World's Best Scientists 2026 revealed!
Andrea Garzelli

Andrea Garzelli

D-Index & Metrics

Computer Science

D-Index
43
Citations
11240
World Ranking
7821
National Ranking
199

Andrea Garzelli 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 Andrea Garzelli 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: 225 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

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

Andrea Garzelli 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 Andrea Garzelli 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: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Andrea Garzelli is affiliated with the University of Siena in Italy. Their research primarily spans the fields of engineering and computer science, with a focus on media technology and computer vision and pattern recognition. The work also touches on aerospace engineering, artificial intelligence, and environmental engineering as important subfields of study.

Their main research topics include advanced image fusion techniques, remote-sensing image classification, image and signal denoising methods, geochemistry and geologic mapping, image enhancement techniques, synthetic aperture radar (SAR) applications and techniques, and remote sensing in agriculture.

Andrea Garzelli has published multiple research papers in recognized venues. Notable recent papers include:

  • A New Benchmark Based on Recent Advances in Multispectral Pansharpening: Revisiting Pansharpening With Classical and Emerging Pansharpening Methods (2020, IEEE Geoscience and Remote Sensing Magazine)
  • A Benchmarking Protocol for Pansharpening: Dataset, Preprocessing, and Quality Assessment (2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing)
  • Full-Resolution Quality Assessment of Pansharpening: Theoretical and hands-on approaches (2022, IEEE Geoscience and Remote Sensing Magazine)
  • Comparison of Machine Learning Methods Applied to SAR Images for Forest Classification in Mediterranean Areas (2020, Remote Sensing)
  • Panchromatic and Hyperspectral Image Fusion: Outcome of the 2022 WHISPERS Hyperspectral Pansharpening Challenge (2022, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing)

The frequent coauthors with whom Andrea Garzelli has collaborated include Luciano Alparone, Alberto Arienzo, Gemine Vivone, Jocelyn Chanussot, and Simone Lolli.

Their publications have appeared regularly in several key scientific journals and magazines such as Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Geoscience and Remote Sensing Magazine, Journal of Applied Remote Sensing, and Urban Climate. The distribution of publications shows a strong presence especially in Remote Sensing and IEEE journals focused on applied earth observations and geoscience.

Best Publications

  • A Critical Comparison Among Pansharpening Algorithms

    Gemine Vivone;Luciano Alparone;Jocelyn Chanussot;Mauro Dalla Mura

  • Context-driven fusion of high spatial and spectral resolution images based on oversampled multiresolution analysis

    B. Aiazzi;L. Alparone;S. Baronti;A. Garzelli

  • MTF-tailored Multiscale Fusion of High-resolution MS and Pan Imagery

    B Aiazzi;L Alparone;S Baronti;Andrea Garzelli

  • Remote sensing image fusion using the curvelet transform

    Filippo Nencini;Andrea Garzelli;Stefano Baronti;Luciano Alparone

  • Multispectral and panchromatic data fusion assessment without reference

    Luciano Alparone;Bruno Aiazzi;Stefano Baronti;Andrea Garzelli

  • A global quality measurement of pan-sharpened multispectral imagery

    L. Alparone;S. Baronti;A. Garzelli;F. Nencini

  • Optimal MMSE Pan Sharpening of Very High Resolution Multispectral Images

    A. Garzelli;F. Nencini;L. Capobianco

  • Hypercomplex Quality Assessment of Multi/Hyperspectral Images

    A. Garzelli;F. Nencini

  • A New Benchmark Based on Recent Advances in Multispectral Pansharpening: Revisiting Pansharpening With Classical and Emerging Pansharpening Methods

    Gemine Vivone;Mauro Dalla Mura;Andrea Garzelli;Rocco Restaino

  • Landsat ETM+ and SAR image fusion based on generalized intensity Modulation

    L. Alparone;S. Baronti;A. Garzelli;F. Nencini

  • Leveraging Multiscale Hessian-Based Enhancement With a Novel Exudate Inpainting Technique for Retinal Vessel Segmentation

    Roberto Annunziata;Andrea Garzelli;Lucia Ballerini;Alessandro Mecocci

  • An MTF-based spectral distortion minimizing model for pan-sharpening of very high resolution multispectral images of urban areas

    B. Aiazzi;L. Alparone;S. Baronti;A. Garzelli

  • Haze Correction for Contrast-Based Multispectral Pansharpening

    Simone Lolli;Luciano Alparone;Andrea Garzelli;Gemine Vivone

  • A Theoretical Analysis of the Effects of Aliasing and Misregistration on Pansharpened Imagery

    S Baronti;B Aiazzi;M Selva;A Garzelli

  • Interband structure modeling for Pan-sharpening of very high-resolution multispectral images

    Andrea Garzelli;Filippo Nencini

  • Analysis of the Effects of Pansharpening in Change Detection on VHR Images

    F. Bovolo;L. Bruzzone;L. Capobianco;A. Garzelli

  • Spatial Methods for Multispectral Pansharpening: Multiresolution Analysis Demystified

    Luciano Alparone;Stefano Baronti;Bruno Aiazzi;Andrea Garzelli

  • Remote Sensing Image Fusion

    Unknown

  • Pansharpening of Multispectral Images Based on Nonlocal Parameter Optimization

    Andrea Garzelli

  • Remote Sensing Image Fusion

    Luciano Alparone;Bruno Aiazzi;Stefano Baronti;Andrea Garzelli

  • A Benchmarking Protocol for Pansharpening: Dataset, Preprocessing, and Quality Assessment

    Gemine Vivone;Mauro Dalla Mura;Andrea Garzelli;Fabio Pacifici

  • Context-Driven Fusion of High Spatial and Spectral Resolution Images Based on Oversampled

    Bruno Aiazzi;Luciano Alparone;Stefano Baronti;Andrea Garzelli

Frequent Co-Authors

Luciano Alparone
Luciano Alparone University of Florence
Stefano Baronti
Stefano Baronti National Research Council (CNR)
Bruno Aiazzi
Bruno Aiazzi National Research Council (CNR)
Mauro Barni
Mauro Barni University of Siena
Gemine Vivone
Gemine Vivone National Research Council (CNR)
Paolo Gamba
Paolo Gamba University of Pavia
Marco Martorella
Marco Martorella University of Birmingham
Enrico Magli
Enrico Magli Polytechnic University of Turin
Lorenzo Bruzzone
Lorenzo Bruzzone University of Trento
Simonetta Paloscia
Simonetta Paloscia National Research Council (CNR)

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