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Aleksandra Pizurica

Aleksandra Pizurica

Ghent University
Belgium

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 41 8727 8478 84 79 393 8478

Aleksandra Pizurica publications per year

The chart shows the history of publications by Aleksandra Pizurica between 1999 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Aleksandra Pizurica published across 27 years, from 1999 to 2025, averaging 16.3 papers a year. Output peaked at 35 publications in 2007. 32 of the 439 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1999 to 2025. Vertical axis: number of publications, 0 to 35. Peak 35 publications in 2007. 1999: 6 publications 2000: 12 publications 2001: 4 publications 2002: 3 publications 2003: 7 publications 2004: 9 publications 2005: 15 publications 2006: 23 publications 2007: 35 publications 2008: 32 publications 2009: 17 publications 2010: 16 publications 2011: 34 publications 2012: 25 publications 2013: 21 publications 2014: 16 publications 2015: 13 publications 2016: 15 publications 2017: 9 publications 2018: 12 publications 2019: 20 publications 2020: 18 publications 2021: 20 publications 2022: 14 publications 2023: 11 publications 2024: 15 publications 2025: 17 publications
1999 2025

439 publications in total across all disciplines

View publications per year as a table
Aleksandra Pizurica: publications per year, 1999 to 2025
Year Publications
1999 6
2000 12
2001 4
2002 3
2003 7
2004 9
2005 15
2006 23
2007 35
2008 32
2009 17
2010 16
2011 34
2012 25
2013 21
2014 16
2015 13
2016 15
2017 9
2018 12
2019 20
2020 18
2021 20
2022 14
2023 11
2024 15
2025 17
Total 439
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Aleksandra Pizurica 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 Aleksandra Pizurica 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, 392–401 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: 393 publications — 86th percentile

86% 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
392–401 128 393
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
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

Aleksandra Pizurica 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 Aleksandra Pizurica 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, 40–41 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: 41 D-Index — 40th percentile

40% 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 41
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
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

Overview

Aleksandra Pizurica is affiliated with Ghent University in Belgium and has a significant body of research in computer science and engineering. Their work is primarily focused on the subfields of computer vision and pattern recognition, media technology, radiology, nuclear medicine and imaging, biomedical engineering, and atmospheric science.

The main topics covered in their research include:

  • Remote-Sensing Image Classification
  • Image Retrieval and Classification Techniques
  • Remote Sensing and Land Use
  • Image and Signal Denoising Methods
  • Advanced Image Fusion Techniques
  • Advanced Image and Video Retrieval Techniques
  • Sparse and Compressive Sensing Techniques

Aleksandra Pizurica has published extensively in various venues, with notable frequent publication outlets including:

  • IEEE Transactions on Geoscience and Remote Sensing
  • arXiv (Cornell University)
  • Sensors
  • Ghent University Academic Bibliography (Ghent University)
  • Remote Sensing

Their recent papers illustrate a focus on hyperspectral imaging, deep learning applications, and biomedical image segmentation. Selected examples include:

  • "Subspace Clustering for Hyperspectral Images via Dictionary Learning With Adaptive Regularization" (2021, IEEE Transactions on Geoscience and Remote Sensing)
  • "Crack Detection in Paintings Using Convolutional Neural Networks" (2020, IEEE Access)
  • "Overview of the Whole Heart and Heart Chamber Segmentation Methods" (2020, Cardiovascular Engineering and Technology)
  • "Understanding Skin Color Bias in Deep Learning-Based Skin Lesion Segmentation" (2024, Computer Methods and Programs in Biomedicine)
  • "Heterogeneous Regularization-Based Tensor Subspace Clustering for Hyperspectral Band Selection" (2022, IEEE Transactions on Neural Networks and Learning Systems)

The scientist has collaborated frequently with several researchers, indicating an active role in collaborative studies. Among the frequent coauthors are:

  • Shaoguang Huang
  • Irena Galić
  • Xian Li
  • Emmanuel Audenaert
  • Hongyan Zhang

Overall, Aleksandra Pizurica's research spans multiple technical domains within computer science and engineering, emphasizing remote sensing, image analysis, and biomedical applications. Their publications reflect a commitment to advancing methods in image classification, segmentation, and fusion techniques across various scientific and technological contexts.

Best Publications

  • A versatile wavelet domain noise filtration technique for medical imaging

    A. Pizurica;W. Philips;I. Lemahieu;M. Acheroy

  • Hyperspectral and LiDAR Data Fusion: Outcome of the 2013 GRSS Data Fusion Contest

    Christian Debes;Andreas Merentitis;Roel Heremans;Jürgen T. Hahn

  • Estimating the probability of the presence of a signal of interest in multiresolution single- and multiband image denoising

    A. Pizurica;W. Philips

  • A joint inter- and intrascale statistical model for Bayesian wavelet based image denoising

    A. Pizurica;W. Philips;I. Lemahieu;M. Acheroy

  • Processing of Multiresolution Thermal Hyperspectral and Digital Color Data: Outcome of the 2014 IEEE GRSS Data Fusion Contest

    Wenzhi Liao;Xin Huang;Frieke Van Coillie;Sidharta Gautama

  • A review of wavelet denoising in MRI and ultrasound brain imaging

    Aleksandra Pizurica;Alle M. Wink;Ewout Vansteenkiste;Wilfried Philips

  • Semisupervised Local Discriminant Analysis for Feature Extraction in Hyperspectral Images

    Wenzhi Liao;A. Pizurica;P. Scheunders;W. Philips

  • Context-Aware Patch-Based Image Inpainting Using Markov Random Field Modeling

    Tijana Ruzic;Aleksandra Pizurica

  • Generalized Graph-Based Fusion of Hyperspectral and LiDAR Data Using Morphological Features

    Wenzhi Liao;Aleksandra Pizurica;Rik Bellens;Sidharta Gautama

  • An improved non-local denoising algorithm

    Bart Goossens;Hiep Luong;Aleksandra Pizurica;Wilfried Philips

  • Deep Feature Fusion via Two-Stream Convolutional Neural Network for Hyperspectral Image Classification

    Xian Li;Mingli Ding;Aleksandra Pizurica

  • Fusion of pixel and object-based features for weed mapping using unmanned aerial vehicle imagery

    Junfeng Gao;Wenzhi Liao;David Nuyttens;Peter Lootens

  • The effect of Gibbs ringing artifacts on measures derived from diffusion MRI.

    Daniele Perrone;Jan Aelterman;Aleksandra Pižurica;Ben Jeurissen

  • Crack detection and inpainting for virtual restoration of paintings: The case of the Ghent Altarpiece

    B. Cornelis;T. Ruić;E. Gezels;A. Dooms

  • Wavelet-Domain Video Denoising Based on Reliability Measures

    V. Zlokolica;A. Pizurica;W. Philips

  • Classification of Hyperspectral Data Over Urban Areas Using Directional Morphological Profiles and Semi-Supervised Feature Extraction

    Wenzhi Liao;R. Bellens;A. Pizurica;W. Philips

  • An integrated method of adaptive enhancement for unsupervised segmentation of MRI brain images

    Jing-Hao Xue;Aleksandra Pizurica;Wilfried Philips;Etienne Kerre

  • Hyperspectral Unmixing Using Double Reweighted Sparse Regression and Total Variation

    Rui Wang;Heng-Chao Li;Aleksandra Pizurica;Jun Li

  • Extending the Depth of Field in Microscopy Through Curvelet-Based Frequency-Adaptive Image Fusion

    L. Tessens;A. Ledda;A. Pizurica;W. Philips

  • Rate Allocation Algorithm for Pixel-Domain Distributed Video Coding Without Feedback Channel

    M. Morbee;J. Prades-Nebot;A. Pizurica;W. Philips

Frequent Co-Authors

Wilfried Philips
Wilfried Philips Ghent University
Wenzhi Liao
Wenzhi Liao Ghent University
Ingrid Daubechies
Ingrid Daubechies Duke University
Hongyan Zhang
Hongyan Zhang China University of Geosciences
Etienne Kerre
Etienne Kerre Ghent University
Paul Scheunders
Paul Scheunders University of Antwerp
Jan Sijbers
Jan Sijbers University of Antwerp
Peter Schelkens
Peter Schelkens Vrije Universiteit Brussel
D. De Zutter
D. De Zutter Ghent University
Niko E. C. Verhoest
Niko E. C. Verhoest Ghent University

External Links

Personal website of Aleksandra Pizurica Google Scholar page

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