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Lorenzo Bruzzone

Lorenzo Bruzzone

Lorenzo Bruzzone publications per year

The chart shows the history of publications by Lorenzo Bruzzone between 1994 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Lorenzo Bruzzone published across 32 years, from 1994 to 2025, averaging 30.4 papers a year. Output peaked at 78 publications in 2021. 93 of the 972 publications appeared in the last two years.

No. of publications
25 50 75
Bar chart. Horizontal axis: year, 1994 to 2025. Vertical axis: number of publications, 0 to 78. Peak 78 publications in 2021. 1994: 1 publication 1995: 5 publications 1996: 5 publications 1997: 6 publications 1998: 7 publications 1999: 8 publications 2000: 10 publications 2001: 6 publications 2002: 12 publications 2003: 10 publications 2004: 16 publications 2005: 21 publications 2006: 22 publications 2007: 27 publications 2008: 19 publications 2009: 30 publications 2010: 38 publications 2011: 40 publications 2012: 38 publications 2013: 35 publications 2014: 41 publications 2015: 47 publications 2016: 45 publications 2017: 52 publications 2018: 54 publications 2019: 63 publications 2020: 48 publications 2021: 78 publications 2022: 51 publications 2023: 44 publications 2024: 55 publications 2025: 38 publications
1994 2025

972 publications in total across all disciplines

View publications per year as a table
Lorenzo Bruzzone: publications per year, 1994 to 2025
Year Publications
1994 1
1995 5
1996 5
1997 6
1998 7
1999 8
2000 10
2001 6
2002 12
2003 10
2004 16
2005 21
2006 22
2007 27
2008 19
2009 30
2010 38
2011 40
2012 38
2013 35
2014 41
2015 47
2016 45
2017 52
2018 54
2019 63
2020 48
2021 78
2022 51
2023 44
2024 55
2025 38
Total 972
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Lorenzo Bruzzone publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Lorenzo Bruzzone sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 53 bars. Horizontal axis: publications, 34–53 to 1,065+. Vertical axis: number of scientists, 0 to 445. Most scientists, 445, have 174–193 publications. The last bar groups every scientist with 1,065 publications or more. 34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34–53 publications 1,065+

The last bar groups every scientist with 1,065 publications or more.

View publications distribution as a table
Number of Electronics and Electrical Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
Publications Scientists
34–53 24
54–73 52
74–93 114
94–113 203
114–133 269
134–153 355
154–173 403
174–193 445
194–213 430
214–233 431
234–253 399
254–273 366
274–293 335
294–313 300
314–333 276
334–353 250
354–373 214
374–393 187
394–413 152
414–433 169
434–453 147
454–473 111
474–493 117
494–513 103
514–533 99
534–553 92
554–573 75
574–593 58
594–613 69
614–633 50
634–653 62
654–673 54
674–693 44
694–713 37
714–733 28
734–753 26
754–773 26
774–793 19
794–813 23
814–833 20
834–853 16
854–873 20
874–893 11
894–913 11
914–933 16
934–953 13
954–973 10
974–993 11
994–1,013 9
1,014–1,033 9
1,034–1,053 10
1,054–1,064 6
1,065+ 99
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Lorenzo Bruzzone D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Lorenzo Bruzzone sits on this spectrum.

No. of scientists
50 100 150 200 250
Bar chart with 82 bars. Horizontal axis: D-Index, 30 to 111+. Vertical axis: number of scientists, 0 to 263. Most scientists, 263, have 32 D-Index. The last bar groups every scientist with 111 D-Index or more. 30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

The last bar groups every scientist with 111 D-Index or more.

View D-Index distribution as a table
Number of Electronics and Electrical Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
D-Index Scientists
30 178
31 257
32 263
33 262
34 244
35 236
36 211
37 220
38 214
39 214
40 205
41 187
42 194
43 201
44 155
45 189
46 148
47 160
48 134
49 130
50 141
51 156
52 108
53 130
54 112
55 97
56 111
57 102
58 108
59 120
60 103
61 93
62 92
63 74
64 77
65 73
66 64
67 69
68 60
69 39
70 57
71 59
72 46
73 49
74 38
75 35
76 32
77 35
78 31
79 22
80 34
81 31
82 34
83 23
84 18
85 30
86 19
87 19
88 20
89 8
90 17
91 7
92 14
93 9
94 15
95 10
96 12
97 10
98 10
99 12
100 16
101 5
102 7
103 7
104 8
105 9
106 13
107 4
108 5
109 10
110 8
111+ 96
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Research.com Recognitions

  • 2010 - IEEE Fellow For contributions to pattern recognition and image processing for remote sensing

Overview

Lorenzo Bruzzone is affiliated with the University of Trento in Italy and has contributed extensively to the field of engineering, focusing particularly on remote sensing and image processing. Their research encompasses several interrelated subfields including media technology, astronomy and astrophysics, atmospheric science, computer vision and pattern recognition, and ecology.

Their work covers multiple main topics, emphasizing remote-sensing image classification, remote sensing and land use, and remote sensing in agriculture. Additional research interests include advanced image fusion techniques, planetary science and exploration, astro and planetary science, and advanced image and video retrieval techniques.

Lorenzo Bruzzone has a significant publication record in key venues such as:

  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • IEEE Geoscience and Remote Sensing Letters
  • arXiv (Cornell University)
  • IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium

Recent notable papers include:

  • "Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification" (2020), published in IEEE Transactions on Geoscience and Remote Sensing
  • "LANet: Local Attention Embedding to Improve the Semantic Segmentation of Remote Sensing Images" (2020), published in IEEE Transactions on Geoscience and Remote Sensing
  • "SemiCDNet: A Semisupervised Convolutional Neural Network for Change Detection in High Resolution Remote-Sensing Images" (2020), published in IEEE Transactions on Geoscience and Remote Sensing
  • "Bi-Temporal Semantic Reasoning for the Semantic Change Detection in HR Remote Sensing Images" (2022), published in IEEE Transactions on Geoscience and Remote Sensing
  • "Building Change Detection in VHR SAR Images via Unsupervised Deep Transcoding" (2020), published in IEEE Transactions on Geoscience and Remote Sensing

Frequent co-authors associated with their research include:

  • Francesca Bovolo
  • Leonardo Carrer
  • D Kunkee
  • John P. Kerekes
  • William J. Emery

Their academic recognition includes being named an IEEE Fellow in 2010 for contributions to pattern recognition and image processing for remote sensing.

Best Publications

  • Recent Advances in Techniques for Hyperspectral Image Processing

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

  • Automatic analysis of the difference image for unsupervised change detection

    L. Bruzzone;D.F. Prieto

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

    Y. Bazi;L. Bruzzone;F. Melgani

  • Morphological Attribute Profiles for the Analysis of Very High Resolution Images

    M Dalla Mura;J Atli Benediktsson;B Waske;L Bruzzone

  • Advances in Hyperspectral Image Classification: Earth Monitoring with Statistical Learning Methods

    Gustavo Camps-Valls;Devis Tuia;Lorenzo Bruzzone;Jon Atli Benediktsson

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

    F. Bovolo;L. Bruzzone

  • Earthquake Damage Assessment of Buildings Using VHR Optical and SAR Imagery

    Dominik Brunner;Guido Lemoine;Lorenzo Bruzzone

  • Image fusion techniques for remote sensing applications

    Giovanni Simone;Alfonso Farina;Francesco Carlo Morabito;Sebastiano B. Serpico

  • An adaptive semiparametric and context-based approach to unsupervised change detection in multitemporal remote-sensing images

    L. Bruzzone;D.F. Prieto

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

    F. Bovolo;L. Bruzzone

  • Extended profiles with morphological attribute filters for the analysis of hyperspectral data

    Mauro Dalla Mura;Jon Atli Benediktsson;Bjorn Waske;Lorenzo Bruzzone

  • 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 Transfer Component Analysis for Domain Adaptation in Remote Sensing Image Classification

    Giona Matasci;Michele Volpi;Mikhail Kanevski;Lorenzo Bruzzone

  • An advanced system for the automatic classification of multitemporal SAR images

    L. Bruzzone;M. Marconcini;U. Wegmuller;A. Wiesmann

  • Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery

    Lichao Mou;Lorenzo Bruzzone;Xiao Xiang Zhu

  • Building Change Detection in Multitemporal Very High Resolution SAR Images

    Carlo Marin;Francesca Bovolo;Lorenzo Bruzzone

  • A Support Vector Domain Description Approach to Supervised Classification of Remote Sensing Images

    J. Munoz-Marf;L. Bruzzone;G. Camps-Vails

  • Building Height Retrieval From VHR SAR Imagery Based on an Iterative Simulation and Matching Technique

    D. Brunner;G. Lemoine;L. Bruzzone;H. Greidanus

  • Robust Registration of Multimodal Remote Sensing Images Based on Structural Similarity

    Yuanxin Ye;Jie Shan;Lorenzo Bruzzone;Li Shen

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