World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
62
Citations
19287
World Ranking
2856
National Ranking
1412

Yolanda Gil 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 Yolanda Gil 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: 331 publications — 79th percentile

79% of scientists in this discipline score the same or lower.

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

Yolanda Gil 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 Yolanda Gil 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: 62 D-Index — 80th percentile

80% 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

  • 2021 - IEEE Fellow For contributions to geoscience and scientific discovery with intelligent workflow systems
  • 2020 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2016 - ACM Fellow For leadership in advancing the use of artificial intelligence in support of science and for service to the community.
  • 2012 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to intelligent user interfaces, knowledge capture, representations for web-based science, and for leadership in the AI community.

Overview

Yolanda Gil is affiliated with the University of Southern California in the United States. Their research spans multiple interdisciplinary fields, with a particular focus on scientific computing, data management, and artificial intelligence applied to complex systems and environmental studies.

Their recent publications highlight significant contributions across various areas. Notable papers include:

  • ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries (2020, Translational Psychiatry)
  • Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making (2021, ACM Transactions on Interactive Intelligent Systems)
  • Pyleoclim: Paleoclimate Timeseries Analysis and Visualization With Python (2022, Paleoceanography and Paleoclimatology)
  • Sources of Irreproducibility in Machine Learning: A Review (2022, arXiv (Cornell University))
  • Predicting youth at high risk of aging out of foster care using machine learning methods (2021, Child Abuse & Neglect)

The scientist collaborates frequently with colleagues such as Daniel Garijo, Maximiliano Osorio, Deborah Khider, Varun Ratnakar, and Hernán Vargas. Their publications often appear in venues including arXiv (Cornell University), AI Magazine, Zenodo (CERN European Organization for Nuclear Research), Translational Psychiatry, and ACM Transactions on Interactive Intelligent Systems.

Yolanda Gil's research covers a substantial range of topics, including:

  • Scientific Computing and Data Management
  • Research Data Management Practices
  • Hydrology and Watershed Management Studies
  • Species Distribution and Climate Change
  • Atmospheric and Environmental Gas Dynamics
  • Explainable Artificial Intelligence (XAI)
  • Functional Brain Connectivity Studies

Their work intersects several subfields of study, notably Information Systems and Management, Artificial Intelligence, Global and Planetary Change, Molecular Biology, and Atmospheric Science.

Their contributions have been recognized with multiple fellowships and awards, including:

  • IEEE Fellow (2021) for contributions to geoscience and scientific discovery with intelligent workflow systems
  • Fellow of the American Association for the Advancement of Science (AAAS), 2020
  • ACM Fellow (2016) for leadership in advancing the use of artificial intelligence in support of science and community service
  • Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), 2012, for contributions to intelligent user interfaces, knowledge capture, web-based science representations, and leadership in the AI community

Best Publications

  • Pegasus: A framework for mapping complex scientific workflows onto distributed systems

    Ewa Deelman;Gurmeet Singh;Mei-Hui Su;James Blythe

  • A survey of trust in computer science and the Semantic Web

    Donovan Artz;Yolanda Gil

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

    Luc Moreau;Ben Clifford;Juliana Freire;Joe Futrelle

  • The genetic architecture of the human cerebral cortex

    Katrina L. Grasby;Neda Jahanshad;Jodie N. Painter;Lucía Colodro-Conde

  • Examining the Challenges of Scientific Workflows

    Y. Gil;E. Deelman;M. Ellisman;T. Fahringer

  • Pegasus: Mapping Scientific Workflows onto the Grid

    Ewa Deelman;James Blythe;Yolanda Gil;Carl Kesselman

  • Mapping Abstract Complex Workflows onto Grid Environments

    Ewa Deelman;James Blythe;Yolanda Gil;Carl Kesselman

  • The Semantic Web – ISWC 2005

    Yolanda Gil;Enrico Motta;V. Richard Benjamins;Mark A. Musen

  • Task scheduling strategies for workflow-based applications in grids

    J. Blythe;S. Jain;E. Deelman;Y. Gil

  • The cognitive atlas: toward a knowledge foundation for cognitive neuroscience.

    Russell A. Poldrack;Aniket Kittur;Donald Kalar;Eric Miller

  • Enhancing reproducibility for computational methods.

    Victoria Stodden;Marcia McNutt;David H. Bailey;Ewa Deelman

  • PRODIGY: an integrated architecture for planning and learning

    Jaime Carbonell;Oren Etzioni;Yolanda Gil;Robert Joseph

  • PROV-DM: The PROV Data Model

    Khalid Belhajjame;Reza B'Far;James Cheney;Sam Coppens

  • Explanation-based learning: a problem solving perspective

    Steven Minton;Jaime G. Carbonell;Craig A. Knoblock;Daniel R. Kuokka

  • 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

  • Wings: Intelligent Workflow-Based Design of Computational Experiments

    Yolanda Gil;Varun Ratnakar;Jihie Kim;Joshua Moody

  • Ten simple rules for the care and feeding of scientific data.

    Alyssa Goodman;Alberto Pepe;A.W. Alexander W. Blocker;C.L. Christine L. Borgman

  • Towards content trust of web resources

    Yolanda Gil;Donovan Artz

  • Artificial intelligence and grids: workflow planning and beyond

    Y. Gil;E. Deelman;J. Blythe;C. Kesselman

  • The Semantic Web - ISWC 2005: 4th International Semantic Web Conference, ISWC 2005, Galway, Ireland, November 6 - 10, 2005, Proceedings (Lecture Notes in Computer Science)

    Yolanda Gil;Enrico Motta;V. Richard Benjamins;Mark Musen

Frequent Co-Authors

Ewa Deelman
Ewa Deelman University of Southern California
Jim Blythe
Jim Blythe University of Southern California
Paul Groth
Paul Groth University of Amsterdam
Carl Kesselman
Carl Kesselman University of Southern California
Craig A. Knoblock
Craig A. Knoblock University of Southern California
Karan Vahi
Karan Vahi University of Southern California
Gaurang Mehta
Gaurang Mehta University of Southern California
Oscar Corcho
Oscar Corcho Technical University of Madrid
Carole Goble
Carole Goble University of Manchester
Christopher J. Duffy
Christopher J. Duffy Pennsylvania State University

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