Zurich
Hyesoon Kim
Hyesoon Kim Georgia Institute of Technology
Wen-mei W. Hwu
Wen-mei W. Hwu University of Illinois at Urbana-Champaign
Gregory R. Ganger
Gregory R. Ganger Carnegie Mellon University
Moinuddin K. Qureshi
Moinuddin K. Qureshi Georgia Institute of Technology
Sanjay J. Patel
Sanjay J. Patel University of Illinois at Urbana-Champaign
Chris Wilkerson
Chris Wilkerson Nvidia (United Kingdom)
John Wilkes
John Wilkes Google (United States)
Kevin Skadron
Kevin Skadron University of Virginia

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