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Fernando Moraes 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 Fernando Moraes 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+

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

Fernando Moraes 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 Fernando Moraes 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+

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

Overview

Fernando Moraes is affiliated with the Pontifical Catholic University of Rio Grande do Sul in Brazil. Their research primarily spans the fields of Computer Science and Engineering, with substantial contributions in Electrical and Electronic Engineering, Computer Networks and Communications, Hardware and Architecture, Computer Vision and Pattern Recognition, and Artificial Intelligence.

The scientist's work engages deeply with a range of specialized topics, including Advanced Memory and Neural Computing, Interconnection Networks and Systems, Parallel Computing and Optimization Techniques, Radiation Effects in Electronics, Embedded Systems Design Techniques, Software-Defined Networks and 5G, and Advanced Neural Network Applications.

Fernando Moraes has authored multiple papers published in a variety of scientific venues. Recent publications include:

  • A Systemic and Secure SDN Framework for NoC-Based Many-Cores (2020, IEEE Access)
  • A New Router Architecture for High-Performance Intrachip Networks (2020, Journal of Integrated Circuits and Systems)
  • Evaluation of the soft error assessment consistency of a JIT-based virtual platform simulator (2021, IET Computers & Digital Techniques)
  • Buffer Sizing for Multimedia Flows in Packet-Switching NoCs (2020, Journal of Integrated Circuits and Systems)
  • A High-Level Modeling Framework for Estimating Hardware Metrics of CNN Accelerators (2021, IEEE Transactions on Circuits and Systems I Regular Papers)

Their frequent collaborative partners include Luciano Lores Caimi, Ney Calazans, Ricardo Reis, Leonardo Rezende Juracy, and Marcelo Ruaro.

Fernando Moraes's papers have appeared mainly in the following publication venues:

  • Journal of Integrated Circuits and Systems
  • IEEE Access
  • IEEE Design and Test
  • Analog Integrated Circuits and Signal Processing
  • IEEE Transactions on Nuclear Science

Best Publications

  • HERMES: an infrastructure for low area overhead packet-switching networks on chip

    Fernando Moraes;Ney Calazans;Aline Mello;Leandro Möller

  • Heuristics for Dynamic Task Mapping in NoC-based Heterogeneous MPSoCs

    E. Carvalho;N. Calazans;F. Moraes

  • Dynamic Task Mapping for MPSoCs

    Ewerson Luiz de Souza Carvalho;Ney Laert Vilar Calazans;Fernando Gehm Moraes

  • Virtual channels in networks on chip: implementation and evaluation on hermes NoC

    Aline Mello;Leonel Tedesco;Ney Calazans;Fernando Moraes

  • A scalable test strategy for network-on-chip routers

    A.M. Amory;E. Briao;E. Cota;M. Lubaszewski

  • HeMPS - a framework for NoC-based MPSoC generation

    Everton A. Carara;Roberto P. de Oliveira;Ney L. V. Calazans;Fernando G. Moraes

  • Exploring NoC Mapping Strategies: An Energy and Timing Aware Technique

    Cesar Marcon;Ney Calazans;Fernando Moraes;Altamiro Susin

  • MAIA: a framework for networks on chip generation and verification

    Luciano Ost;Aline Mello;José Palma;Fernando Moraes

  • Integrating the teaching of computer organization and architecture with digital hardware design early in undergraduate courses

    N.L.V. Calazans;F.G. Moraes

  • Congestion-aware task mapping in heterogeneous MPSoCs

    E. Carvalho;F. Moraes

  • Remote and partial reconfiguration of FPGAs: tools and trends

    D. Mesquita;F. Moraes;J. Palma;L. Moller

  • Evaluation of Routing Algorithms on Mesh Based NoCs

    Aline Vieira de Mello;Luciano Copello Ost;Fernando Gehm Moraes;Ney Laert Vilar Calazans

  • Comparison of network-on-chip mapping algorithms targeting low energy consumption

    César Augusto Missio Marcon;Edson Ifarraguirre Moreno;Ney Laert Vilar Calazans;Fernando Gehm Moraes

  • Distributed resource management in NoC-based MPSoCs with dynamic cluster sizes

    Guilherme Castilhos;Marcelo Mandelli;Guilherme Madalozzo;Fernando Moraes

  • A Low Area Overhead Packet-switched Network on Chip: Architecture and Prototyping.

    Fernando Gehm Moraes;Aline Mello;Leandro Möller;Luciano Ost

  • Traffic generation and performance evaluation for mesh-based NoCs

    Leonel Tedesco;Aline Mello;Diego Garibotti;Ney Calazans

  • From VHDL register transfer level to SystemC transaction level modeling: a comparative case study

    Ney Calazans;Edson Moreno;Fabiano Hessel;Vitor Rosa

  • NoC Power Estimation at the RTL Abstraction Level

    G. Guindani;C. Reinbrecht;T. Raupp;N. Calazans

  • Core communication interface for FPGAs

    José Carlos Palma;Aline Vieira de Mello;Leandro Möller;Fernando Moraes

  • Topology-agnostic fault-tolerant NoC routing method

    Eduardo Wachter;Augusto Erichsen;Alexandre Amory;Fernando Moraes

Frequent Co-Authors

Nikil Dutt
Nikil Dutt University of California, Irvine
Kees Goossens
Kees Goossens Eindhoven University of Technology
Luigi Carro
Luigi Carro Federal University of Rio Grande do Sul
Grigory Volovik
Grigory Volovik Landau Institute for Theoretical Physics

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