World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
5844
World Ranking
9830
National Ranking
155

Xavier Costa-Perez 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 Xavier Costa-Perez 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: 122 publications — 16th percentile

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

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

Xavier Costa-Perez 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 Xavier Costa-Perez 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Xavier Costa-Perez is affiliated with the Institució Catalana de Recerca i Estudis Avançats in Spain. Their research spans areas within engineering and computer science, with a focus on computer networks and communications as well as electrical and electronic engineering.

Their work concentrates on multiple specialized topics including software-defined networks and 5G, advanced wireless communication technologies, and IoT and edge/fog computing. Further areas of study encompass advanced MIMO systems optimization, advanced antenna and metasurface technologies, indoor and outdoor localization technologies, and wireless body area networks.

Recent publications by Xavier Costa-Perez include:

  • "O-RAN: Disrupting the Virtualized RAN Ecosystem" (2021) in IEEE Communications Standards Magazine
  • "Adversarial Attacks Against Deep Learning-Based Network Intrusion Detection Systems and Defense Mechanisms" (2022) in IEEE/ACM Transactions on Networking
  • "Zero Touch Management: A Survey of Network Automation Solutions for 5G and 6G Networks" (2022) in IEEE Communications Surveys & Tutorials
  • "RISMA: Reconfigurable Intelligent Surfaces Enabling Beamforming for IoT Massive Access" (2020) in IEEE Journal on Selected Areas in Communications
  • "5Growth: An End-to-End Service Platform for Automated Deployment and Management of Vertical Services over 5G Networks" (2021) in IEEE Communications Magazine

Their frequent co-authors are:

  • Vincenzo Sciancalepore
  • Andrés García-Saavedra
  • Jose A. Ayala-Romero
  • Albert Banchs
  • Francesco Devoti

Xavier Costa-Perez has published extensively in venues such as:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Open Journal of the Communications Society
  • IEEE Transactions on Mobile Computing
  • IEEE Transactions on Wireless Communications

Best Publications

  • From network sharing to multi-tenancy: The 5G network slice broker

    Konstantinos Samdanis;Xavier Costa-Perez;Vincenzo Sciancalepore

  • Radio access network virtualization for future mobile carrier networks

    X. Costa-Perez;J. Swetina;Tao Guo;R. Mahindra

  • Mobile traffic forecasting for maximizing 5G network slicing resource utilization

    Vincenzo Sciancalepore;Konstantinos Samdanis;Xavier Costa-Perez;Dario Bega

  • Optimising 5G infrastructure markets: The business of network slicing

    Dario Bega;Marco Gramaglia;Albert Banchs;Vincenzo Sciancalepore

  • DeepCog: Cognitive Network Management in Sliced 5G Networks with Deep Learning

    Dario Bega;Marco Gramaglia;Marco Fiore;Albert Banchs

  • Network Slicing Games: Enabling Customization in Multi-Tenant Mobile Networks

    Pablo Caballero;Albert Banchs;Gustavo De Veciana;Xavier Costa-Perez

  • O-RAN: Disrupting the Virtualized RAN Ecosystem

    Andres Garcia-Saavedra;Xavier Costa-Perez

  • Adversarial Attacks Against Deep Learning-Based Network Intrusion Detection Systems and Defense Mechanisms

    Unknown

  • Network slicing games: Enabling customization in multi-tenant networks

    Pablo Caballero;Albert Banchs;Gustavo de Veciana;Xavier Costa-Perez

  • Multi-Tenant Radio Access Network Slicing: Statistical Multiplexing of Spatial Loads

    Pablo Caballero;Albert Banchs;Gustavo de Veciana;Xavier Costa-Perez

  • Network Slicing for Guaranteed Rate Services: Admission Control and Resource Allocation Games

    Pablo Caballero;Albert Banchs;Gustavo de Veciana;Xavier Costa-Perez

  • 5G-Crosshaul: An SDN/NFV Integrated Fronthaul/Backhaul Transport Network Architecture

    Xavier Costa-Perez;Andres Garcia-Saavedra;Xi Li;Thomas Deiss

  • FluidRAN: Optimized vRAN/MEC Orchestration

    Andres Garcia-Saavedra;Xavier Costa-Perez;Douglas J. Leith;George Iosifidis

  • How Should I Slice My Network?: A Multi-Service Empirical Evaluation of Resource Sharing Efficiency

    Cristina Marquez;Marco Gramaglia;Marco Fiore;Albert Banchs

  • RL-NSB: Reinforcement Learning-Based 5G Network Slice Broker

    Vincenzo Sciancalepore;Xavier Costa-Perez;Albert Banchs

  • A Machine Learning Approach to 5G Infrastructure Market Optimization

    Dario Bega;Marco Gramaglia;Albert Banchs;Vincenzo Sciancalepore

  • Overbooking network slices through yield-driven end-to-end orchestration

    Josep Xavier Salvat;Lanfranco Zanzi;Andres Garcia-Saavedra;Vincenzo Sciancalepore

  • 5G-TRANSFORMER: Slicing and Orchestrating Transport Networks for Industry Verticals

    Antonio de la Oliva;Xi Li;Xavier Costa-Perez;Carlos J. Bernardos

  • DeepCog: Optimizing Resource Provisioning in Network Slicing With AI-Based Capacity Forecasting

    Dario Bega;Marco Gramaglia;Marco Fiore;Albert Banchs

  • 5G-Crosshaul Network Slicing: Enabling Multi-Tenancy in Mobile Transport Networks

    Xi Li;Ramon Casellas;Giada Landi;Antonio de la Oliva

  • Joint Optimization of Edge Computing Architectures and Radio Access Networks

    Andres Garcia-Saavedra;George Iosifidis;Xavier Costa-Perez;Douglas J. Leith

  • Multi-Tenant Radio Access Network Slicing: Statistical Multiplexing of Spatial Loads

    P. Caballero;A. Banchs;G. de Veciana;X. Costa-Perez

Frequent Co-Authors

Vincenzo Sciancalepore
Vincenzo Sciancalepore NEC Laboratories Europe GmbH
Albert Banchs
Albert Banchs Carlos III University of Madrid
Marco Gramaglia
Marco Gramaglia Carlos III University of Madrid
Antonio de la Oliva
Antonio de la Oliva Carlos III University of Madrid
Marco Fiore
Marco Fiore IMDEA Networks
George Iosifidis
George Iosifidis Delft University of Technology
Carlos J. Bernardos
Carlos J. Bernardos Carlos III University of Madrid
Gustavo de Veciana
Gustavo de Veciana The University of Texas at Austin
Hans D. Schotten
Hans D. Schotten Technical University of Kaiserslautern
Douglas J. Leith
Douglas J. Leith Trinity College Dublin

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