World's Best Scientists 2026 revealed!
Pablo A. Estevez

Pablo A. Estevez

D-Index & Metrics

Engineering and Technology

D-Index
34
Citations
5212
World Ranking
9194
National Ranking
7

Pablo A. Estevez 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 Pablo A. Estevez 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: 154 publications — 29th percentile

29% of scientists in this discipline score the same or lower.

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

Pablo A. Estevez 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 Pablo A. Estevez 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: 34 D-Index — 7th percentile

7% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2019 - Meritorious Service Award, IEEE Computational Intelligence Society
  • 2017 - IEEE Fellow For contributions to feature selection and visualization of large data sets

Overview

Pablo A. Estevez is affiliated with the University of Chile in Chile. Their research spans multiple fields, including Astronomy and Astrophysics, Artificial Intelligence, Cognitive Neuroscience, Computational Mechanics, and Signal Processing. The scientist's work encompasses a variety of topics such as Gamma-ray bursts and supernovae, Anomaly Detection Techniques and Applications, Stellar, planetary, and galactic studies, Astronomical Observations and Instrumentation, Galaxies: Formation, Evolution, Phenomena, Time Series Analysis and Forecasting, and Astrophysics and Cosmic Phenomena.

Estevez has contributed to the academic community through a range of publications. Some recent papers include:

  • "Alert Classification for the ALeRCE Broker System: The Light Curve Classifier" (2021), published in The Astronomical Journal
  • "Going deep into schizophrenia with artificial intelligence" (2021), published in Schizophrenia Research
  • "Searching for Changing-state AGNs in Massive Data Sets. I. Applying Deep Learning and Anomaly-detection Techniques to Find AGNs with Anomalous Variability Behaviors" (2021), published in The Astronomical Journal
  • "Development of machine learning models to predict gestational diabetes risk in the first half of pregnancy" (2023), published in BMC Pregnancy and Childbirth
  • "Rock lithological instance classification by hyperspectral images using dimensionality reduction and deep learning" (2022), published in Chemometrics and Intelligent Laboratory Systems

The frequent coauthors with whom Estevez has collaborated include:

  • F. Förster
  • G. Cabrera-Vives
  • P. Sanchéz-Sáez
  • F. E. Bauer
  • J. Arredondo

The scholar's works have been published repeatedly in several venues, with a notable concentration in:

  • The Astronomical Journal
  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Transactions on Emerging Topics in Computational Intelligence
  • IEEE Transactions on Cognitive and Developmental Systems

Pablo A. Estevez has received several distinctions including the Meritorious Service Award from the IEEE Computational Intelligence Society in 2019 and was named an IEEE Fellow in 2017 for contributions to feature selection and visualization of large data sets.

Best Publications

  • Normalized Mutual Information Feature Selection

    P.A. Estevez;M. Tesmer;C.A. Perez;J.M. Zurada

  • A review of feature selection methods based on mutual information

    Jorge R. Vergara;Pablo A. Estévez

  • A Review of Feature Selection Methods Based on Mutual Information

    Jorge R. Vergara;Pablo A. Estévez

  • The delay of shock breakout due to circumstellar material evident in most type II supernovae

    F. Förster;F. Förster;T. J. Moriya;J. C. Maureira;J. P. Anderson

  • Subscription fraud prevention in telecommunications using fuzzy rules and neural networks

    Pablo A. Estévez;Claudio M. Held;Claudio A. Perez

  • Ore grade estimation by feature selection and voting using boundary detection in digital image analysis

    Claudio A. Perez;Pablo A. Estévez;Pablo A. Vera;Luis E. Castillo

  • A review of learning vector quantization classifiers

    David Nova;Pablo A. Estévez

  • The delay of shock breakout due to circumstellar material seen in most Type II Supernovae

    F. Förster;T.J. Moriya;J.C. Maureira;J.P. Anderson

  • Polysomnographic pattern recognition for automated classification of sleep-waking states in infants.

    P. A. Estévez;C. M. Held;C. A. Holzmann;C. A. Perez

  • Alert Classification for the ALeRCE Broker System: The Light Curve Classifier

    P. Sánchez-Sáez;P. Sánchez-Sáez;I. Reyes;C. Valenzuela;F. Förster;F. Förster

  • Selecting the Most Influential Nodes in Social Networks

    P.A. Estevez;P. Vera;K. Saito

  • A neurofuzzy color image segmentation method for wood surface defect detection

    Gonzalo A. Ruz;Pablo A. Estevez;Claudio A. Perez

  • Computational Intelligence Challenges and Applications on Large-Scale Astronomical Time Series Databases

    Pablo Huijse;Pablo A. Estevez;Pavlos Protopapas;Jose C. Principe

  • Multi-objective optimal design of lithium-ion battery packs based on evolutionary algorithms

    Bernardo Severino;Felipe Gana;Rodrigo Palma-Behnke;Pablo A. Estévez

  • 150 Successful Machine Learning Models

    Unknown

  • Going deep into schizophrenia with artificial intelligence.

    Jose A. Cortes-Briones;Nicolas I. Tapia-Rivas;Deepak Cyril D'Souza;Pablo A. Estevez

  • Deep-HiTS: Rotation Invariant Convolutional Neural Network for Transient Detection

    Guillermo Cabrera-Vives;Guillermo Cabrera-Vives;Ignacio Reyes;Ignacio Reyes;Francisco Förster;Francisco Förster;Pablo A. Estévez;Pablo A. Estévez

  • Automated visual inspection system for wood defect classification using computational intelligence techniques

    Gonzalo A. Ruz;Pablo A. Estevez;Pablo A. Ramirez

  • The High Cadence Transient Survey (HiTS) - I. Survey design and supernova shock breakout constraints

    Francisco Förster;Juan C. Maureira;Jaime San Martín;Mario Hamuy

  • The High Cadence Transient Survey (HITS). I. Survey Design and Supernova Shock Breakout Constraints

    F. Förster;F. Förster;J. C. Maureira;J. San Martín;M. Hamuy;M. Hamuy

  • Classification of sleep stages in infants: a neuro fuzzy approach

    J.E. Heiss;C.M. Held;P.A. Estevez;C.A. Perez

  • Genetic design of biologically inspired receptive fields for neural pattern recognition

    C.A. Perez;C.A. Salinas;P.A. Estevez;P.M. Valenzuela

  • Online data visualization using the neural gas network

    Pablo A. Estévez;Cristián J. Figueroa

  • Extracting Fuzzy Rules From Polysomnographic Recordings for Infant Sleep Classification

    C.M. Held;J.E. Heiss;P.A. Estevez;C.A. Perez

  • 6 DOF force and torque sensor for micro-manipulation applications

    P. Estevez;J.M. Bank;M. Porta;J. Wei

  • A fractal time thermal model for predicting the surface temperature of air-cooled cylindrical Li-ion cells based on experimental measurements

    Jorge Reyes-Marambio;Francisco Moser;Felipe Gana;Bernardo Severino

  • The Automatic Learning for the Rapid Classification of Events (ALeRCE) Alert Broker

    F. Förster;G. Cabrera-Vives;E. Castillo-Navarrete;P. A. Estévez

Frequent Co-Authors

Franz E. Bauer
Franz E. Bauer Pontificia Universidad Católica de Chile
Mario Hamuy
Mario Hamuy University of Chile
Jose C. Principe
Jose C. Principe University of Florida
Rodrigo Palma-Behnke
Rodrigo Palma-Behnke University of Chile
Dante Minniti
Dante Minniti Andrés Bello University
Manuela Zoccali
Manuela Zoccali Pontificia Universidad Católica de Chile
Marcos E. Orchard
Marcos E. Orchard University of Chile
Avishay Gal-Yam
Avishay Gal-Yam Weizmann Institute of Science
Paolo A. Mazzali
Paolo A. Mazzali Liverpool John Moores University
Eric Goles
Eric Goles Adolfo Ibáñez University

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