World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
13997
World Ranking
4033
National Ranking
1923

Henri Casanova 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 Henri Casanova 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: 233 publications — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Henri Casanova 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 Henri Casanova 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: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Overview

Henri Casanova is affiliated with the University of Hawaii at Manoa in the United States and has contributed extensively to the fields of computer science and decision sciences. Their research focuses primarily on computer networks and communications, information systems and management, hardware and architecture, and operations research.

The scientist's work spans several topics that include distributed and parallel computing systems, scientific computing and data management, cloud computing and resource management, as well as advanced data storage technologies. Additional research topics also cover research data management practices, parallel computing and optimization techniques, and simulation techniques and applications.

Some of Henri Casanova's recent publications include:

  • Developing accurate and scalable simulators of production workflow management systems with WRENCH (2020), Future Generation Computer Systems
  • Workflows Community Summit: Bringing the Scientific Workflows Community Together (2021), arXiv (Cornell University)
  • Characterizing, Modeling, and Accurately Simulating Power and Energy Consumption of I/O-intensive Scientific Workflows (2020), Journal of Computational Science
  • Workflows Community Summit 2022: A Roadmap Revolution (2023), arXiv (Cornell University)
  • Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development (2021), arXiv (Cornell University)

Frequent co-authors collaborating with Casanova include Rafael Ferreira da Silva, Tainã Coleman, Frédéric Suter, Kyle Chard, and Shantenu Jha.

Henri Casanova's research is commonly published in venues such as arXiv (Cornell University), Future Generation Computer Systems, SSRN Electronic Journal, Journal of Computational Science, and Parallel Computing. These outlets reflect the breadth of their specialization across theoretical and applied domains in computing.

Best Publications

  • NetSolve: a network server for solving computational science problems

    Henri Casanova;Jack Dongarra

  • Heuristics for scheduling parameter sweep applications in grid environments

    H. Casanova;A. Legrand;D. Zagorodnov;F. Berman

  • Adaptive computing on the Grid using AppLeS

    F. Berman;R. Wolski;H. Casanova;W. Cirne

  • Simgrid: a toolkit for the simulation of application scheduling

    H. Casanova

  • SimGrid: A Generic Framework for Large-Scale Distributed Experiments

    Henri Casanova;Arnaud Legrand;Martin Quinson

  • The AppLeS Parameter Sweep Template: User-Level Middleware for the Grid

    H. Casanova;F. Berman;G. Obertelli;R. Wolski

  • Scheduling distributed applications: the SimGrid simulation framework

    A. Legrand;L. Marchal;H. Casanova

  • Versatile, Scalable, and Accurate Simulation of Distributed Applications and Platforms

    Henri Casanova;Arnaud Giersch;Arnaud Legrand;Martin Quinson

  • Netsolve: a Network-Enabled Server for Solving Computational Science Problems

    Henri Casanova;Jack Dongarra

  • The AppLeS Parameter Sweep Template: User-Level Middleware for the Grid

    Unknown

  • Overview of GridRPC: A Remote Procedure Call API for Grid Computing

    Keith Seymour;Hidemoto Nakada;Hidemoto Nakada;Satoshi Matsuoka;Satoshi Matsuoka;Jack Dongarra

  • Resource allocation algorithms for virtualized service hosting platforms

    Mark Stillwell;David Schanzenbach;Frédéric Vivien;Henri Casanova

  • Characterizing and evaluating desktop grids: an empirical study

    D. Kondo;M. Taufer;C.L. Brooks;H. Casanova

  • Scheduling divisible loads on star and tree networks: results and open problems

    O. Beaumont;H. Casanova;A. Legrand;Y. Robert

  • New grid scheduling and rescheduling methods in the GrADS project

    F. Berman;H. Casanova;A. Chien;K. Cooper

  • Resource Management for Rapid Application Turnaround on Enterprise Desktop Grids

    Derrick Kondo;Andrew A. Chien;Henri Casanova

  • A case for random shortcut topologies for HPC interconnects

    Michihiro Koibuchi;Hiroki Matsutani;Hideharu Amano;D. Frank Hsu

  • A study of deadline scheduling for client-server systems on the Computational Grid

    A. Takefusa;H. Casanova;S. Matsuoka;F. Berman

  • Distributed computing research issues in grid computing

    Henri Casanova

  • New grid scheduling and rescheduling methods in the GrADS project

    K. Cooper;A. Dasgupta;K. Kennedy;C. Koelbel

  • GridRPC: A Remote Procedure Call API for Grid Computing

    Keith Seymour;Hidemoto Nakada;Satoshi Matsuoka;Jack Dongarra

Frequent Co-Authors

Jack Dongarra
Jack Dongarra University of Tennessee at Knoxville
Francine Berman
Francine Berman Rensselaer Polytechnic Institute
Yves Robert
Yves Robert École Normale Supérieure de Lyon
Andrew A. Chien
Andrew A. Chien University of Chicago
James S. Plank
James S. Plank University of Tennessee at Knoxville
Rich Wolski
Rich Wolski University of California, Santa Barbara
Derrick Kondo
Derrick Kondo French Institute for Research in Computer Science and Automation - INRIA
Franck Cappello
Franck Cappello Argonne National Laboratory
Jeanne Ferrante
Jeanne Ferrante University of California, San Diego

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