World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
4023
World Ranking
12284
National Ranking
221

Jose Flich 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 Jose Flich 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: 221 publications — 54th percentile

54% of scientists in this discipline score the same or lower.

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

Jose Flich 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 Jose Flich 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: 34 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

Jose Flich is affiliated with the Universitat Politècnica de València in Spain. Their research spans multiple domains within Computer Science and Engineering, with a notable focus on Electrical and Electronic Engineering, Hardware and Architecture, and Computer Networks and Communications. Other areas of interest include Computer Vision and Pattern Recognition as well as Artificial Intelligence.

Their work encompasses a wide range of topics, including:

  • Parallel Computing and Optimization Techniques
  • Advanced Neural Network Applications
  • Interconnection Networks and Systems
  • Distributed and Parallel Computing Systems
  • Advanced Data Storage Technologies
  • Radiation Effects in Electronics
  • Adversarial Robustness in Machine Learning

Jose Flich's recent scholarly contributions include publications in various peer-reviewed venues. Selected papers include:

  • "Enabling dynamic and intelligent workflows for HPC, data analytics, and AI convergence," 2022, published in Future Generation Computer Systems
  • "The RECIPE approach to challenges in deeply heterogeneous high performance systems," 2020, published in Microprocessors and Microsystems
  • "Enforcing Predictability of Many-Cores With DCFNoC," 2020, published in IEEE Transactions on Computers
  • "Efficient Inference Of Image-Based Neural Network Models In Reconfigurable Systems With Pruning And Quantization," 2022, presented at the 2022 IEEE International Conference on Image Processing (ICIP)
  • "HPC Platform for Railway Safety-Critical Functionalities Based on Artificial Intelligence," 2023, published in Applied Sciences

Their frequent co-authors include Carles Hernández, Laura Medina, Tomás Picornell, Enrique S. Quintana-Ortí, and J. Duato.

Jose Flich has published multiple works in venues such as The Journal of Supercomputing, arXiv (Cornell University), Future Generation Computer Systems, Microprocessors and Microsystems, and Applied Sciences.

Best Publications

  • Segment-based routing: an efficient fault-tolerant routing algorithm for meshes and tori

    A. Mejia;J. Flich;J. Duato;Sven-Arne Reinemo

  • A new scalable and cost-effective congestion management strategy for lossless multistage interconnection networks

    J. Duato;I. Johnson;J. Flich;F. Naven

  • A Survey and Evaluation of Topology-Agnostic Deterministic Routing Algorithms

    J. Flich;T. Skeie;A. Mejia;O. Lysne

  • Efficient implementation of distributed routing algorithms for NoCs

    Samuel Rodrigo;Simone Medardoni;José Flich;Davide Bertozzi

  • Addressing Manufacturing Challenges with Cost-Efficient Fault Tolerant Routing

    S. Rodrigo;J. Flich;A. Roca;S. Medardoni

  • A routing methodology for achieving fault tolerance in direct networks

    M.E. Gomez;N.A. Nordbotten;J. Flich;P. Lopez

  • Efficient unicast and multicast support for CMPs

    Samuel Rodrigo;Jose Flich;Jose Duato;Mark Hummel

  • Logic-Based Distributed Routing for NoCs

    J. Flich;J. Duato

  • Designing Network On-Chip Architectures in the Nanoscale Era

    Jose Flich;Davide Bertozzi

  • Region-Based Routing: An Efficient Routing Mechanism to Tackle Unreliable Hardware in Network on Chips

    J. Flich;A. Mejia;P. Lopez;J. Duato

  • Path-Based Partitioning Methods for 3D Networks-on-Chip with Minimal Adaptive Routing

    Masoumeh Ebrahimi;Masoud Daneshtalab;Pasi Liljeberg;Juha Plosila

  • Region-Based Routing: A Mechanism to Support Efficient Routing Algorithms in NoCs

    A. Mejia;M. Palesi;J. Flich;S. Kumar

  • An Efficient Implementation of Distributed Routing Algorithms for NoCs

    J. Flich;S. Rodrigo;J. Duato

  • An Efficient Fault-Tolerant Routing Methodology for Meshes and Tori

    M.E. Gomez;J. Duato;J. Flich;P. Lopez

  • An Efficient and Deadlock-Free Network Reconfiguration Protocol

    O. Lysne;J.M. Montanana;J. Flich;J. Duato

  • Dynamic evolution of congestion trees: analysis and impact on switch architecture

    P. J. García;J. Flich;J. Duato;I. Johnson

  • Efficient, Scalable Congestion Management for Interconnection Networks

    P.J. Garcia;F.J. Quiles;J. Flich;J. Duato

  • Buffer Management Strategies to Reduce HoL Blocking

    Teresa Nachiondo;Jose Flich;Jose Duato

  • LASH-TOR: a generic transition-oriented routing algorithm

    T. Skeie;O. Lysne;J. Flich;P. Lopez

  • Deadlock-free routing in InfiniBand/sup TM/ through destination renaming

    P. Lopez;J. Flich;J. Duato

Frequent Co-Authors

José Duato
José Duato Universitat Politècnica de València
Pedro López
Pedro López Universitat Politècnica de València
Timothy Mark Pinkston
Timothy Mark Pinkston University of Southern California
Davide Bertozzi
Davide Bertozzi University of Ferrara
David Atienza
David Atienza École Polytechnique Fédérale de Lausanne
Maurizio Palesi
Maurizio Palesi University of Catania
Manoj Singh Gaur
Manoj Singh Gaur Indian Institute of Technology Jammu
Andre Ivanov
Andre Ivanov University of British Columbia
Partha Pratim Pande
Partha Pratim Pande Washington State University
Hannu Tenhunen
Hannu Tenhunen Royal Institute of Technology

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