World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
80
Citations
30064
World Ranking
1067
National Ranking
573

Garth A. Gibson 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 Garth A. Gibson 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: 259 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Garth A. Gibson 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 Garth A. Gibson 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: 80 D-Index — 93rd percentile

93% 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

  • 2012 - ACM Fellow For contributions to the performance and reliability of storage systems.

Overview

Garth A. Gibson is affiliated with Carnegie Mellon University in the United States. Their research primarily focuses on computer science, particularly within the subfields of computer networks and communications as well as information systems.

The main topics of Gibson's work include:

  • Advanced Data Storage Technologies
  • Cloud Computing and Resource Management
  • Distributed and Parallel Computing Systems
  • Distributed Systems and Fault Tolerance
  • Peer-to-Peer Network Technologies

Gibson's recent papers cover a range of topics related to computing environments and data management:

  • Mochi: Composing Data Services for High-Performance Computing Environments (2020, Journal of Computer Science and Technology)
  • Streaming Data Reorganization at Scale with DeltaFS Indexed Massive Directories (2020, ACM Transactions on Storage)
  • DeltaFS: a scalable no-ground-truth filesystem for massively-parallel computing (2021, IEEE International Conference on High Performance Computing, Data, and Analytics)
  • Building A Research Partnership Between Computer Scientists and Health Service Researchers for Access and Analysis of Population-Level Health Datasets (2020, International Journal for Population Data Science)

Frequent collaborators in Gibson's research include:

  • George Amvrosiadis
  • Charles D. Cranor
  • Bradley W. Settlemyer
  • Qing Zheng
  • Gregory R. Ganger

Gibson has contributed to publications in multiple venues, often appearing in:

  • Journal of Computer Science and Technology
  • ACM Transactions on Storage
  • IEEE International Conference on High Performance Computing, Data, and Analytics
  • International Journal for Population Data Science

In recognition of their contributions to storage system performance and reliability, Gibson was named an ACM Fellow in 2012.

Best Publications

  • A case for redundant arrays of inexpensive disks (RAID)

    David A. Patterson;Garth Gibson;Randy H. Katz

  • A Large-Scale Study of Failures in High-Performance Computing Systems

    Bianca Schroeder;Garth A Gibson

  • RAID: high-performance, reliable secondary storage

    Peter M. Chen;Edward K. Lee;Garth A. Gibson;Randy H. Katz

  • Understanding disk failure rates: What does an MTTF of 1,000,000 hours mean to you?

    Bianca Schroeder;Garth A. Gibson

  • Informed prefetching and caching

    R. H. Patterson;G. A. Gibson;E. Ginting;D. Stodolsky

  • Disk failures in the real world: what does an MTTF of 1,000,000 hours mean to you?

    Bianca Schroeder;Garth A. Gibson

  • More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server

    Qirong Ho;James Cipar;Henggang Cui;Seunghak Lee

  • Network attached storage architecture

    Garth A. Gibson;Rodney Van Meter

  • A cost-effective, high-bandwidth storage architecture

    Garth A. Gibson;David F. Nagle;Khalil Amiri;Jeff Butler

  • Safe and effective fine-grained TCP retransmissions for datacenter communication

    Vijay Vasudevan;Amar Phanishayee;Hiral Shah;Elie Krevat

  • Understanding failures in petascale computers

    Bianca Schroeder;Garth A. Gibson

  • Scalable performance of the Panasas parallel file system

    Brent Welch;Marc Unangst;Zainul Abbasi;Garth Gibson

  • Active Storage For Large-Scale Data Mining and Multimedia Applications

    Erik Reidel;Garth Gibson;Christos Faloutsos

  • PLFS: a checkpoint filesystem for parallel applications

    John Bent;Garth Gibson;Gary Grider;Ben McClelland

  • Coding techniques for handling failures in large disk arrays

    Garth A. Gibson;Lisa Hellerstein;Richard Manning Karp;Randy H. Katz

  • Active Storage for Large-Scale Data Mining and Multimedia

    Erik Riedel;Garth A. Gibson;Christos Faloutsos

  • Introduction to redundant arrays of inexpensive disks (RAID)

    D.A. Patterson;P. Chen;G. Gibson;R.H. Katz

  • File server scaling with network-attached secure disks

    Garth A. Gibson;David F. Nagle;Khalil Amiri;Fay W. Chang

  • Redundant Disk Arrays: Reliable, Parallel Secondary Storage

    Garth Alan Gibson

  • Measurement and analysis of TCP throughput collapse in cluster-based storage systems

    Amar Phanishayee;Elie Krevat;Vijay Vasudevan;David G. Andersen

  • Disk Failures in the Real World: What Does an MTTF of 1,000,000 Hours Mean to You? (CMU-PDL-06-111)

    Bianca Schroeder;Garth A. Gibson

Frequent Co-Authors

Gregory R. Ganger
Gregory R. Ganger Carnegie Mellon University
Randy H. Katz
Randy H. Katz University of California, Berkeley
David A. Patterson
David A. Patterson University of California, Berkeley
Eric P. Xing
Eric P. Xing Mohamed bin Zayed University of Artificial Intelligence
Peter M. Chen
Peter M. Chen University of Michigan–Ann Arbor
Vijay K. Vasudevan
Vijay K. Vasudevan Google (United States)
Susan J. Eggers
Susan J. Eggers University of Washington
David G. Andersen
David G. Andersen Carnegie Mellon University
Christos Faloutsos
Christos Faloutsos Carnegie Mellon University
Srinivasan Seshan
Srinivasan Seshan Carnegie Mellon University

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