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Computer Science
Spain
2025

D-Index & Metrics

Computer Science

D-Index
57
Citations
12984
World Ranking
3845
National Ranking
52

Jesús Labarta 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 Jesús Labarta 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: 425 publications — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Jesús Labarta 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 Jesús Labarta 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: 57 D-Index — 74th percentile

74% 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

  • 2025 - Research.com Computer Science in Spain Leader Award
  • 2022 - Research.com Computer Science in Spain Leader Award
  • 2017 - ACM - IEEE CS Ken Kennedy Award For his contributions to programming models and performance analysis tools for High Performance Computing.

Overview

Jesús Labarta is affiliated with the Barcelona Supercomputing Center in Spain. Their research primarily falls within the field of Computer Science, with a concentration on Hardware and Architecture, Computer Networks and Communications, and Computer Vision and Pattern Recognition as key subfields.

The main topics covered by their work include Parallel Computing and Optimization Techniques, Embedded Systems Design Techniques, Distributed and Parallel Computing Systems, Interconnection Networks and Systems, Cloud Computing and Resource Management, Numerical Methods and Algorithms, and Advanced Data Storage Technologies.

Among Jesús Labarta's frequent publication venues are arXiv (Cornell University), SSRN Electronic Journal, IEEE Transactions on Computers, Clinical Ophthalmology, and Journal of Parallel and Distributed Computing.

Their coauthors with frequent collaborations include Filippo Mantovani, Eduard Ayguadé, Pablo Vizcaíno, Xavier Martorell, and Roger Ferrer.

Notable recent papers authored or coauthored by Jesús Labarta include:

  • Artificial Intelligence to Identify Retinal Fundus Images, Quality Validation, Laterality Evaluation, Macular Degeneration, and Suspected Glaucoma, 2020, Clinical Ophthalmology
  • sLASs: A fully automatic auto-tuned linear algebra library based on OpenMP extensions implemented in OmpSs (LASs Library), 2020, Journal of Parallel and Distributed Computing
  • OmpSs@FPGA framework for high performance FPGA computing, 2021, IEEE Transactions on Computers
  • Acceleration with long vector architectures: Implementation and evaluation of the FFT kernel on NEC SX-Aurora and RISC-V vector extension, 2022, Concurrency and Computation Practice and Experience
  • Asymmetric HMMs for Online Ball-Bearing Health Assessments, 2022, IEEE Internet of Things Journal

Jesús Labarta has received the ACM - IEEE CS Ken Kennedy Award in 2017 for contributions to programming models and performance analysis tools for High Performance Computing.

Best Publications

  • The International Exascale Software Project roadmap

    Jack Dongarra;Pete Beckman;Terry Moore;Patrick Aerts

  • OmpSs: A proposal for programming heterogeneous multi-core architectures

    Alejandro Duran;Eduard Ayguadé;Rosa M. Badia;Rosa M. Badia;Jesús Labarta

  • CellSs: a programming model for the cell BE architecture

    Pieter Bellens;Josep M. Perez;Rosa M. Badia;Jesus Labarta

  • PARAVER: A Tool to Visualize and Analyze Parallel Code

    Vincent Pillet;Jes us Labarta;Toni Cortes;Sergi Girona

  • A Framework for Performance Modeling and Prediction

    Allan Snavely;Laura Carrington;Nicole Wolter;Jesus Labarta

  • A dependency-aware task-based programming environment for multi-core architectures

    J.M. Perez;R.M. Badia;J. Labarta

  • Hierarchical Task-Based Programming With StarSs

    Judit Planas;Rosa M. Badia;Eduard Ayguadé;Jesus Labarta

  • Productive Programming of GPU Clusters with OmpSs

    Javier Bueno;Judit Planas;Alejandro Duran;Rosa M. Badia

  • DiP: A Parallel Program Development Environment

    Jesús Labarta;Sergi Girona;Vincent Pillet;Toni Cortes

  • An Extension of the StarSs Programming Model for Platforms with Multiple GPUs

    Eduard Ayguadé;Rosa M. Badia;Francisco D. Igual;Jesús Labarta

  • PyCOMPSs: Parallel computational workflows in Python:

    Enric Tejedor;Yolanda Becerra;Guillem Alomar;Anna Queralt

  • Task Superscalar: An Out-of-Order Task Pipeline

    Yoav Etsion;Felipe Cabarcas;Alejandro Rico;Alex Ramirez

  • Nanos mercurium: A research compiler for OpenMP

    J. Balart;A. Duran;M. Gon;X. Martorell

  • CellSs: making it easier to program the cell broadband engine processor

    J. P. Perez;P. Bellens;R. M. Badia;J. Labarta

  • Productive cluster programming with OmpSs

    Javier Bueno;Luis Martinell;Alejandro Duran;Montse Farreras

  • Fluid communities: a competitive, scalable and diverse community detection algorithm

    Ferran Parés;Dario Garcia Gasulla;Armand Vilalta;Jonatan Moreno

  • Programming Grid Applications with GRID superscalar

    Rosa M. Badia;Jesús Labarta;Raül Sirvent;Josep M. Pérez

  • Overlapping communication and computation by using a hybrid MPI/SMPSs approach

    Vladimir Marjanović;Jesús Labarta;Eduard Ayguadé;Mateo Valero

  • Extending the OpenMP tasking model to allow dependent tasks

    Alejandro Duran;Josep M. Perez;Eduard Ayguadé;Rosa M. Badia

  • Validation of Dimemas Communication Model for MPI Collective Operations

    Sergi Girona;Jesús Labarta;Rosa M. Badia

  • Thread fork/join techniques for multi-level parallelism exploitation in NUMA multiprocessors

    Xavier Martorell;Eduard Ayguadé;Nacho Navarro;Julita Corbalán

Frequent Co-Authors

Eduard Ayguadé
Eduard Ayguadé Barcelona Supercomputing Center
Rosa M. Badia
Rosa M. Badia Barcelona Supercomputing Center
Xavier Martorell
Xavier Martorell Universitat Politècnica de Catalunya
Mateo Valero
Mateo Valero Barcelona Supercomputing Center
Ulises Cortés
Ulises Cortés Universitat Politècnica de Catalunya
Jordi Torres
Jordi Torres Universitat Politècnica de Catalunya
Osman Unsal
Osman Unsal Barcelona Supercomputing Center
Alex Ramirez
Alex Ramirez Google (United States)
Constantine D. Polychronopoulos
Constantine D. Polychronopoulos University of Illinois at Urbana-Champaign

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