World's Best Scientists 2026 revealed!
Alessandro Foi

Alessandro Foi

D-Index & Metrics

Computer Science

D-Index
39
Citations
21714
World Ranking
9465
National Ranking
79

Alessandro Foi 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 Alessandro Foi 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: 101 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

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

Alessandro Foi 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 Alessandro Foi 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Alessandro Foi is affiliated with Tampere University in Finland and specializes in research within the field of Engineering. Their research is particularly focused on several subfields including Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Atomic and Molecular Physics and Optics, and Biomedical Engineering.

Their scholarly work spans a range of topics primarily related to imaging and signal processing technologies. Key topics covered by their research include:

  • Image and Signal Denoising Methods
  • Advanced Fiber Laser Technologies
  • Optical Network Technologies
  • Medical Imaging Techniques and Applications
  • Photonic Crystal and Fiber Optics
  • Advanced X-ray and CT Imaging
  • Advanced X-ray Imaging Techniques

Alessandro Foi has contributed to multiple publications, including work published in venues like Zenodo (CERN European Organization for Nuclear Research), Journal of Synchrotron Radiation, Proceedings of the International Society for Magnetic Resonance in Medicine Scientific Meeting and Exhibition, Nature Machine Intelligence, and IEEE Transactions on Image Processing.

Their recent papers include:

  • Predicting ultrafast nonlinear dynamics in fibre optics with a recurrent neural network, 2021, Nature Machine Intelligence
  • Collaborative Filtering of Correlated Noise: Exact Transform-Domain Variance for Improved Shrinkage and Patch Matching, 2020, IEEE Transactions on Image Processing
  • Feed-forward neural network as nonlinear dynamics integrator for supercontinuum generation, 2022, Optics Letters
  • Mimicking Barkhausen noise measurement by in-situ transmission electron microscopy - effect of microstructural steel features on Barkhausen noise, 2021, Acta Materialia
  • Ring artifact and Poisson noise attenuation via volumetric multiscale nonlocal collaborative filtering of spatially correlated noise, 2022, Journal of Synchrotron Radiation

Frequent co-authors who have collaborated with Alessandro Foi include:

  • Goëry Genty
  • Lauri Salmela
  • John M. Dudley
  • Ymir Mäkinen
  • Nikolaos Tsipinakis

Best Publications

  • Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering

    Kostadin Dabov;Alessandro Foi;Vladimir Katkovnik;Karen Egiazarian

  • Nonlocal Transform-Domain Filter for Volumetric Data Denoising and Reconstruction

    M. Maggioni;V. Katkovnik;K. Egiazarian;A. Foi

  • Practical Poissonian-Gaussian Noise Modeling and Fitting for Single-Image Raw-Data

    A. Foi;M. Trimeche;V. Katkovnik;K. Egiazarian

  • Image denoising with block-matching and 3D filtering

    Kostadin Dabov;Alessandro Foi;Vladimir Katkovnik;Karen Egiazarian

  • Pointwise Shape-Adaptive DCT for High-Quality Denoising and Deblocking of Grayscale and Color Images

    A. Foi;V. Katkovnik;K. Egiazarian

  • Video denoising by sparse 3D transform-domain collaborative filtering

    Kostadin Dabov;Alessandro Foi;Karen Egiazarian

  • BM3D Image Denoising with Shape-Adaptive Principal Component Analysis

    Kostadin Dabov;Alessandro Foi;Vladimir Katkovnik;Karen Egiazarian

  • Color Image Denoising via Sparse 3D Collaborative Filtering with Grouping Constraint in Luminance-Chrominance Space

    K. Dabov;A. Foi;V. Katkovnik;K. Egiazarian

  • From Local Kernel to Nonlocal Multiple-Model Image Denoising

    Vladimir Katkovnik;Alessandro Foi;Karen Egiazarian;Jaakko Astola

  • Image restoration by sparse 3D transform-domain collaborative filtering

    Kostadin Dabov;Alessandro Foi;Vladimir Katkovnik;Karen O. Egiazarian

  • Video Denoising, Deblocking, and Enhancement Through Separable 4-D Nonlocal Spatiotemporal Transforms

    Matteo Maggioni;Giacomo Boracchi;Alessandro Foi;Karen Egiazarian

  • Optimal Inversion of the Anscombe Transformation in Low-Count Poisson Image Denoising

    M Makitalo;A Foi

  • Optimal Inversion of the Generalized Anscombe Transformation for Poisson-Gaussian Noise

    M. Makitalo;A. Foi

  • Predicting ultrafast nonlinear dynamics in fibre optics with a recurrent neural network

    Lauri Salmela;Nikolaos Tsipinakis;Alessandro Foi;Cyril Billet

  • Evaluation and Comparison of Current Fetal Ultrasound Image Segmentation Methods for Biometric Measurements: A Grand Challenge

    Sylvia Rueda;Sana Fathima;Caroline L. Knight;Mohammad Yaqub

  • Compressed Sensing Image Reconstruction Via Recursive Spatially Adaptive Filtering

    K. Egiazarian;A. Foi;V. Katkovnik

  • Noise estimation and removal in MR imaging: The variance-stabilization approach

    Alessandro Foi

  • Modeling the Performance of Image Restoration From Motion Blur

    G. Boracchi;A. Foi

  • Collaborative Filtering of Correlated Noise: Exact Transform-Domain Variance for Improved Shrinkage and Patch Matching

    Ymir Makinen;Lucio Azzari;Alessandro Foi

  • Clipped noisy images: Heteroskedastic modeling and practical denoising

    Alessandro Foi

  • Variance Stabilization for Noisy+Estimate Combination in Iterative Poisson Denoising

    Lucio Azzari;Alessandro Foi

Frequent Co-Authors

Karen O. Egiazarian
Karen O. Egiazarian Tampere University
Vladimir Katkovnik
Vladimir Katkovnik Tampere University
Jaakko Astola
Jaakko Astola Tampere University
Brendt Wohlberg
Brendt Wohlberg Los Alamos National Laboratory
Vladimir V. Lukin
Vladimir V. Lukin National Aerospace University – Kharkiv Aviation Institute
Jussi Tohka
Jussi Tohka University of Eastern Finland
Thrasyvoulos N. Pappas
Thrasyvoulos N. Pappas Northwestern University
J. Alison Noble
J. Alison Noble University of Oxford
Changming Sun
Changming Sun Commonwealth Scientific and Industrial Research Organisation
Mikhail S. Gelfand
Mikhail S. Gelfand Skolkovo Institute of Science and Technology

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