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Paolo Gamba
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Computer Science
Italy
2025

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 58 3611 3510 68 66 486 14498

Paolo Gamba publications per year

The chart shows the history of publications by Paolo Gamba between 1992 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Paolo Gamba published across 34 years, from 1992 to 2025, averaging 18 papers a year. Output peaked at 39 publications in 2024. 73 of the 613 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1992 to 2025. Vertical axis: number of publications, 0 to 39. Peak 39 publications in 2024. 1992: 1 publication 1993: 0 publications 1994: 1 publication 1995: 1 publication 1996: 12 publications 1997: 20 publications 1998: 12 publications 1999: 16 publications 2000: 16 publications 2001: 15 publications 2002: 15 publications 2003: 20 publications 2004: 8 publications 2005: 11 publications 2006: 17 publications 2007: 16 publications 2008: 19 publications 2009: 21 publications 2010: 22 publications 2011: 33 publications 2012: 24 publications 2013: 18 publications 2014: 25 publications 2015: 30 publications 2016: 28 publications 2017: 14 publications 2018: 22 publications 2019: 21 publications 2020: 18 publications 2021: 17 publications 2022: 12 publications 2023: 35 publications 2024: 39 publications 2025: 34 publications
1992 2025

613 publications in total across all disciplines

View publications per year as a table
Paolo Gamba: publications per year, 1992 to 2025
Year Publications
1992 1
1993 0
1994 1
1995 1
1996 12
1997 20
1998 12
1999 16
2000 16
2001 15
2002 15
2003 20
2004 8
2005 11
2006 17
2007 16
2008 19
2009 21
2010 22
2011 33
2012 24
2013 18
2014 25
2015 30
2016 28
2017 14
2018 22
2019 21
2020 18
2021 17
2022 12
2023 35
2024 39
2025 34
Total 613
Download as CSV

Paolo Gamba 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 Paolo Gamba sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 482–491 publications, is where this scientist sits. 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
32–41 publications 991+

This scientist: 486 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84 486
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Paolo Gamba 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 Paolo Gamba sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 58–59 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400 58
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

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
  • 2020 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to data fusion and remote sensing

Overview

Paolo Gamba is affiliated with the University of Pavia in Italy and has contributed extensively to the field of engineering, focusing primarily on media technology and aerospace engineering, as well as atmospheric science and global and planetary change. Their work spans several disciplines, with a particular emphasis on remote sensing and pattern recognition.

The main topics of Paolo Gamba's research include:

  • Remote-Sensing Image Classification
  • Remote Sensing and Land Use
  • Advanced Image Fusion Techniques
  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Remote Sensing in Agriculture
  • Land Use and Ecosystem Services
  • Flood Risk Assessment and Management

Paolo Gamba has authored numerous publications in prominent venues frequently chosen for remote sensing and geoscience research. The main 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
  • arXiv (Cornell University)
  • Remote Sensing

Notable recent papers include:

  • SpectralGPT: Spectral Remote Sensing Foundation Model, 2024, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Exposure model for European seismic risk assessment, 2020, Earthquake Spectra
  • Deep Autoencoders With Multitask Learning for Bilinear Hyperspectral Unmixing, 2020, IEEE Transactions on Geoscience and Remote Sensing
  • Incorporating synthetic aperture radar and optical images to investigate the annual dynamics of anthropogenic impervious surface at large scale, 2020, Remote Sensing of Environment
  • SpectralGPT: Spectral Remote Sensing Foundation Model, 2023, arXiv (Cornell University)

Frequent collaborators of Paolo Gamba include:

  • Irena Hajnsek
  • Silvia Liberata Ullo
  • D Kunkee
  • Lorenzo Bruzzone
  • John P. Kerekes

The researcher's body of work is documented in over 90 publications primarily within engineering, with a notable focus on remote sensing disciplines. Their studies incorporate a range of methodologies from synthetic aperture radar applications to advanced image fusion techniques targeting environmental and earth observation challenges.

Paolo Gamba received recognition as a Fellow of the International Association for Pattern Recognition (IAPR) in 2020 for contributions to data fusion and remote sensing.

Best Publications

  • Recent Advances in Techniques for Hyperspectral Image Processing

    Antonio Plaza;Jon Atli Benediktsson;Joseph W. Boardman;Jason Brazile

  • Comparison of Pansharpening Algorithms: Outcome of the 2006 GRS-S Data-Fusion Contest

    L.. Alparone;L.. Wald;J.. Chanussot;C.. Thomas

  • Multitemporal settlement and population mapping from Landsat using Google Earth Engine

    Nirav N. Patel;Emanuele Angiuli;Paolo Gamba;Andrea Gaughan

  • Multiple Feature Learning for Hyperspectral Image Classification

    Jun Li;Xin Huang;Paolo Gamba;Jose M. Bioucas Bioucas-Dias

  • Exploiting spectral and spatial information in hyperspectral urban data with high resolution

    F. Dell'Acqua;P. Gamba;A. Ferrari;J.A. Palmason

  • DAEN: Deep Autoencoder Networks for Hyperspectral Unmixing

    Yuanchao Su;Jun Li;Antonio Plaza;Andrea Marinoni

  • Challenges and Opportunities of Multimodality and Data Fusion in Remote Sensing

    M. Dalla Mura;S. Prasad;F. Pacifici;P. Gamba

  • Multi-feature combined cloud and cloud shadow detection in GaoFen-1 wide field of view imagery

    Zhiwei Li;Huanfeng Shen;Huifang Li;Guisong Xia

  • Spectral Superresolution of Multispectral Imagery With Joint Sparse and Low-Rank Learning

    Lianru Gao;Danfeng Hong;Jing Yao;Bing Zhang

  • Texture-based characterization of urban environments on satellite SAR images

    F. Dell'Acqua;P. Gamba

  • Remote Sensing and Earthquake Damage Assessment: Experiences, Limits, and Perspectives

    F. Dell'Acqua;P. Gamba

  • Detection and extraction of buildings from interferometric SAR data

    P. Gamba;B. Houshmand;M. Saccani

  • Decision Fusion for the Classification of Hyperspectral Data: Outcome of the 2008 GRS-S Data Fusion Contest

    G. Licciardi;F. Pacifici;D. Tuia;S. Prasad

  • Fusion of Difference Images for Change Detection Over Urban Areas

    Peijun Du;Sicong Liu;P. Gamba;Kun Tan

  • Neural detection of pipe signatures in ground penetrating radar images

    P. Gamba;S. Lossani

  • Rapid Damage Detection in the Bam Area Using Multitemporal SAR and Exploiting Ancillary Data

    P. Gamba;F. Dell'Acqua;G. Trianni

  • Experimental analysis of RSSI-based indoor localization with IEEE 802.15.4

    Emanuele Goldoni;Alberto Savioli;Marco Risi;Paolo Gamba

  • Electromagnetic detection of dielectric cylinders by a neural network approach

    S. Caorsi;P. Gamba

  • Change Detection of Multitemporal SAR Data in Urban Areas Combining Feature-Based and Pixel-Based Techniques

    P. Gamba;F. Dell'Acqua;G. Lisini

  • Improving urban road extraction in high-resolution images exploiting directional filtering, perceptual grouping, and simple topological concepts

    P. Gamba;F. Dell'Acqua;G. Lisini

  • Detection of urban structures in SAR images by robust fuzzy clustering algorithms: the example of street tracking

    F. Dell'Acqua;P. Gamba

  • Urban Observing Sensors

    Q. Weng;P. Gamba;G. Mountrakis;M. Pesaresi

Frequent Co-Authors

Antonio Plaza
Antonio Plaza University of Extremadura
Jocelyn Chanussot
Jocelyn Chanussot Grenoble Alpes University
Jon Atli Benediktsson
Jon Atli Benediktsson University of Iceland
Peijun Du
Peijun Du Nanjing University
Andrea Garzelli
Andrea Garzelli University of Siena
Pierfrancesco Lombardo
Pierfrancesco Lombardo Sapienza University of Rome
Yifang Ban
Yifang Ban Royal Institute of Technology
Javier Plaza
Javier Plaza University of Extremadura
Marco Martorella
Marco Martorella University of Birmingham
Lianru Gao
Lianru Gao Aerospace Information Research Institute

External Links

Personal website of Paolo Gamba Google Scholar page

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Best Scientists Citing Paolo Gamba

Antonio Plaza

Antonio Plaza

University of Extremadura

Publications: 155

Jocelyn Chanussot

Jocelyn Chanussot

Grenoble Alpes University

Publications: 130

Liangpei Zhang

Liangpei Zhang

Wuhan University

Publications: 94

Jon Atli Benediktsson

Jon Atli Benediktsson

University of Iceland

Publications: 91

Peijun Du

Peijun Du

Nanjing University

Publications: 56

Lorenzo Bruzzone

Lorenzo Bruzzone

University of Trento

Publications: 53

Qian Du

Qian Du

Mississippi State University

Publications: 48

Shutao Li

Shutao Li

Hunan University

Publications: 45

Hassan Ghassemian

Hassan Ghassemian

Tarbiat Modares University

Publications: 42

Jose M. Bioucas-Dias

Jose M. Bioucas-Dias

Instituto Superior Técnico

Publications: 40

Devis Tuia

Devis Tuia

École Polytechnique Fédérale de Lausanne

Publications: 39

Xiuping Jia

Xiuping Jia

University of New South Wales

Publications: 36

Licheng Jiao

Licheng Jiao

Xidian University

Publications: 36

Hannes Taubenböck

Hannes Taubenböck

German Aerospace Center

Publications: 36

Mauro Dalla Mura

Mauro Dalla Mura

Grenoble Alpes University

Publications: 35

Lianru Gao

Lianru Gao

Aerospace Information Research Institute

Publications: 34

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