World's Best Scientists 2026 revealed!
Farid Melgani

Farid Melgani

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Computer Science
Italy
2025

D-Index & Metrics

Computer Science

D-Index
58
Citations
12696
World Ranking
3648
National Ranking
73

Farid Melgani 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 Farid Melgani 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: 242 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.

Farid Melgani 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 Farid Melgani 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: 58 D-Index — 75th percentile

75% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2025 - Research.com Computer Science in Italy Leader Award
  • 2023 - Research.com Computer Science in Italy Leader Award
  • 2022 - Research.com Computer Science in Italy Leader Award
  • 2016 - IEEE Fellow For contributions to image analysis in remote sensing

Overview

Farid Melgani is affiliated with the University of Trento in Italy and has made contributions primarily in the fields of Computer Science and Engineering. Their research focuses on several subfields, including Computer Vision and Pattern Recognition, Artificial Intelligence, Plant Science, Ecology, and Media Technology.

The scientist's scholarly work covers a range of topics, centering on Multimodal Machine Learning Applications, Advanced Image and Video Retrieval Techniques, Remote Sensing in Agriculture, Remote-Sensing Image Classification, Smart Agriculture and AI, Domain Adaptation and Few-Shot Learning, as well as Spectroscopy and Chemometric Analyses.

Notable recent publications by Farid Melgani include:

  • "A comprehensive review of hybrid models for solar radiation forecasting," 2020, Journal of Cleaner Production
  • "Toward Remote Sensing Image Retrieval Under a Deep Image Captioning Perspective," 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • "GPR B scan image analysis with deep learning methods," 2020, Measurement
  • "Bi-Modal Transformer-Based Approach for Visual Question Answering in Remote Sensing Imagery," 2022, IEEE Transactions on Geoscience and Remote Sensing
  • "Change Captioning: A New Paradigm for Multitemporal Remote Sensing Image Analysis," 2022, IEEE Transactions on Geoscience and Remote Sensing

Frequent coauthors collaborating with this researcher include Yakoub Bazi, Riccardo Ricci, Genc Hoxha, Mohamed Lamine Mekhalfi, and Mohamad Mahmoud Al Rahhal.

The scientist has published extensively in several key academic venues, including:

  • Remote Sensing
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • IEEE Transactions on Geoscience and Remote Sensing
  • International Journal of Remote Sensing
  • Journal of Personalized Medicine

In recognition of contributions to the field, Farid Melgani was named an IEEE Fellow in 2016 for work specifically related to image analysis in remote sensing.

Best Publications

  • Classification of hyperspectral remote sensing images with support vector machines

    F. Melgani;L. Bruzzone

  • An unsupervised approach based on the generalized Gaussian model to automatic change detection in multitemporal SAR images

    Y. Bazi;L. Bruzzone;F. Melgani

  • Deep learning approach for active classification of electrocardiogram signals

    M.M. Al Rahhal;Yakoub Bazi;Haikel AlHichri;Naif Alajlan

  • Classification of Electrocardiogram Signals With Support Vector Machines and Particle Swarm Optimization

    F. Melgani;Y. Bazi

  • Toward an Optimal SVM Classification System for Hyperspectral Remote Sensing Images

    Y. Bazi;F. Melgani

  • Image thresholding based on the EM algorithm and the generalized Gaussian distribution

    Yakoub Bazi;Lorenzo Bruzzone;Farid Melgani

  • Nearest Neighbor Classification of Remote Sensing Images With the Maximal Margin Principle

    E. Blanzieri;F. Melgani

  • Automatic Analysis of GPR Images: A Pattern-Recognition Approach

    E. Pasolli;F. Melgani;M. Donelli

  • A Convolutional Neural Network Approach for Assisting Avalanche Search and Rescue Operations with UAV Imagery

    Mesay Belete Bejiga;Abdallah Zeggada;Abdelhamid Nouffidj;Farid Melgani

  • A comprehensive review of hybrid models for solar radiation forecasting

    Mawloud Guermoui;Farid Melgani;Kacem Gairaa;Mohamed Lamine Mekhalfi

  • Automatic Car Counting Method for Unmanned Aerial Vehicle Images

    Thomas Moranduzzo;Farid Melgani

  • One‐dimensional convolutional neural networks for spectroscopic signal regression

    Salim Malek;Farid Melgani;Yakoub Bazi

  • Detecting Cars in UAV Images With a Catalog-Based Approach

    Unknown

  • Robust support vector regression for biophysical variable estimation from remotely sensed images

    G. Camps-Valls;L. Bruzzone;J.L. Rojo-Alvarez;F. Melgani

  • A wavelet optimization approach for ECG signal classification

    Abdelhamid Daamouche;Latifa Hamami;Naif Alajlan;Farid Melgani

  • Computer vision-based phenotyping for improvement of plant productivity: a machine learning perspective

    Keiichi Mochida;Satoru Koda;Komaki Inoue;Takashi Hirayama

  • A Markov random field approach to spatio-temporal contextual image classification

    F. Melgani;S.B. Serpico

  • Contextual reconstruction of cloud-contaminated multitemporal multispectral images

    F. Melgani

  • Clustering of Hyperspectral Images Based on Multiobjective Particle Swarm Optimization

    A. Paoli;F. Melgani;E. Pasolli

  • Unsupervised change-detection methods for remote-sensing images

    Farid Melgani;Gabriele Moser;Sebastiano Bruno Serpico

  • Unsupervised Change Detection in Multispectral Remotely Sensed Imagery With Level Set Methods

    Yakoub Bazi;Farid Melgani;Hamed D Al-Sharari

  • SVM Active Learning Approach for Image Classification Using Spatial Information

    Edoardo Pasolli;Farid Melgani;Devis Tuia;Fabio Pacifici

  • Domain Adaptation Network for Cross-Scene Classification

    Esam Othman;Yakoub Bazi;Farid Melgani;Haikel Alhichri

  • Using convolutional features and a sparse autoencoder for land-use scene classification

    Esam Othman;Yakoub Bazi;Naif Alajlan;Haikel Alhichri

Frequent Co-Authors

Yakoub Bazi
Yakoub Bazi King Saud University
Naif Alajlan
Naif Alajlan King Saud University
Lorenzo Bruzzone
Lorenzo Bruzzone University of Trento
Sebastiano B. Serpico
Sebastiano B. Serpico University of Genoa
Ronald R. Yager
Ronald R. Yager Iona University
Massimo Donelli
Massimo Donelli University of Trento
Gabriele Moser
Gabriele Moser University of Genoa
Begum Demir
Begum Demir Technical University of Berlin
William J. Emery
William J. Emery University of Colorado Boulder

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