World's Best Scientists 2026 revealed!
Johannes R. Sveinsson

Johannes R. Sveinsson

D-Index & Metrics

Computer Science

D-Index
43
Citations
11899
World Ranking
7804
National Ranking
3

Johannes R. Sveinsson 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 Johannes R. Sveinsson 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 180 publications — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Johannes R. Sveinsson 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 Johannes R. Sveinsson sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Johannes R. Sveinsson is affiliated with the University of Iceland in Iceland and has an extensive publication record in the fields of Engineering and Computer Science. Their research primarily focuses on media technology with a significant emphasis on remote sensing and image processing.

The scientist's work spans various subfields including:

  • Media Technology
  • Computer Vision and Pattern Recognition
  • Atmospheric Science
  • Biomedical Engineering
  • Ecology

Main research topics covered by Johannes R. Sveinsson include:

  • Advanced Image Fusion Techniques
  • Remote-Sensing Image Classification
  • Image and Signal Denoising Methods
  • Remote Sensing and Land Use
  • Advanced Image Processing Techniques
  • Image Enhancement Techniques
  • Advanced Chemical Sensor Technologies

Among the frequent publication venues for Johannes R. Sveinsson's work are:

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

Notable recent papers authored or co-authored by Johannes R. Sveinsson include:

  • Convolutional Autoencoder for Spectral-Spatial Hyperspectral Unmixing, 2020, IEEE Transactions on Geoscience and Remote Sensing
  • Blind Hyperspectral Unmixing Using Autoencoders: A Critical Comparison, 2022, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Hyperspectral Image Denoising Using SURE-Based Unsupervised Convolutional Neural Networks, 2020, IEEE Transactions on Geoscience and Remote Sensing
  • Hyperspectral Image Denoising Using Spectral-Spatial Transform-Based Sparse and Low-Rank Representations, 2022, IEEE Transactions on Geoscience and Remote Sensing
  • Deep SURE for Unsupervised Remote Sensing Image Fusion, 2022, IEEE Transactions on Geoscience and Remote Sensing

Johannes R. Sveinsson collaborates frequently with several co-authors, including:

  • Magnús Ö. Úlfarsson
  • Han V. Nguyen
  • Burkni Palsson
  • Mauro Dalla Mura
  • Jocelyn Chanussot

Best Publications

  • Random Forests for land cover classification

    Pall Oskar Gislason;Jon Atli Benediktsson;Johannes R. Sveinsson

  • Classification of hyperspectral data from urban areas based on extended morphological profiles

    J.A. Benediktsson;J.A. Palmason;J.R. Sveinsson

  • Spectral and Spatial Classification of Hyperspectral Data Using SVMs and Morphological Profiles

    M. Fauvel;J.A. Benediktsson;J. Chanussot;J.R. Sveinsson

  • Multiple classifiers applied to multisource remote sensing data

    G.J. Briem;J.A. Benediktsson;J.R. Sveinsson

  • Multispectral and Hyperspectral Image Fusion Using a 3-D-Convolutional Neural Network

    Frosti Palsson;Johannes R. Sveinsson;Magnus O. Ulfarsson

  • A New Pansharpening Algorithm Based on Total Variation

    Frosti Palsson;Johannes R. Sveinsson;Magnus O. Ulfarsson

  • Parallel consensual neural networks

    J.A. Benediktsson;J.R. Sveinsson;O.K. Ersoy;P.H. Swain

  • Hyperspectral Unmixing Using a Neural Network Autoencoder

    Burkni Palsson;Jakob Sigurdsson;Johannes R. Sveinsson;Magnus O. Ulfarsson

  • Convolutional Autoencoder for Spectral–Spatial Hyperspectral Unmixing

    Burkni Palsson;Magnus O. Ulfarsson;Johannes R. Sveinsson

  • Feature extraction for multisource data classification with artificial neural networks

    J. A. Benediktsson;J. R. Sveinsson

  • Model-Based Fusion of Multi- and Hyperspectral Images Using PCA and Wavelets

    Frosti Palsson;Johannes R. Sveinsson;Magnus Orn Ulfarsson;Jon Atli Benediktsson

  • Hybrid consensus theoretic classification

    J.A. Benediktsson;J.R. Sveinsson;P.H. Swain

  • Classification and feature extraction of AVIRIS data

    J.A. Benediktsson;J.R. Sveinsson;K. Amason

  • Random Forest classification of multisource remote sensing and geographic data

    P.O. Gislason;J.A. Benediktsson;J.R. Sveinsson

  • Mapping of hyperspectral AVIRIS data using machine-learning algorithms

    Björn Waske;Jon Atli Benediktsson;Kolbeinn Árnason;Johannes R Sveinsson

  • Automatic Spectral–Spatial Classification Framework Based on Attribute Profiles and Supervised Feature Extraction

    Pedram Ghamisi;Jón Atli Benediktsson;Johannes R. Sveinsson

  • A classifier ensemble based on fusion of support vector machines for classifying hyperspectral data

    Xavier Ceamanos;Björn Waske;Jón Atli Benediktsson;Jocelyn Chanussot

  • Classification of hyperspectral data from urban areas using morphological preprocessing and independent component analysis

    J.A. Palmason;J.A. Benediktsson;J.R. Sveinsson;J. Chanussot

  • Spectral and spatial classification of hyperspectral data using SVMs and morphological profiles

    M. Fauvel;J. Chanussot;J.A. Benediktsson;J.R. Sveinsson

  • Blind Hyperspectral Unmixing Using Autoencoders: A Critical Comparison

    Unknown

  • Hyperspectral Feature Extraction Using Total Variation Component Analysis

    Behnood Rasti;Magnus Orn Ulfarsson;Johannes R. Sveinsson

Frequent Co-Authors

Jon Atli Benediktsson
Jon Atli Benediktsson University of Iceland
Jocelyn Chanussot
Jocelyn Chanussot Grenoble Alpes University
Rasmus Larsen
Rasmus Larsen Technical University of Denmark
Jose M. Bioucas-Dias
Jose M. Bioucas-Dias Instituto Superior Técnico
Mauro Dalla Mura
Mauro Dalla Mura Grenoble Alpes University
Jan Larsen
Jan Larsen Technical University of Denmark
Lars Kai Hansen
Lars Kai Hansen Technical University of Denmark
Pedram Ghamisi
Pedram Ghamisi Helmholtz-Zentrum Dresden-Rossendorf

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science in the USA opens doors to a variety of online degree options tailored to fit different schedules, goals, and budgets. If you’re looking for an affordable route to the highest academic qualification, consider some cheap online PhD programs. These can help you reach advanced positions in research and academia without breaking the bank.

For those aiming to specialize in education technology or move into leadership roles, there are also online EdD programs that let you fast-track your doctorate in education. If you want a quicker entry into the tech industry, an online associate’s degree can be completed in as little as six months, providing valuable foundational skills.

Additionally, combining computer science knowledge with management know-how is easier than ever with a business degree online. This opens up versatile career pathways in IT management, tech startups, or consulting. No matter your career aspirations, there is an online degree to help you achieve them.

Best Scientists Citing Johannes R. Sveinsson

Trending Scientists

Recently Published Articles