World's Best Scientists 2026 revealed!
Aleksandra Pizurica

Aleksandra Pizurica

D-Index & Metrics

Computer Science

D-Index
41
Citations
8478
World Ranking
8727
National Ranking
84

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.

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: 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.

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.

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: 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.

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

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