World's Best Scientists 2026 revealed!
Albert Cabellos-Aparicio

Albert Cabellos-Aparicio

D-Index & Metrics

Computer Science

D-Index
40
Citations
5210
World Ranking
9429
National Ranking
147

Albert Cabellos-Aparicio 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 Albert Cabellos-Aparicio 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: 240 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Albert Cabellos-Aparicio 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 Albert Cabellos-Aparicio 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: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

Albert Cabellos-Aparicio is affiliated with the Universitat Politècnica de Catalunya in Spain. Their research primarily spans the fields of Computer Science and Engineering, with a substantial focus on subfields such as Computer Networks and Communications, Electrical and Electronic Engineering, and Artificial Intelligence. Additional work touches on Aerospace Engineering and Electronic, Optical, and Magnetic Materials.

The scientist's contributions include numerous publications in several academic venues. Frequent publication platforms include arXiv (Cornell University), Computer Networks, the Journal of Network and Systems Management, IEEE Network, and IEEE Access.

Key topics of their research encompass Software-Defined Networks and 5G, Advanced Graph Neural Networks, Software System Performance and Reliability, and Metamaterials and Metasurfaces Applications. Other areas of interest include Network Traffic and Congestion Control, Advanced Wireless Communication Technologies, and Advanced Memory and Neural Computing.

The following notable recent papers illustrate the range of their work:

  • Toward Intelligent Metasurfaces: The Progress from Globally Tunable Metasurfaces to Software-Defined Metasurfaces with an Embedded Network of Controllers, 2020, Advanced Optical Materials
  • Deep reinforcement learning meets graph neural networks: Exploring a routing optimization use case, 2022, Computer Communications
  • Network digital twin: context, enabling technologies, and opportunities, 2022, UPCommons (Polytechnic University of Catalonia)
  • Unveiling the potential of Graph Neural Networks for robust Intrusion Detection, 2022, ACM SIGMETRICS Performance Evaluation Review
  • Immersive Interconnected Virtual and Augmented Reality: A 5G and IoT Perspective, 2020, Journal of Network and Systems Management

Albert Cabellos-Aparicio has collaborated frequently with several researchers, including Pere Barlet-Ros, José Suárez-Varela, Shihan Xiao, Xiangle Cheng, and Miquel Ferriol-Galmés.

Best Publications

  • Knowledge-Defined Networking

    Albert Mestres;Alberto Rodriguez-Natal;Josep Carner;Pere Barlet-Ros

  • RouteNet: leveraging graph neural networks for network modeling and optimization in SDN

    Krzysztof Rusek;José Suárez-Varela;Paul Almasan;Pere Barlet-Ros

  • Toward Intelligent Metasurfaces: The Progress from Globally Tunable Metasurfaces to Software-Defined Metasurfaces with an Embedded Network of Controllers

    Odysseas Tsilipakos;Anna C. Tasolamprou;Alexandros Pitilakis;Fu Liu

  • Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case

    Paul Almasan;José Suárez-Varela;Arnau Badia-Sampera;Krzysztof Rusek

  • Detection Techniques for Diffusion-based Molecular Communication

    Ignacio Llatser;Albert Cabellos-Aparicio;Massimiliano Pierobon;Eduard Alarcon

  • Graphene-enabled wireless communication for massive multicore architectures

    Sergi Abadal;Eduard Alarcón;Albert Cabellos-Aparicio;Max Lemme

  • A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization

    Unknown

  • Network Digital Twin: Context, Enabling Technologies, and Opportunities

    Unknown

  • Digital Metasurface Based on Graphene: An Application to Beam Steering in Terahertz Plasmonic Antennas

    Seyed Ehsan Hosseininejad;Kasra Rouhi;Mohammad Neshat;Albert Cabellos-Aparicio

  • Analysis of the impact of sampling on NetFlow traffic classification

    Valentín Carela-Español;Pere Barlet-Ros;Albert Cabellos-Aparicio;Josep Solé-Pareta

  • Reprogrammable Graphene-based Metasurface Mirror with Adaptive Focal Point for THz Imaging

    Seyed Ehsan Hosseininejad;Kasra Rouhi;Mohammad Neshat;Reza Faraji-Dana

  • Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities

    Unknown

  • Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN

    Krzysztof Rusek;José Suárez-Varela;Albert Mestres;Pere Barlet-Ros

  • Diffusion-based physical channel identification in molecular nanonetworks

    Nora Garralda;Ignacio Llatser;Albert Cabellos-Aparicio;Eduard Alarcón

  • LISP-TREE: A DNS Hierarchy to Support the LISP Mapping System

    L Jakab;A Cabellos-Aparicio;F Coras;D Saucez

  • Programmable Metasurfaces: State of the Art and Prospects

    Fu Liu;Alexandros Pitilakis;Mohammad Sajjad Mirmoosa;Odysseas Tsilipakos

  • Unveiling the potential of Graph Neural Networks for robust Intrusion Detection.

    David Pujol-Perich;José Suárez-Varela;Albert Cabellos-Aparicio;Pere Barlet-Ros

  • Immersive Interconnected Virtual and Augmented Reality: A 5G and IoT Perspective

    Maria Torres Vega;Christos Liaskos;Sergi Abadal;Evangelos Papapetrou

  • Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN

    Krzysztof Rusek;José Suárez-Varela;Albert Mestres;Pere Barlet-Ros

  • Computing and Communications for the Software-Defined Metamaterial Paradigm: A Context Analysis

    Sergi Abadal;Christos Liaskos;Ageliki Tsioliaridou;Sotiris Ioannidis

  • N3Sim: Simulation framework for diffusion-based molecular communication nanonetworks

    Ignacio Llatser;Deniz Demiray;Deniz Demiray;Albert Cabellos-Aparicio;D. Turgay Altilar

  • RouteNet-Fermi: Network Modeling With Graph Neural Networks

    Unknown

  • Use of Terahertz Photoconductive Sources to Characterize Tunable Graphene RF Plasmonic Antennas

    Albert Cabellos-Aparicio;Ignacio Llatser;Eduard Alarcon;Allen Hsu

  • Simulation-based evaluation of the diffusion-based physical channel in molecular nanonetworks

    Nora Garralda;Ignacio Llatser;Albert Cabellos-Aparicio;Massimiliano Pierobon

  • On the area and energy scalability of wireless network-on-chip: a model-based benchmarked design space exploration

    Sergi Abadal;Mario Iannazzo;Mario Nemirovsky;Albert Cabellos-Aparicio

  • Networking challenges and principles in diffusion-based molecular communication

    Ignacio Llatser;Albert Cabellos-Aparicio;Eduard Alarcon

  • Time-Domain Analysis of Graphene-Based Miniaturized Antennas for Ultra-Short-Range Impulse Radio Communications

    Sergi Abadal;Ignacio Llatser;Albert Mestres;Heekwan Lee

  • Physical channel characterization for medium-range nanonetworks using flagellated bacteria

    Maria Gregori;Ignacio Llatser;Albert Cabellos-Aparicio;Eduard Alarcón

Frequent Co-Authors

Eduard Alarcon
Eduard Alarcon Universitat Politècnica de Catalunya
Max C. Lemme
Max C. Lemme RWTH Aachen University
Maria Kafesaki
Maria Kafesaki University of Crete
Josep Torrellas
Josep Torrellas University of Illinois at Urbana-Champaign
Dino Farinacci
Dino Farinacci lispers.net
Eleftherios N. Economou
Eleftherios N. Economou Foundation for Research and Technology Hellas
Costas M. Soukoulis
Costas M. Soukoulis Iowa State University
Andreas Pitsillides
Andreas Pitsillides University of Cyprus
Sergei A. Tretyakov
Sergei A. Tretyakov Aalto University
Mario Nemirovsky
Mario Nemirovsky Barcelona Supercomputing Center

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