World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
5808
World Ranking
10275
National Ranking
28

Alejandro C. Frery 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 Alejandro C. Frery 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+

This scientist: 332 publications — 79th percentile

79% of scientists in this discipline score the same or lower.

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

Alejandro C. Frery 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 Alejandro C. Frery 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+

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 131 D-Index or more.

Overview

Alejandro C. Frery is affiliated with Victoria University of Wellington in New Zealand. Their research primarily focuses on engineering, with a significant number of publications in aerospace engineering, computer vision and pattern recognition, environmental engineering, media technology, and economics and econometrics.

The scientist's work extensively covers topics related to Synthetic Aperture Radar (SAR) applications and techniques, advanced SAR imaging techniques, remote-sensing image classification, soil moisture and remote sensing, complex systems and time series analysis, image and signal denoising methods, and soil geostatistics and mapping.

Among their recent published papers are:

  • Land use and land cover (LULC) performance modeling using machine learning algorithms: a case study of the city of Melbourne, Australia, 2023, Scientific Reports
  • INSPIRATION: A reinforcement learning-based human visual perception-driven image enhancement paradigm for underwater scenes, 2024, Engineering Applications of Artificial Intelligence
  • Target Characterization and Scattering Power Decomposition for Full and Compact Polarimetric SAR Data, 2020, IEEE Transactions on Geoscience and Remote Sensing
  • Synthetic Aperture Radar Image Statistical Modeling: Part One-Single-Pixel Statistical Models, 2020, IEEE Geoscience and Remote Sensing Magazine
  • A Radar Vegetation Index for Crop Monitoring Using Compact Polarimetric SAR Data, 2020, IEEE Transactions on Geoscience and Remote Sensing

Alejandro C. Frery frequently collaborates with several scientists, including Avik Bhattacharya, Andrea Rey, Subhadip Dey, Juliana Gambini, and Rogério Galante Negri.

The venues where the scientist has published most often include:

  • IEEE Transactions on Geoscience and Remote Sensing
  • Remote Sensing
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • IEEE Geoscience and Remote Sensing Magazine
  • IEEE Geoscience and Remote Sensing Letters

Best Publications

  • Information fusion for wireless sensor networks: Methods, models, and classifications

    Eduardo F. Nakamura;Antonio A. F. Loureiro;Alejandro C. Frery

  • A model for extremely heterogeneous clutter

    Unknown

  • The polarimetric 𝒢 distribution for SAR data analysis

    Unknown

  • Speckle reduction in polarimetric SAR imagery with stochastic distances and nonlocal means

    Leonardo Torres;Sidnei J.S. Sant'Anna;Corina da Costa Freitas;Alejandro C. Frery

  • Hypothesis Testing in Speckled Data With Stochastic Distances

    A.D.C. Nascimento;R.J. Cintra;A.C. Frery

  • Classifying Multifrequency Fully Polarimetric Imagery With Multiple Sources of Statistical Evidence and Contextual Information

    Unknown

  • Modeling Dengue vector population using remotely sensed data and machine learning

    Juan M. Scavuzzo;Francisco Trucco;Manuel Espinosa;Carolina B. Tauro

  • Image Processing for Computer Graphics and Vision

    Luiz Velho;Alejandro C. Frery;Jonas Gomes

  • Analytic Expressions for Stochastic Distances Between Relaxed Complex Wishart Distributions

    Alejandro C. Frery;Abraao D. C. Nascimento;Renato J. Cintra

  • Unassisted Quantitative Evaluation of Despeckling Filters

    Unknown

  • Distinguishing noise from chaos: objective versus subjective criteria using horizontal visibility graph.

    Martín Gómez Ravetti;Laura C. Carpi;Bruna Amin Gonçalves;Alejandro César Frery

  • Classification of SAR images using a general and tractable multiplicative model

    Unknown

  • Classification of Segments in PolSAR Imagery by Minimum Stochastic Distances Between Wishart Distributions

    Unknown

  • Land use and land cover (LULC) performance modeling using machine learning algorithms: a case study of the city of Melbourne, Australia

    Unknown

  • INSPIRATION: A reinforcement learning-based human visual perception-driven image enhancement paradigm for underwater scenes

    Unknown

  • Target Characterization and Scattering Power Decomposition for Full and Compact Polarimetric SAR Data

    Subhadip Dey;Avik Bhattacharya;Debanshu Ratha;Dipankar Mandal

  • VIRTUS: A resilient location-aware video unicast scheme for vehicular networks

    Cristiano Rezende;Heitor S. Ramos;Richard W. Pazzi;Azzedine Boukerche

  • Synthetic Aperture Radar Image Statistical Modeling: Part One-Single-Pixel Statistical Models

    Dong-Xiao Yue;Feng Xu;Alejandro C. Frery;Ya-Qiu Jin

  • Hyperspectral images clustering on reconfigurable hardware using the k-means algorithm

    Abel Guilhermino da S. Filho;Alejandro C. Frery;Cristiano Coêlho de Araújo;Haglay Alice

  • Comparing Edge Detection Methods Based on Stochastic Entropies and Distances for PolSAR Imagery

    Abraao D. C. Nascimento;Michelle M. Horta;Alejandro C. Frery;Renato J. Cintra

  • A Radar Vegetation Index for Crop Monitoring Using Compact Polarimetric SAR Data

    Dipankar Mandal;Debanshu Ratha;Avik Bhattacharya;Vineet Kumar

  • M-estimators with asymmetric influence functions: the distribution case

    Unknown

  • Detecting Changes in Fully Polarimetric SAR Imagery With Statistical Information Theory

    Abraao D. C. Nascimento;Alejandro C. Frery;Renato J. Cintra

  • A Generalized Volume Scattering Model-Based Vegetation Index From Polarimetric SAR Data

    Debanshu Ratha;Dipankar Mandal;Vineet Kumar;Heather Mcnairn

  • Polarimetric SAR image segmentation with B-splines and a new statistical model

    Alejandro C. Frery;Julio Jacobo-Berlles;Juliana Gambini;Marta E. Mejail

  • Entropy-Based Statistical Analysis of PolSAR Data

    A. C. Frery;R. J. Cintra;A. D. C. Nascimento

  • A PolSAR Scattering Power Factorization Framework and Novel Roll-Invariant Parameter-Based Unsupervised Classification Scheme Using a Geodesic Distance

    Debanshu Ratha;Eric Pottier;Avik Bhattacharya;Alejandro C. Frery

  • Unsupervised Classification of PolSAR Data Using a Scattering Similarity Measure Derived From a Geodesic Distance

    Debanshu Ratha;Avik Bhattacharya;Alejandro C. Frery

  • Cooperative target tracking in vehicular sensor networks

    Heitor S. Ramos;Azzedine Boukerche;Richard W. Pazzi;Alejandro C. Frery

Frequent Co-Authors

Osvaldo A. Rosso
Osvaldo A. Rosso National Scientific and Technical Research Council
Antonio A. F. Loureiro
Antonio A. F. Loureiro Universidade Federal de Minas Gerais
Luiz Velho
Luiz Velho Instituto Nacional de Matemática Pura e Aplicada
Azzedine Boukerche
Azzedine Boukerche University of Ottawa
Feng Xu
Feng Xu Fudan University
Heather McNairn
Heather McNairn Environment and Climate Change Canada
Mostafa Fatemi
Mostafa Fatemi Mayo Clinic
Ya-Qiu Jin
Ya-Qiu Jin Fudan University
Paolo Gamba
Paolo Gamba University of Pavia
Yosio Edemir Shimabukuro
Yosio Edemir Shimabukuro National Institute for Space Research

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