World's Best Scientists 2026 revealed!
Roberto Kawakami Harrop Galvão

Roberto Kawakami Harrop Galvão

D-Index & Metrics

Engineering and Technology

D-Index
35
Citations
6045
World Ranking
8925
National Ranking
34

Roberto Kawakami Harrop Galvão publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Roberto Kawakami Harrop Galvão sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 212 publications — 52nd percentile

52% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Roberto Kawakami Harrop Galvão D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Roberto Kawakami Harrop Galvão sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 35 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Roberto Kawakami Harrop Galvão is affiliated with the Instituto Tecnológico de Aeronáutica in Brazil and has contributed to the fields of engineering and computer science, with a specific focus on control and systems engineering. Their research spans several subfields including biomedical engineering, computer networks and communications, computer vision and pattern recognition, and aerospace engineering.

The scientist's main research topics cover:

  • Control Systems and Identification
  • Advanced Control Systems Optimization
  • Fault Detection and Control Systems
  • Robotic Path Planning Algorithms
  • Stability and Control of Uncertain Systems
  • Advanced Control Systems Design
  • Distributed Control Multi-Agent Systems

Roberto Kawakami Harrop Galvão has published extensively with frequent appearances in several journals. Preferred venues for publication include:

  • International Journal of Robust and Nonlinear Control
  • Automatica
  • Journal of Control Automation and Electrical Systems
  • Food Chemistry
  • IEEE Access

Frequent coauthors include Rubens J. M. Afonso, Marcelo Carvalho Minhoto Teixeira, Edvaldo Assunção, Sillas Hadjiloucas, and Mário César Ugulino de Araújo.

Recent papers by the scientist cover a range of topics and publication years, such as:

  • "Scores selection via Fisher's discriminant power in PCA-LDA to improve the classification of food data," 2021, Food Chemistry
  • "Task allocation and trajectory planning for multiple agents in the presence of obstacle and connectivity constraints with mixed-integer linear programming," 2020, International Journal of Robust and Nonlinear Control
  • "Mission Planning for Multiple UAVs in a Wind Field with Flight Time Constraints," 2020, Journal of Control Automation and Electrical Systems
  • "Identification of fractional-order transfer functions using exponentially modulated signals with arbitrary excitation waveforms," 2020, ISA Transactions
  • "An Output-Feedback Design Approach for Robust Stabilization of Linear Systems With Uncertain Time-Delayed Dynamics in Sensors and Actuators," 2023, IEEE Access

Best Publications

  • A method for calibration and validation subset partitioning.

    Roberto Kawakami Harrop Galvão;Mário César Ugulino Araujo;Gledson Emídio José;Marcio José Coelho Pontes

  • A variable elimination method to improve the parsimony of MLR models using the successive projections algorithm

    Roberto Kawakami Harrop Galvão;Mário César Ugulino Araújo;Wallace Duarte Fragoso;Edvan Cirino Silva

  • The successive projections algorithm

    Sófacles Figueredo Carreiro Soares;Adriano A. Gomes;Mario Cesar Ugulino Araujo;Arlindo Rodrigues Galvão Filho

  • The successive projections algorithm for spectral variable selection in classification problems

    Márcio José Coelho Pontes;Roberto Kawakami Harrop Galvão;Mário César Ugulino Araújo;Pablo Nogueira Teles Moreira

  • NIR spectrometric determination of quality parameters in vegetable oils using iPLS and variable selection

    Alessandra Félix Costa Pereira;Márcio José Coelho Pontes;Francisco Fernandes Gambarra Neto;Sérgio Ricardo Bezerra Santos

  • Adaptive control for mobile robot using wavelet networks

    C. de Sousa;E.M. Hemerly;R.K.H. Galvao

  • Classification of Brazilian soils by using LIBS and variable selection in the wavelet domain.

    Marcio Jose Coelho Pontes;Juliana Cortez;Roberto Kawakami Harrop Galvao;Celio Pasquini

  • UV–Vis spectrometric classification of coffees by SPA–LDA

    Urijatan Teixeira Carvalho Polari Souto;Márcio José Coelho Pontes;Edvan Cirino Silva;Roberto Kawakami Harrop Galvão

  • Near infrared reflectance spectrometry classification of cigarettes using the successive projections algorithm for variable selection.

    Edilene Dantas Teles Moreira;Márcio José Coelho Pontes;Roberto Kawakami Harrop Galvão;Mário César Ugulino Araújo

  • Aspects of the successive projections algorithm for variable selection in multivariate calibration applied to plasma emission spectrometry

    Roberto Kawakami Harrop Galvão;Maria Fernanda Pimentel;Mario Cesar Ugulino Araujo;Takashi Yoneyama

  • Fractional Order Modeling of Large Three-Dimensional RC Networks

    R. K. H. Galvao;S. Hadjiloucas;K. H. Kienitz;H. M. Paiva

  • Assessment of infrared spectroscopy and multivariate techniques for monitoring the service condition of diesel-engine lubricating oils

    Arnobio Roberto Caneca;M. Fernanda Pimentel;Roberto Kawakami Harrop Galvão;Cláudia Eliane da Matta

  • A strategy for selecting calibration samples for multivariate modelling

    Heronides Adonias Dantas Filho;Roberto Kawakami Harrop Galvão;Mário Cesar Ugulino Araújo;Edvan Cirino da Silva

  • The successive projections algorithm for interval selection in PLS

    Adriano de Araújo Gomes;Roberto Kawakami Harrop Galvão;Mário Cesar Ugulino de Araújo;Germano Véras

  • A comparative study of calibration transfer methods for determination of gasoline quality parameters in three different near infrared spectrometers.

    Claudete Fernandes Pereira;Maria Fernanda Pimentel;Roberto Kawakami Harrop Galvão;Fernanda Araújo Honorato

  • Cross-validation for the selection of spectral variables using the successive projections algorithm

    Roberto Kawakami Harrop Galvao;Mario Cesar Ugulino Araujo;Edvan Cirino Silva;Gledson Emidio Jose

  • Use of PHM Information and System Architecture for Optimized Aircraft Maintenance Planning

    Leonardo R. Rodrigues;Joao P. P. Gomes;Felipe A. S. Ferri;Ivo P. Medeiros

  • Robust modeling for multivariate calibration transfer by the successive projections algorithm

    Fernanda Araújo Honorato;Roberto Kawakami Harrop Galvão;Maria Fernanda Pimentel;Benício de Barros Neto

  • A method for determination of COD in a domestic wastewater treatment plant by using near-infrared reflectance spectrometry of seston.

    Antonio C. Sousa;Maria Mônica L.M. Lucio;Ovídeo F. Bezerra Neto;Glauciene P.S. Marcone

  • Neural and Wavelet Network Models for Financial Distress Classification

    Victor M. Becerra;Roberto K. Galvão;Magda Abou-Seada

  • Screening analysis of beer ageing using near infrared spectroscopy and the Successive Projections Algorithm for variable selection

    Mahdi Ghasemi-Varnamkhasti;Seyed Saied Mohtasebi;Maria Luz Rodriguez-Mendez;Adriano A. Gomes

  • Model Predictive Control using Prognosis and Health Monitoring of actuators

    Eduardo Bento Pereira;Roberto Kawakami Harrop Galvao;Takashi Yoneyama

  • An application of subagging for the improvement of prediction accuracy of multivariate calibration models

    Roberto Kawakami Harrop Galvão;Mário César Ugulino Araújo;Marcelo do Nascimento Martins;Gledson Emidio José

  • Analysis of spectroscopic measurements of leaf water content at terahertz frequencies using linear transforms

    Sillas Hadjiloucas;Roberto K. H. Galvão;John Wesley Bowen

Frequent Co-Authors

Mário César Ugulino de Araújo
Mário César Ugulino de Araújo Federal University of Paraíba
Heinrich Kurz
Heinrich Kurz RWTH Aachen University
Derek Abbott
Derek Abbott University of Adelaide
Wouter Saeys
Wouter Saeys KU Leuven
Héctor C. Goicoechea
Héctor C. Goicoechea National University of the Littoral
Yvan Vander Heyden
Yvan Vander Heyden Vrije Universiteit Brussel
Luiz Antonio de Almeida Pinto
Luiz Antonio de Almeida Pinto Federal University of Rio Grande
Maria Luz Rodriguez-Mendez
Maria Luz Rodriguez-Mendez University of Valladolid

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