World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
7644
World Ranking
9653
National Ranking
4091

Beth Plale 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 Beth Plale 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: 229 publications — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Beth Plale 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 Beth Plale 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: 39 D-Index — 33rd percentile

33% 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

  • 2006 - ACM Senior Member

Overview

Beth Plale is affiliated with Indiana University in the United States and focuses their research primarily within the fields of Computer Science and Decision Sciences. Their work spans several subfields including Information Systems and Management, Computer Networks and Communications, Information Systems, Management Science and Operations Research, and Neurology.

The main research topics covered in their publications include Scientific Computing and Data Management, Research Data Management Practices, Distributed and Parallel Computing Systems, Advanced Data Storage Technologies, Data Quality and Management, Brain Tumor Detection and Classification, and Advanced Neural Network Applications.

Recent papers authored or co-authored by Beth Plale include:

  • Reproducibility Practice in High-Performance Computing: Community Survey Results (2021), Computing in Science & Engineering
  • Policy recommendations to ensure that research software is openly accessible and reusable (2023), PLoS Biology
  • Creating intelligent cyberinfrastructure for democratizing AI (2024), AI Magazine
  • Cybershuttle: An End-to-End Cyberinfrastructure Continuum to Accelerate Discovery in Science and Engineering (2023), Practice and Experience in Advanced Research Computing
  • Assessing the FAIR Digital Object Framework for Global Biodiversity Research (2023), Research Ideas and Outcomes

The frequent co-authors collaborating with Beth Plale include Line Pouchard, Sachith Withana, Inna Kouper, Tanu Malik, and A. Majumdar.

Publication venues where Beth Plale has contributed multiple works include Zenodo (CERN European Organization for Nuclear Research), Computing in Science & Engineering, arXiv (Cornell University), PLoS Biology, and AI Magazine.

Beth Plale has been recognized as an ACM Senior Member since 2006.

Best Publications

  • A survey of data provenance in e-science

    Yogesh L. Simmhan;Beth Plale;Dennis Gannon

  • The Open Provenance Model core specification (v1.1)

    Luc Moreau;Ben Clifford;Juliana Freire;Joe Futrelle

  • Special Issue: The First Provenance Challenge

    Luc Moreau;Bertram Ludäscher;Ilkay Altintas;Roger S. Barga

  • The First Provenance Challenge

    Luc Moreau;Bertram Ludaescher;Ilkay Altintas;Roger S. Barga

  • A survey of data provenance techniques

    Yogesh L. Simmhan;Beth Plale;Dennis Gannon

  • Karma2: Provenance Management for Data-Driven Workflows

    Yogesh L. Simmhan;Beth Plale;Dennis Gannon

  • A Framework for Collecting Provenance in Data-Centric Scientific Workflows

    Yogesh Simmhan;Beth Plale;Dennis Gannon

  • Service-Oriented Environments for Dynamically Interacting with Mesoscale Weather

    Kelvin K. Droegemeier;Dennis Gannon;Daniel Reed;Beth Plale

  • Survey of Publish Subscribe Event Systems

    Ying Liu;Beth Plale

  • Performance evaluation of the karma provenance framework for scientific workflows

    Yogesh L. Simmhan;Beth Plale;Dennis Gannon;Suresh Marru

  • CASA and LEAD: adaptive cyberinfrastructure for real-time multiscale weather forecasting

    B. Plale;D. Gannon;J. Brotzge;K. Droegemeier

  • Intelligent systems for geosciences: an essential research agenda

    Yolanda Gil;Suzanne A. Pierce;Hassan Babaie;Arindam Banerjee

  • Towards dynamically adaptive weather analysis and forecasting in LEAD

    Beth Plale;Dennis Gannon;Dan Reed;Sara Graves

  • What is cyberinfrastructure

    Craig A. Stewart;Stephen Simms;Beth Plale;Matthew Link

  • Dynamic querying of streaming data with the dQUOB system

    B. Plale;K. Schwan

  • Linked Environments for Atmospheric Discovery (LEAD): A cyberinfrastructure for mesoscale meteorology research and education

    Kelvin K. Droegemeier;V. Chandrasekar;Richard Clark;Dennis Gannon

  • A hierarchical framework for cross-domain MapReduce execution

    Yuan Luo;Zhenhua Guo;Yiming Sun;Beth Plale

  • Key Concepts and Services of a Grid Information Service

    B. Plale;Peter A. Dinda;G. von Laszewski

  • Query capabilities of the Karma provenance framework

    Yogesh L. Simmhan;Beth Plale;Dennis Gannon

  • dQCOB: managing large data flows using dynamic embedded queries

    B. Plale;K. Schwan

Frequent Co-Authors

Dennis Gannon
Dennis Gannon Indiana University
Yogesh Simmhan
Yogesh Simmhan Indian Institute of Science
Karsten Schwan
Karsten Schwan Georgia Institute of Technology
Marlon Pierce
Marlon Pierce Indiana University
Carole Goble
Carole Goble University of Manchester
Geoffrey C. Fox
Geoffrey C. Fox University of Virginia
Kelvin K. Droegemeier
Kelvin K. Droegemeier University of Oklahoma
Roger Barga
Roger Barga Microsoft (United States)
Daniel A. Reed
Daniel A. Reed University of Utah
David B. Leake
David B. Leake Indiana University

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