World's Best Scientists 2026 revealed!
Francesca Bovolo

Francesca Bovolo

D-Index & Metrics

Computer Science

D-Index
55
Citations
12026
World Ranking
4319
National Ranking
90

Francesca Bovolo 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 Francesca Bovolo 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: 278 publications — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Francesca Bovolo 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 Francesca Bovolo 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: 55 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Overview

Francesca Bovolo is affiliated with the Fondazione Bruno Kessler in Italy. Their research spans multiple fields, including Environmental Science, Engineering, and Earth and Planetary Sciences. Within these broad areas, key subfields of study for Francesca Bovolo include Media Technology, Ecology, Atmospheric Science, Computer Vision and Pattern Recognition, and Oceanography.

Their scholarly work covers numerous topics with a focus on Remote-Sensing Image Classification, Remote Sensing in Agriculture, Remote Sensing and Land Use, Marine and Coastal Ecosystems, Remote Sensing and LiDAR Applications, Water Quality Monitoring and Analysis, and Anomaly Detection Techniques and Applications.

Francesca Bovolo has contributed to a variety of journals and conference proceedings. Frequent publication venues include:

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

Selected recent papers authored or co-authored by Francesca Bovolo include:

  • Change Detection From Very-High-Spatial-Resolution Optical Remote Sensing Images: Methods, applications, and future directions, 2021, IEEE Geoscience and Remote Sensing Magazine
  • Building Change Detection in VHR SAR Images via Unsupervised Deep Transcoding, 2020, IEEE Transactions on Geoscience and Remote Sensing
  • Automatic Pleural Line Extraction and COVID-19 Scoring From Lung Ultrasound Data, 2020, IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control
  • Water Quality Retrieval from PRISMA Hyperspectral Images: First Experience in a Turbid Lake and Comparison with Sentinel-2, 2020, Remote Sensing
  • Semisupervised Change Detection Using Graph Convolutional Network, 2020, IEEE Geoscience and Remote Sensing Letters

Regular collaborators in Francesca Bovolo's research include Lorenzo Bruzzone, Milad Niroumand-Jadidi, Sudipan Saha, Luca Bergamasco, and Alberto Moreira.

Best Publications

  • A Theoretical Framework for Unsupervised Change Detection Based on Change Vector Analysis in the Polar Domain

    F. Bovolo;L. Bruzzone

  • Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art

    Pedram Ghamisi;Behnood Rasti;Naoto Yokoya;Qunming Wang

  • A detail-preserving scale-driven approach to change detection in multitemporal SAR images

    F. Bovolo;L. Bruzzone

  • Unsupervised Deep Change Vector Analysis for Multiple-Change Detection in VHR Images

    Sudipan Saha;Francesca Bovolo;Lorenzo Bruzzone

  • Fast and Robust Matching for Multimodal Remote Sensing Image Registration

    Yuanxin Ye;Lorenzo Bruzzone;Jie Shan;Francesca Bovolo

  • A Framework for Automatic and Unsupervised Detection of Multiple Changes in Multitemporal Images

    Francesca Bovolo;S. Marchesi;L. Bruzzone

  • A Novel Framework for the Design of Change-Detection Systems for Very-High-Resolution Remote Sensing Images

    L. Bruzzone;F. Bovolo

  • A Review of Change Detection in Multitemporal Hyperspectral Images: Current Techniques, Applications, and Challenges

    Sicong Liu;Daniele Marinelli;Lorenzo Bruzzone;Francesca Bovolo

  • A Novel Approach to Unsupervised Change Detection Based on a Semisupervised SVM and a Similarity Measure

    F. Bovolo;L. Bruzzone;M. Marconcini

  • A Split-Based Approach to Unsupervised Change Detection in Large-Size Multitemporal Images: Application to Tsunami-Damage Assessment

    F. Bovolo;L. Bruzzone

  • Supervised change detection in VHR images using contextual information and support vector machines

    Michele Volpi;Devis Tuia;Francesca Bovolo;Mikhail F. Kanevski

  • Semisupervised One-Class Support Vector Machines for Classification of Remote Sensing Data

    Jordi Mũnoz-Marí;Francesca Bovolo;Luis Gómez-Chova;Lorenzo Bruzzone

  • Building Change Detection in Multitemporal Very High Resolution SAR Images

    Carlo Marin;Francesca Bovolo;Lorenzo Bruzzone

  • Updating Land-Cover Maps by Classification of Image Time Series: A Novel Change-Detection-Driven Transfer Learning Approach

    B. Demir;F. Bovolo;L. Bruzzone

  • Change Detection From Very-High-Spatial-Resolution Optical Remote Sensing Images: Methods, applications, and future directions

    Dawei Wen;Xin Huang;Francesca Bovolo;Jiayi Li

  • A Multilevel Parcel-Based Approach to Change Detection in Very High Resolution Multitemporal Images

    F. Bovolo

  • Sequential Spectral Change Vector Analysis for Iteratively Discovering and Detecting Multiple Changes in Hyperspectral Images

    Sicong Liu;Lorenzo Bruzzone;Francesca Bovolo;Massimo Zanetti

  • A Context-Sensitive Technique for Unsupervised Change Detection Based on Hopfield-Type Neural Networks

    S. Ghosh;L. Bruzzone;S. Patra;F. Bovolo

  • The Time Variable in Data Fusion: A Change Detection Perspective

    Francesca Bovolo;Lorenzo Bruzzone

  • Hierarchical Unsupervised Change Detection in Multitemporal Hyperspectral Images

    Sicong Liu;Lorenzo Bruzzone;Francesca Bovolo;Peijun Du

  • Building Change Detection in VHR SAR Images via Unsupervised Deep Transcoding

    Sudipan Saha;Francesca Bovolo;Lorenzo Bruzzone

  • An Unsupervised Technique Based on Morphological Filters for Change Detection in Very High Resolution Images

    M. Dalla Mura;J.A. Benediktsson;F. Bovolo;L. Bruzzone

  • A multilevel parcel-based approach to change detection in very high resolution multitemporal images

    F. Bovolo;L. Bruzzone

Frequent Co-Authors

Lorenzo Bruzzone
Lorenzo Bruzzone University of Trento
Begum Demir
Begum Demir Technical University of Berlin
Peijun Du
Peijun Du Nanjing University
Jon Atli Benediktsson
Jon Atli Benediktsson University of Iceland
Subhasis Chaudhuri
Subhasis Chaudhuri Indian Institute of Technology Bombay
Claudia Notarnicola
Claudia Notarnicola European Academy of Bozen
Roberto Orosei
Roberto Orosei National Institute for Astrophysics
Bruce A. Campbell
Bruce A. Campbell Smithsonian Institution
Jeffrey J. Plaut
Jeffrey J. Plaut Jet Propulsion Lab
Donald D. Blankenship
Donald D. Blankenship The University of Texas at Austin

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