World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
10605
World Ranking
7100
National Ranking
3116

Daniel S. Katz 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 Daniel S. Katz 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: 320 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Daniel S. Katz 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 Daniel S. Katz 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.

Research.com Recognitions

  • 2011 - ACM Senior Member

Overview

Daniel S. Katz is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research spans multiple fields related to computer science and decision sciences, with significant focus on scientific computing, data management, and software engineering.

The main fields of study for Daniel S. Katz include:

  • Computer Science
  • Decision Sciences

More specifically, their work covers the following subfields of study:

  • Information Systems and Management
  • Information Systems
  • Computer Networks and Communications
  • Management Science and Operations Research
  • Artificial Intelligence

Key research topics addressed by their publications include:

  • Scientific Computing and Data Management
  • Research Data Management Practices
  • Distributed and Parallel Computing Systems
  • Data Quality and Management
  • Advanced Data Storage Technologies
  • Software Engineering Research
  • Cloud Computing and Resource Management

Their recent publications encompass a range of contributions, for example:

  • "Introducing the FAIR Principles for research software," 2022, Scientific Data
  • "Taking a fresh look at FAIR for research software," 2021, Patterns
  • "FAIR for AI: An interdisciplinary and international community building perspective," 2023, Scientific Data
  • "Recognizing the value of software: a software citation guide," 2021, F1000Research
  • "Convergence of artificial intelligence and high performance computing on NSF-supported cyberinfrastructure," 2020, Journal Of Big Data

They have published extensively in venues such as:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Computing in Science & Engineering
  • Scientific Data
  • F1000Research

Frequent co-authors contributing to their research include:

  • Neil Chue Hong
  • Deborah Silver
  • Saurabh Bagchi
  • Cyril Onwubiko
  • Michelle Barker

Over the course of their career, Daniel S. Katz has been recognized as an ACM Senior Member since 2011.

Best Publications

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

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

  • Validation and extension to three dimensions of the Berenger PML absorbing boundary condition for FD-TD meshes

    D.S. Katz;E.T. Thiele;A. Taflove

  • Swift: A language for distributed parallel scripting

    Michael Wilde;Mihael Hategan;Justin M. Wozniak;Ben Clifford

  • Parsl: Pervasive Parallel Programming in Python

    Yadu Babuji;Anna Woodard;Zhuozhao Li;Daniel S. Katz

  • A Component Architecture for High-Performance Scientific Computing

    Benjamin A. Allan;Robert Armstrong;David E. Bernholdt;Felipe Bertrand

  • A multi-disciplinary perspective on emergent and future innovations in peer review

    Jonathan P. Tennant;Jonathan M. Dugan;Daniel Graziotin;Damien C. Jacques

  • Montage: A grid enabled engine for delivering custom science-grade mosaics on demand

    G. Bruce Berriman;Ewa Deelman;John C. Good;Joseph C. Jacob

  • Software Citation Principles

    Arfon M. Smith;Daniel S. Katz;Kyle E. Niemeyer

  • Swift/T: Large-scale application composition via distributed-memory dataflow processing

    Justin M. Wozniak;Timothy G. Armstrong;Michael Wilde;Daniel S. Katz

  • Montage: a grid portal and software toolkit for science-grade astronomical image mosaicking

    Joseph C. Jacob;Daniel S. Katz;G. Bruce Berriman;John C. Good

  • A Roadmap for HEP Software and Computing R&D for the 2020s

    Johannes Albrecht;Antonio Augusto Alves;Guilherme Amadio;Giuseppe Andronico

  • Ten Simple Rules for Taking Advantage of Git and GitHub.

    Yasset Perez-Riverol;Laurent Gatto;Rui Wang;Timo Sachsenberg

  • Four simple recommendations to encourage best practices in research software

    Rafael C. Jiménez;Mateusz Kuzak;Monther Alhamdoosh;Michelle Barker

  • Workflow task clustering for best effort systems with Pegasus

    Gurmeet Singh;Mei-Hui Su;Karan Vahi;Ewa Deelman

  • The Journal of Open Source Software

    Arfon Smith;Lorena A. Barba;George Githinji;Melissa Gymrek

  • Crops In Silico: Generating Virtual Crops Using an Integrative and Multi-scale Modeling Platform

    Amy Marshall-Colon;Stephen P Long;Douglas K. Allen;Gabrielle Dawn Allen

  • Ultrawideband absorbing boundary condition for termination of waveguiding structures in FD-TD simulations

    C.E. Reuter;R.M. Joseph;E.T. Thiele;D.S. Katz

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

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

  • Montage: A Grid Enabled Image Mosaic Service for the National Virtual Observatory

    G. B. Berriman;J. C. Good;A. C. Laity;A. Bergou

  • Trends in Authorship in Anesthesiology Journals.

    Joanna Miller;Emuejevoke Chuba;Stacie Deiner;Samuel DeMaria

  • A roadmap for HEP software and computing R&D for the 2020s

    Johannes Albrecht;Antonio Augusto Alves;Guilherme Amadio;Giuseppe Andronico

  • Ten Simple Rules for Taking Advantage of Git and GitHub

    Yasset Perez-Riverol;Laurent Gatto;Rui Wang;Timo Sachsenberg

Frequent Co-Authors

Shantenu Jha
Shantenu Jha Rutgers, The State University of New Jersey
Michael Wilde
Michael Wilde Argonne National Laboratory
Ian Foster
Ian Foster University of Chicago
Ewa Deelman
Ewa Deelman University of Southern California
Kyle Chard
Kyle Chard University of Chicago
Omer F. Rana
Omer F. Rana Cardiff University
Carl Kesselman
Carl Kesselman University of Southern California
Manish Parashar
Manish Parashar University of Utah
Christopher R. Madan
Christopher R. Madan University of Nottingham
Edward Seidel
Edward Seidel University of Wyoming

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