World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
5980
World Ranking
9810
National Ranking
29

Frederico G. Guimarães 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 Frederico G. Guimarães 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 243 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Frederico G. Guimarães 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 Frederico G. Guimarães sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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

Frederico G. Guimarães is affiliated with the Universidade Federal de Minas Gerais in Brazil. Their research primarily spans the fields of Computer Science and Engineering, with a substantial focus on subfields such as Artificial Intelligence, Management Science and Operations Research, Signal Processing, Computer Vision and Pattern Recognition, and Electrical and Electronic Engineering.

The scientist's work covers a range of topics, including:

  • Stock Market Forecasting Methods
  • Time Series Analysis and Forecasting
  • Energy Load and Power Forecasting
  • Cognitive Science and Mapping
  • Advanced Multi-Objective Optimization Algorithms
  • Metaheuristic Optimization Algorithms Research
  • Neural Networks and Applications

Recent publications of Frederico G. Guimarães include:

  • "COVID-ABS: An agent-based model of COVID-19 epidemic to simulate health and economic effects of social distancing interventions," 2020, Chaos Solitons & Fractals
  • "Unmanned-Aerial-Vehicle Routing Problem With Mobile Charging Stations for Assisting Search and Rescue Missions in Postdisaster Scenarios," 2021, IEEE Transactions on Systems Man and Cybernetics Systems
  • "Explaining machine learning based diagnosis of COVID-19 from routine blood tests with decision trees and criteria graphs," 2021, Computers in Biology and Medicine
  • "Reference evapotranspiration time series forecasting with ensemble of convolutional neural networks," 2020, Computers and Electronics in Agriculture
  • "Time series forecasting using fuzzy cognitive maps: a survey," 2022, Artificial Intelligence Review

Frederico G. Guimarães frequently collaborates with several researchers, including:

  • Petrônio Cândido de Lima e Silva
  • Omid Orang
  • Marcos Antônio Alves
  • Hélder Seixas Lima
  • Bruno Alberto Soares Oliveira

The scientist publishes regularly in venues such as:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Access
  • Congresso Brasileiro de Automática
  • SSRN Electronic Journal

Best Publications

  • COVID-ABS: An agent-based model of COVID-19 epidemic to simulate health and economic effects of social distancing interventions

    Petrônio C. L. Silva;Paulo V. C. Batista;Helder Seixas Lima;Marcos Antonio Alves

  • Short-term load forecasting by using a combined method of convolutional neural networks and fuzzy time series

    Hossein Javedani Sadaei;Petrônio Cândido de Lima e Silva;Frederico Gadelha Guimarães;Muhammad Hisyam Lee

  • Multi-agent systems applied for energy systems integration: State-of-the-art applications and trends in microgrids

    Vitor N. Coelho;Vitor N. Coelho;Miri Weiss Cohen;Igor M. Coelho;Nian Liu

  • A clonal selection algorithm for optimization in electromagnetics

    F. Campelo;F.G. Guimaraes;H. Igarashi;J.A. Ramirez

  • A multi-objective model for the green capacitated location-routing problem considering environmental impact

    Eliana M. Toro;John F. Franco;Mauricio Granada Echeverri;Frederico Gadelha Guimarães

  • Index-based permutation-diffusion in multiple-image encryption using DNA sequence

    Rasul Enayatifar;Frederico Gadelha Guimarães;Patrick Siarry

  • Electric Distribution Network Expansion Under Load-Evolution Uncertainty Using an Immune System Inspired Algorithm

    E.G. Carrano;F.G. Guimaraes;R.H.C. Takahashi;O.M. Neto

  • A GPU deep learning metaheuristic based model for time series forecasting

    Igor M. Coelho;Vitor N. Coelho;Eduardo J. da S. Luz;Luiz S. Ochi

  • Medical image encryption using a hybrid model of modified genetic algorithm and coupled map lattices

    Hossein Nematzadeh;Rasul Enayatifar;Homayun Motameni;Frederico Gadelha Guimarães

  • A cooperative coevolutionary algorithm for the Multi-Depot Vehicle Routing Problem

    Fernando Bernardes de Oliveira;Rasul Enayatifar;Hossein Javedani Sadaei;Frederico Gadelha Guimarães

  • Short-term load forecasting method based on fuzzy time series, seasonality and long memory process

    Unknown

  • Review: Feature extraction in Brazilian Sign Language Recognition based on phonological structure and using RGB-D sensors

    Sílvia Grasiella Moreira Almeida;Sílvia Grasiella Moreira Almeida;Frederico Gadelha Guimarães;Jaime Arturo Ramírez

  • Unmanned-Aerial-Vehicle Routing Problem With Mobile Charging Stations for Assisting Search and Rescue Missions in Postdisaster Scenarios

    Roberto G. Ribeiro;Luciano P. Cota;Thiago A. M. Euzebio;Jaime A. Ramirez

  • Multi-objective energy storage power dispatching using plug-in vehicles in a smart-microgrid.

    Vitor Nazário Coelho;Igor Machado Coelho;Bruno Nazário Coelho;Miri Weiss Cohen

  • A self-adaptive evolutionary fuzzy model for load forecasting problems on smart grid environment

    Vitor Nazário Coelho;Igor Machado Coelho;Bruno Nazário Coelho;Agnaldo José da Rocha Reis;Agnaldo José da Rocha Reis

  • Explaining machine learning based diagnosis of COVID-19 from routine blood tests with decision trees and criteria graphs.

    Marcos Antonio Alves;Giulia Zanon Castro;Bruno Alberto Soares Oliveira;Leonardo Augusto Ferreira

  • Aggregation Trees for visualization and dimension reduction in many-objective optimization

    Alan R.R. de Freitas;Peter J. Fleming;Frederico G. Guimarães

  • Probabilistic Forecasting With Fuzzy Time Series

    Petronio Candido de Lima Silva;Hossein Javedani Sadaei;Rosangela Ballini;Frederico Gadelha Guimaraes

  • Stock market forecasting by using a hybrid model of exponential fuzzy time series

    Fatemeh Mirzaei Talarposhti;Hossein Javedani Sadaei;Rasul Enayatifar;Frederico Gadelha Guimarães

  • Reference evapotranspiration time series forecasting with ensemble of convolutional neural networks

    Patrícia de Oliveira e Lucas;Marcos Antonio Alves;Petrônio Cândido de Lima e Silva;Frederico Gadelha Guimarães

  • Pareto cone ε-dominance: improving convergence and diversity in multiobjective evolutionary algorithms

    Lucas S. Batista;Felipe Campelo;Frederico G. Guimarães;Jaime A. Ramírez

  • A modified immune network algorithm for multimodal electromagnetic problems

    F. Campelo;F.G. Guimaraes;H. Igarashi;J.A. Ramirez

  • A comparison of dominance criteria in many-objective optimization problems

    Lucas S. Batista;Felipe Campelo;Frederico G. Guimaraes;Jaime A. Ramirez

Frequent Co-Authors

Peter J. Fleming
Peter J. Fleming University of Sheffield
Nenad Mladenović
Nenad Mladenović Khalifa University
Jean-Yves Potvin
Jean-Yves Potvin University of Montreal
Deborah Negrão-Corrêa
Deborah Negrão-Corrêa Universidade Federal de Minas Gerais
Reinaldo M. Palhares
Reinaldo M. Palhares Universidade Federal de Minas Gerais
Patrick Siarry
Patrick Siarry Paris-Est Créteil University
El-Ghazali Talbi
El-Ghazali Talbi University of Lille

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