World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
7139
World Ranking
7640
National Ranking
3308

Calvin Lin 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 Calvin Lin 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: 125 publications — 17th percentile

17% of scientists in this discipline score the same or lower.

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

Calvin Lin 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 Calvin Lin 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: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Overview

Calvin Lin is affiliated with The University of Texas at Austin in the United States. Their research primarily spans the field of Computer Science with significant contributions in several subfields including Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture, Molecular Biology, and Electrical and Electronic Engineering.

The scientist's main topics of work focus on Parallel Computing and Optimization Techniques, Advanced Data Storage Technologies, Interconnection Networks and Systems, Heat Shock Proteins Research, Ubiquitin and Proteasome Pathways, Distributed Systems and Fault Tolerance, and Radiation Effects in Electronics.

Lin has published in a variety of venues, with a notable presence in the following:

  • arXiv (Cornell University)
  • IEEE Micro
  • IEEE Transactions on Computers
  • Biophysical Journal
  • Open Collections

Their recent papers include these titles:

  • "Practical Temporal Prefetching With Compressed On-Chip Metadata" (2021, IEEE Transactions on Computers)
  • "Learned Hardware/Software Co-Design of Neural Accelerators" (2020, arXiv (Cornell University))
  • "IEEE Annals of the History of Computing" (2023, IEEE Micro)
  • "Exploring Hsp90 as a possible pseudo-substrate receptor for E3 ligases" (2023, Biophysical Journal)
  • "Effective Mimicry of Bélády's MIN Policy" (2023, IEEE Micro)

Frequent coauthors working with Lin include Akanksha Jain, Ishan Shah, Chirag Sakhuja, Hao Wu, and Krishnendra Nathella. These collaborations have contributed to a multidisciplinary range of topics intersecting computer science and molecular biology.

Best Publications

  • Dynamic branch prediction with perceptrons

    D.A. Jimenez;C. Lin

  • Scaling to the end of silicon with EDGE architectures

    D. Burger;S.W. Keckler;K.S. McKinley;M. Dahlin

  • The ant and the grasshopper: fast and accurate pointer analysis for millions of lines of code

    Ben Hardekopf;Calvin Lin

  • Neural methods for dynamic branch prediction

    Daniel A. Jiménez;Calvin Lin

  • Raccoon: closing digital side-channels through obfuscated execution

    Ashay Rane;Calvin Lin;Mohit Tiwari

  • Flow-sensitive pointer analysis for millions of lines of code

    Ben Hardekopf;Calvin Lin

  • The impact of delay on the design of branch predictors

    Daniel A. Jiménez;Stephen W. Keckler;Calvin Lin

  • Linearizing irregular memory accesses for improved correlated prefetching

    Akanksha Jain;Calvin Lin

  • Adaptive History-Based Memory Schedulers

    Ibrahim Hur;Calvin Lin

  • A comprehensive approach to DRAM power management

    I. Hur;C. Lin

  • Efficient and extensible security enforcement using dynamic data flow analysis

    Walter Chang;Brandon Streiff;Calvin Lin

  • Semi-sparse flow-sensitive pointer analysis

    Ben Hardekopf;Calvin Lin

  • Principles of Parallel Programming

    Calvin Lin;Larry Snyder

  • Volume leases for consistency in large-scale systems

    Jian Yin;L. Alvisi;M. Dahlin;C. Lin

  • Back to the future: leveraging Belady's algorithm for improved cache replacement

    Akanksha Jain;Calvin Lin

  • An annotation language for optimizing software libraries

    Samuel Z. Guyer;Calvin Lin

  • Memory Prefetching Using Adaptive Stream Detection

    Ibrahim Hur;Calvin Lin

  • Client-driven pointer analysis

    Samuel Z. Guyer;Calvin Lin

  • Applying Deep Learning to the Cache Replacement Problem

    Zhan Shi;Xiangru Huang;Akanksha Jain;Calvin Lin

  • Using leases to support server-driven consistency in large-scale systems

    J. Yin;L. Alvisi;M. Dahlin;C. Lin

Frequent Co-Authors

Lawrence Snyder
Lawrence Snyder University of Washington
Lawrence H. Snyder
Lawrence H. Snyder Washington University in St. Louis
Stephen W. Keckler
Stephen W. Keckler Nvidia (United States)
Mike Dahlin
Mike Dahlin The University of Texas at Austin
Lorenzo Alvisi
Lorenzo Alvisi Cornell University
Kathryn S. McKinley
Kathryn S. McKinley Google (United States)
George Veletsianos
George Veletsianos University of Minnesota
Isil Dillig
Isil Dillig The University of Texas at Austin
Doug Burger
Doug Burger Microsoft (United States)
Lizy K. John
Lizy K. John The University of Texas at Austin

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