World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
30
Citations
6974
World Ranking
13867
National Ranking
5511

Ilkay Altintas 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 Ilkay Altintas 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: 192 publications — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Ilkay Altintas 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 Ilkay Altintas 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: 30 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Overview

Ilkay Altintas is affiliated with the University of California, San Diego in the United States. Their research spans multiple fields with a focus on environmental science and computer science. They have contributed notably to areas involving global and planetary change, information systems, management, computer networks, and safety and risk assessment.

The main fields of study for Ilkay Altintas are:

  • Environmental Science
  • Computer Science

Within these fields, their work covers several important subfields:

  • Global and Planetary Change
  • Information Systems and Management
  • Information Systems
  • Computer Networks and Communications
  • Safety, Risk, Reliability and Quality

Their research topics focus on:

  • Fire effects on ecosystems
  • Scientific Computing and Data Management
  • Research Data Management Practices
  • Landslides and related hazards
  • Distributed and Parallel Computing Systems
  • Fire Detection and Safety Systems
  • Cloud Computing and Resource Management

Altintas has published extensively in several venues, frequently appearing in:

  • arXiv (Cornell University)
  • Earth and Space Science
  • Computing in Science & Engineering
  • Scientific Reports
  • Remote Sensing

Some recent papers by Ilkay Altintas include:

  • Detection of COVID-19 using multimodal data from a wearable device: results from the first TemPredict Study, 2022, Scientific Reports
  • FIgLib & SmokeyNet: Dataset and Deep Learning Model for Real-Time Wildland Fire Smoke Detection, 2022, Remote Sensing
  • Integrating plant physiology into simulation of fire behavior and effects, 2023, New Phytologist
  • Workflows Community Summit: Bringing the Scientific Workflows Community Together, 2021, arXiv (Cornell University)
  • Expanse: Computing without Boundaries, 2021, Practice and Experience in Advanced Research Computing

Frequent collaborators of Ilkay Altintas include:

  • Amarnath Gupta
  • Subhasis Dasgupta
  • Shweta Purawat
  • Ashley E. Mason
  • Benjamin L. Smarr

Best Publications

  • Scientific Workflow Management and the Kepler System

    Bertram Ludäscher;Bertram Ludäscher;Ilkay Altintas;Chad Berkley;Dan Higgins

  • Kepler: an extensible system for design and execution of scientific workflows

    I. Altintas;C. Berkley;E. Jaeger;M. Jones

  • Provenance collection support in the kepler scientific workflow system

    Ilkay Altintas;Oscar Barney;Efrat Jaeger-Frank

  • Community cyberinfrastructure for Advanced Microbial Ecology Research and Analysis: the CAMERA resource

    Shulei Sun;Jing Chen;Weizhong Li;Ilkay Altintas

  • Scientific workflow management and the Kepler system: Research Articles

    Bertram Ludäscher;Ilkay Altintas;Chad Berkley;Dan Higgins

  • 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

  • The future of scientific workflows

    Ewa Deelman;Tom Peterka;Ilkay Altintas;Christopher D. Carothers

  • Kepler + Hadoop: a general architecture facilitating data-intensive applications in scientific workflow systems

    Jianwu Wang;Daniel Crawl;Ilkay Altintas

  • Ten simple rules for writing and sharing computational analyses in Jupyter Notebooks.

    Adam Rule;Amanda Birmingham;Cristal Zuniga;Ilkay Altintas

  • Workflows and extensions to the Kepler scientific workflow system to support environmental sensor data access and analysis

    Derik Barseghian;Ilkay Altintas;Matthew B. Jones;Daniel Crawl

  • A framework for the design and reuse of grid workflows

    Ilkay Altintas;Adam Birnbaum;Kim K. Baldridge;Wibke Sudholt

  • Scientific Process Automation and Workflow Management

    Bertram Ludäscher;Ilkay Altintas;Shawn Bowers;Julian Cummings

  • Big data provenance: Challenges, state of the art and opportunities

    Jianwu Wang;Daniel Crawl;Shweta Purawat;Mai Nguyen

  • From molecule to man: Decision support in individualized E-health

    P.M.A. Sloot;A. Tirado-Ramos;I. Altintas;M. Bubak

  • Nimrod/K: towards massively parallel dynamic grid workflows

    David Abramson;Colin Enticott;Ilkay Altinas

  • Heterogeneous composition of models of computation

    Antoon Goderis;Christopher Brooks;Ilkay Altintas;Edward A. Lee

  • A Provenance-Based Fault Tolerance Mechanism for Scientific Workflows

    Daniel Crawl;Ilkay Altintas

  • A scientific workflow approach to distributed geospatial data processing using web services

    Efrat Jaeger;Ilkay Altintas;Jianting Zhang;Bertram Ludäscher

  • Workflow as a Service in the Cloud: Architecture and Scheduling Algorithms.

    Jianwu Wang;Prakashan Korambath;Ilkay Altintas;Jim Davis

  • Compiling abstract scientific workflows into Web service workflows

    B. Ludascher;I. Altintas;A. Gupta

  • A modeling and execution environment for distributed scientific workflows

    I. Altintas;S. Bhagwanani;D. Buttler;S. Chandra

  • FIgLib & SmokeyNet: Dataset and Deep Learning Model for Real-Time Wildland Fire Smoke Detection

    Unknown

  • Linking multiple workflow provenance traces for interoperable collaborative science

    Paolo Missier;Bertram Ludascher;Shawn Bowers;Saumen Dey

  • Scientific Data Analysis.

    Chandrika Kamath;Nikil Wale;George Karypis;Gaurav Pandey

Frequent Co-Authors

Bertram Ludäscher
Bertram Ludäscher University of Illinois at Urbana-Champaign
Carole Goble
Carole Goble University of Manchester
Shawn Bowers
Shawn Bowers Gonzaga University
Mladen A. Vouk
Mladen A. Vouk North Carolina State University
Peter M. A. Sloot
Peter M. A. Sloot University of Amsterdam
Paolo Missier
Paolo Missier Newcastle University
Amarnath Gupta
Amarnath Gupta University of California, San Diego
Ewa Deelman
Ewa Deelman University of Southern California
Norbert Podhorszki
Norbert Podhorszki Oak Ridge National Laboratory
Mark H. Ellisman
Mark H. Ellisman University of California, San Diego

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