World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
62
Citations
16388
World Ranking
2887
National Ranking
1421

Franck Cappello 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 Franck Cappello 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: 333 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.

Franck Cappello 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 Franck Cappello 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

  • 2017 - IEEE Fellow For contributions to high-performance computing, fault tolerance, and grid-based computing

Overview

Franck Cappello is affiliated with Argonne National Laboratory in the United States. Their research predominantly lies within the field of Computer Science, with a total of 161 publications. The subfields they focus on include Computer Networks and Communications, Artificial Intelligence, Hardware and Architecture, Computer Vision and Pattern Recognition, and Information Systems and Management.

The main topics explored in their work encompass Advanced Data Storage Technologies, Parallel Computing and Optimization Techniques, Algorithms and Data Compression, Distributed and Parallel Computing Systems, Advanced Data Compression Techniques, Scientific Computing and Data Management, and Image and Signal Denoising Methods.

Franck Cappello's recent publications include the following papers:

  • "SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors," 2022, published in IEEE Transactions on Big Data
  • "Algorithm-Based Fault Tolerance for Convolutional Neural Networks," 2020, published in IEEE Transactions on Parallel and Distributed Systems
  • "Improving Prediction-Based Lossy Compression Dramatically via Ratio-Quality Modeling," 2022, published in 2022 IEEE 38th International Conference on Data Engineering (ICDE)
  • "Toward Quantity-of-Interest Preserving Lossy Compression for Scientific Data," 2022, published in Proceedings of the VLDB Endowment
  • "High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation," 2024, published in Proceedings of the ACM on Management of Data

The scientist frequently collaborates with several co-authors, among whom notable ones include:

  • Sheng Di (46 collaborations)
  • Kai Zhao (29 collaborations)
  • Dingwen Tao (25 collaborations)
  • Xin Liang (24 collaborations)
  • Robert Underwood (20 collaborations)

Franck Cappello's research has been disseminated in numerous publication venues. They have a significant number of works published in arXiv (Cornell University) with 44 publications, followed by IEEE Transactions on Parallel and Distributed Systems with 5 publications. Other frequent venues include The International Journal of High Performance Computing Applications (4 publications), Proceedings of the ACM on Management of Data (2 publications), and the 2022 IEEE 38th International Conference on Data Engineering (ICDE) (2 publications).

In recognition of their contributions within the scientific community, Franck Cappello was named an IEEE Fellow in 2017 for their work related to high-performance computing, fault tolerance, and grid-based computing.

Best Publications

  • The International Exascale Software Project roadmap

    Jack Dongarra;Pete Beckman;Terry Moore;Patrick Aerts

  • Grid'5000: A Large Scale And Highly Reconfigurable Experimental Grid Testbed

    Raphaël Bolze;Franck Cappello;Eddy Caron;Michel Daydé

  • XtremWeb: a generic global computing system

    G. Fedak;C. Germain;V. Neri;F. Cappello

  • Cost-benefit analysis of Cloud Computing versus desktop grids

    Derrick Kondo;Bahman Javadi;Paul Malecot;Franck Cappello

  • Addressing failures in exascale computing

    Marc Snir;Robert W Wisniewski;Jacob A Abraham;Sarita V Adve

  • MPICH-V: Toward a Scalable Fault Tolerant MPI for Volatile Nodes

    George Bosilca;Aurelien Bouteiller;Franck Cappello;Samir Djilali

  • Fast Error-Bounded Lossy HPC Data Compression with SZ

    Sheng Di;Franck Cappello

  • Toward Exascale Resilience

    Franck Cappello;Al Geist;Bill Gropp;Laxmikant Kale

  • FTI: high performance fault tolerance interface for hybrid systems

    Leonardo Bautista-Gomez;Seiji Tsuboi;Dimitri Komatitsch;Franck Cappello

  • Toward Exascale Resilience: 2014 Update

    Franck Cappello;Geist Al;William Gropp;Sanjay Kale

  • Computing on large-scale distributed systems: Xtrem Web architecture, programming models, security, tests and convergence with grid

    Franck Cappello;Samir Djilali;Gilles Fedak;Thomas Herault

  • MPI versus MPI+OpenMP on the IBM SP for the NAS Benchmarks

    Franck Cappello;Daniel Etiemble

  • Grid'5000: A Large Scale and Highly Reconfigurable Grid Experimental Testbed

    F. Cappello;E. Caron;M. Dayde;F. Desprez

  • Fault Tolerance in Petascale/ Exascale Systems: Current Knowledge, Challenges and Research Opportunities

    Franck Cappello

  • Significantly Improving Lossy Compression for Scientific Data Sets Based on Multidimensional Prediction and Error-Controlled Quantization

    Dingwen Tao;Sheng Di;Zizhong Chen;Franck Cappello;Franck Cappello

  • MPICH-V2: a Fault Tolerant MPI for Volatile Nodes based on Pessimistic Sender Based Message Logging

    Aurélien Bouteiller;Franck Cappello;Thomas Herault;Géraud Krawezik

  • Grid'5000: a large scale, reconfigurable, controlable and monitorable Grid platform

    Franck Cappello;Frédéric Desprez;Michel Dayde;Emmanuel Jeannot

  • Error-Controlled Lossy Compression Optimized for High Compression Ratios of Scientific Datasets

    Xin Liang;Sheng Di;Dingwen Tao;Sihuan Li

  • MPICH-V Project: A Multiprotocol Automatic Fault-Tolerant MPI

    A. Bouteiller;T. Herault;G. Krawezik;P. Lemarinier

  • Uncoordinated Checkpointing Without Domino Effect for Send-Deterministic MPI Applications

    Amina Guermouche;Thomas Ropars;Elisabeth Brunet;Marc Snir

Frequent Co-Authors

Thomas Herault
Thomas Herault University of Tennessee at Knoxville
Marc Snir
Marc Snir University of Illinois at Urbana-Champaign
Yves Robert
Yves Robert École Normale Supérieure de Lyon
Derrick Kondo
Derrick Kondo French Institute for Research in Computer Science and Automation - INRIA
Jack Dongarra
Jack Dongarra University of Tennessee at Knoxville
Jesús Labarta
Jesús Labarta Barcelona Supercomputing Center
George Bosilca
George Bosilca University of Tennessee at Knoxville
Frederic T. Chong
Frederic T. Chong University of Chicago
Henri Casanova
Henri Casanova University of Hawaii at Manoa

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