World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
38
Citations
5196
World Ranking
4968
National Ranking
19

Luis A. Aguirre publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Luis A. Aguirre sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 211 publications — 33rd percentile

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

The last bar groups every scientist with 1,065 publications or more.

Luis A. Aguirre D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Luis A. Aguirre sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Overview

Luis A. Aguirre is affiliated with the Universidade Federal de Minas Gerais in Brazil. Their research primarily spans the fields of Engineering and Computer Science, with significant contributions in Control and Systems Engineering, Statistical and Nonlinear Physics, Computer Networks and Communications, Artificial Intelligence, and Hematology.

The scientist's work focuses on several main topics, including Control Systems and Identification, Iterative Learning Control Systems, Nonlinear Dynamics and Pattern Formation, Neural Networks and Applications, Chaos Control and Synchronization, Fault Detection and Control Systems, and Neural Dynamics and Brain Function.

They have published extensively in a range of scientific venues. The most frequent publication outlets include:

  • arXiv (Cornell University)
  • Journal of Control Automation and Electrical Systems
  • Nonlinear Dynamics
  • Communications in Nonlinear Science and Numerical Simulation
  • Physical review. E

Recent notable papers by Luis A. Aguirre include:

  • "On the smoothness of nonlinear system identification," 2020, Automatica
  • "Functional observability and target state estimation in large-scale networks," 2021, Proceedings of the National Academy of Sciences
  • "Observability of Network Systems: A Critical Review of Recent Results," 2020, Journal of Control Automation and Electrical Systems
  • "MultiObjective Evolutionary Approach to Grey-Box Identification of Buck Converter," 2020, IEEE Transactions on Circuits and Systems I Regular Papers
  • "Identification and nonlinearity compensation of hysteresis using NARX models," 2020, arXiv (Cornell University)

Luis A. Aguirre collaborates frequently with several researchers, including:

  • Petrus E. O. G. B. Abreu
  • Lucas A. Tavares
  • Arthur N. Montanari
  • Bruno O. S. Teixeira
  • Leandro Freitas

The profile of Luis A. Aguirre reflects a broad engagement with both theoretical and applied aspects of nonlinear systems, system identification, and control engineering, connecting multiple research domains within engineering and computer science. The range of venues and coauthors indicates active participation within a scholarly community focused on complex system dynamics and control methodologies.

Best Publications

  • Improved structure selection for nonlinear models based on term clustering

    Luis A. Aguirre;S. A. Billings

  • Modeling Nonlinear Dynamics and Chaos: A Review

    Luis A. Aguirre;Christophe Letellier

  • Relation between observability and differential embeddings for nonlinear dynamics.

    Christophe Letellier;Luis A. Aguirre;Jean Maquet

  • Dynamical effects of overparametrization in nonlinear models

    Luis Antonio Aguirre;S. A. Billings

  • What can be learned from a chaotic cancer model

    C. Letellier;F. Denis;L.A. Aguirre

  • State estimation for linear and non-linear equality-constrained systems

    Bruno Otávio Soares Teixeira;Jaganath Chandrasekar;Leonardo A. B. Tôrres;Luis Antonio Aguirre

  • Investigating nonlinear dynamics from time series: The influence of symmetries and the choice of observables

    Christophe Letellier;Luis A. Aguirre

  • On the non-equivalence of observables in phase-space reconstructions from recorded time series

    Christophe Letellier;J. Maquet;L. Le Sceller;G. Gouesbet

  • On unscented Kalman filtering with state interval constraints

    Bruno O.S. Teixeira;Leonardo A.B. Tôrres;Luis A. Aguirre;Dennis S. Bernstein

  • RETRIEVING DYNAMICAL INVARIANTS FROM CHAOTIC DATA USING NARMAX MODELS

    Luis Antonio Aguirre;S.A. Billings

  • Validating Identified Nonlinear Models with Chaotic Dynamics

    Luis A. Aguirre;S.A. Billings

  • Gain-Constrained Kalman Filtering for Linear and Nonlinear Systems

    B. Teixeira;J. Chandrasekar;H.J. Palanthandalam-Madapusi;L. Torres

  • EFFECTS OF THE SAMPLING TIME ON THE DYNAMICS AND IDENTIFICATION OF NONLINEAR MODELS

    S. A. Billings;Luis Antonio Aguirre

  • GLOBAL NONLINEAR POLYNOMIAL MODELS: STRUCTURE, TERM CLUSTERS AND FIXED POINTS

    Luis Antonio Aguirre;Eduardo M. A. M. Mendes

  • A nonlinear correlation function for selecting the delay time in dynamical reconstructions

    Luis Antonio Aguirre

  • Identification of models for chaotic systems from noisy data: implications for performance and nonlinear filtering

    Luis Antonio Aguirre;S. A. Billings

  • Inductorless Chua's circuit

    L.A.B. Torres;L.A. Aguirre

  • Use of a priori information in the identification of global nonlinear models-a case study using a buck converter

    L.A. Aguirre;P.F. Donoso-Garcia;R. Santos-Filho

  • On the interpretation and practice of dynamical differences between Hammerstein and Wiener models

    L.A. Aguirre;M.C.S. Coelho;M.V. Correa

  • Forecasting the Time Series of Sunspot Numbers

    L. A. Aguirre;C. Letellier;J. Maquet

Frequent Co-Authors

Christophe Letellier
Christophe Letellier University of Rouen
Stephen A. Billings
Stephen A. Billings University of Sheffield
Dennis S. Bernstein
Dennis S. Bernstein University of Michigan–Ann Arbor
Thomas B. Schön
Thomas B. Schön Uppsala University
Mario F. M. Campos
Mario F. M. Campos Universidade Federal de Minas Gerais
Michael Small
Michael Small University of Western Australia
Hussein A. Abbass
Hussein A. Abbass University of New South Wales
Aaron J. Ridley
Aaron J. Ridley University of Michigan–Ann Arbor
Steve Elgar
Steve Elgar Woods Hole Oceanographic Institution
Leandro dos Santos Coelho
Leandro dos Santos Coelho Federal University of Paraná

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