World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
9642
World Ranking
7131
National Ranking
3124

Scott Klasky 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 Scott Klasky 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: 309 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Scott Klasky 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 Scott Klasky 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: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Overview

Scott Klasky is affiliated with Oak Ridge National Laboratory in the United States. Their research is primarily situated within the field of Computer Science with a focus on several subfields including Computer Networks and Communications, Information Systems and Management, Computer Vision and Pattern Recognition, Nuclear and High Energy Physics, and Artificial Intelligence.

The main topics of their work include:

  • Advanced Data Storage Technologies
  • Distributed and Parallel Computing Systems
  • Scientific Computing and Data Management
  • Magnetic Confinement Fusion Research
  • Parallel Computing and Optimization Techniques
  • Algorithms and Data Compression
  • Advanced Data Compression Techniques

Their recent published papers showcase active contributions to computational and data science research. Notable publications include:

  • "ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management," 2020, published in SoftwareX
  • "2022 Review of Data-Driven Plasma Science," 2023, in IEEE Transactions on Plasma Science
  • "A terminology for in situ visualization and analysis systems," 2020, in The International Journal of High Performance Computing Applications
  • "MGARD+: Optimizing Multilevel Methods for Error-Bounded Scientific Data Reduction," 2021, in IEEE Transactions on Computers
  • "Ad Hoc File Systems for High-Performance Computing," 2020, in Journal of Computer Science and Technology

Scott Klasky's scholarly output is frequently published in venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Parallel and Distributed Systems
  • SoftwareX
  • The International Journal of High Performance Computing Applications
  • Physics of Plasmas

The scientist has collaborated extensively with other researchers, including frequent coauthors:

  • Norbert Podhorszki
  • David Pugmire
  • Lipeng Wan
  • Matthew Wolf
  • Jieyang Chen

Best Publications

  • Terascale direct numerical simulations of turbulent combustion using S3D

    J. H. Chen;A. Choudhary;B. De Supinski;M. Devries

  • Flexible IO and integration for scientific codes through the adaptable IO system (ADIOS)

    Jay F. Lofstead;Scott Klasky;Karsten Schwan;Norbert Podhorszki

  • DataSpaces: an interaction and coordination framework for coupled simulation workflows

    Ciprian Docan;Manish Parashar;Scott Klasky

  • DataStager: scalable data staging services for petascale applications

    Hasan Abbasi;Matthew Wolf;Greg Eisenhauer;Scott Klasky

  • DataStager: scalable data staging services for petascale applications

    Hasan Abbasi;Matthew Wolf;Greg Eisenhauer;Scott Klasky

  • Hello ADIOS: the challenges and lessons of developing leadership class I/O frameworks

    Qing Liu;Jeremy Logan;Yuan Tian;Hasan Abbasi

  • PreDatA – preparatory data analytics on peta-scale machines

    Fang Zheng;Hasan Abbasi;Ciprian Docan;Jay Lofstead

  • Combining in-situ and in-transit processing to enable extreme-scale scientific analysis

    Janine C. Bennett;Hasan Abbasi;Peer-Timo Bremer;Ray Grout

  • Managing Variability in the IO Performance of Petascale Storage Systems

    Jay Lofstead;Fang Zheng;Qing Liu;Scott Klasky

  • Adaptable, metadata rich IO methods for portable high performance IO

    Jay Lofstead;Fang Zheng;Scott Klasky;Karsten Schwan

  • Compressing the incompressible with ISABELA: in-situ reduction of spatio-temporal data

    Sriram Lakshminarasimhan;Neil Shah;Stephane Ethier;Scott Klasky

  • ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management

    William F. Godoy;Norbert Podhorszki;Ruonan Wang;Chuck Atkins

  • In situ methods, infrastructures, and applications on high performance computing platforms

    A. C. Bauer;H. Abbasi;J. Ahrens;H. Childs

  • Spatiotemporal data mining in the era of big spatial data: algorithms and applications

    Ranga Raju Vatsavai;Auroop Ganguly;Varun Chandola;Anthony Stefanidis

  • Scientific Process Automation and Workflow Management

    Bertram Ludäscher;Ilkay Altintas;Shawn Bowers;Julian Cummings

  • Six degrees of scientific data: reading patterns for extreme scale science IO

    Jay Lofstead;Milo Polte;Garth Gibson;Scott Klasky

  • Exploring automatic, online failure recovery for scientific applications at extreme scales

    Marc Gamell;Daniel S. Katz;Hemanth Kolla;Jacqueline Chen

  • Characterizing output bottlenecks in a supercomputer

    Bing Xie;Jeffrey Chase;David Dillow;Oleg Drokin

  • ISABELA for effective in situ compression of scientific data

    Sriram Lakshminarasimhan;Sriram Lakshminarasimhan;Neil Shah;Stéphane Ethier;Seung-Hoe Ku

  • Enabling In-situ Execution of Coupled Scientific Workflow on Multi-core Platform

    Fan Zhang;Ciprian Docan;Manish Parashar;Scott Klasky

  • Scientific Data Analysis.

    Chandrika Kamath;Nikil Wale;George Karypis;Gaurav Pandey

  • Terascale direct numerical simulations of turbulent combustion using S3D.

    Ramanan Sankaran;J. Mellor-Crummy;M. DeVries;Chun Sang Yoo

Frequent Co-Authors

Norbert Podhorszki
Norbert Podhorszki Oak Ridge National Laboratory
Manish Parashar
Manish Parashar University of Utah
Karsten Schwan
Karsten Schwan Georgia Institute of Technology
Nagiza F. Samatova
Nagiza F. Samatova North Carolina State University
Kesheng Wu
Kesheng Wu Lawrence Berkeley National Laboratory
Tahsin Kurc
Tahsin Kurc Stony Brook University
Robert Ross
Robert Ross Argonne National Laboratory
Arie Shoshani
Arie Shoshani Lawrence Berkeley National Laboratory
Mladen A. Vouk
Mladen A. Vouk North Carolina State University
Jacqueline H. Chen
Jacqueline H. Chen Sandia National Laboratories

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