World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
9146
World Ranking
9575
National Ranking
68

Marcus Liwicki 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 Marcus Liwicki 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: 282 publications — 70th percentile

70% of scientists in this discipline score the same or lower.

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

Marcus Liwicki 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 Marcus Liwicki 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

Marcus Liwicki is a researcher affiliated with Luleå University of Technology in Sweden. Their work primarily focuses on computer science, with a significant emphasis on computer vision and pattern recognition, artificial intelligence, and related interdisciplinary fields.

Their contributions span several key topics within these domains, including:

  • Handwritten Text Recognition Techniques
  • Advanced Neural Network Applications
  • Natural Language Processing Techniques
  • Domain Adaptation and Few-Shot Learning
  • Topic Modeling
  • Advanced Image and Video Retrieval Techniques
  • Image Processing and 3D Reconstruction

Marcus Liwicki's publication record includes numerous papers, with several recent works highlighting ongoing research themes. Representative recent publications include:

  • "Survey and Performance Analysis of Deep Learning Based Object Detection in Challenging Environments" (2021) published in Sensors
  • "SemAttNet: Toward Attention-Based Semantic Aware Guided Depth Completion" (2022) published in IEEE Access
  • "A survey of historical document image datasets" (2022) published in International Journal on Document Analysis and Recognition (IJDAR)
  • "Word2Vec: Optimal hyperparameters and their impact on natural language processing downstream tasks" (2022) published in Open Computer Science
  • "Improving Image Autoencoder Embeddings with Perceptual Loss" (2020) published in Publications (Konstfack University of Arts, Crafts, and Design)

Their collaborative network includes frequent co-authors such as Muhammad Zeshan Afzal, Didier Stricker, Rajkumar Saini, Foteini Liwicki, and Tosin Adewumi, reflecting an interdisciplinary and international research environment.

Marcus Liwicki's research outputs have appeared across various publication venues, including:

  • arXiv (Cornell University)
  • Preprints.org
  • Sensors
  • Applied Sciences
  • IEEE Access

Their research fields cover predominantly computer science, with substantial work in computer vision and pattern recognition, artificial intelligence, mechanical engineering, cognitive neuroscience, and media technology.

Best Publications

  • A Novel Connectionist System for Unconstrained Handwriting Recognition

    A. Graves;M. Liwicki;S. Fernandez;R. Bertolami

  • Scene labeling with LSTM recurrent neural networks

    Wonmin Byeon;Thomas M. Breuel;Federico Raue;Marcus Liwicki

  • IAM-OnDB - an on-line English sentence database acquired from handwritten text on a whiteboard

    M. Liwicki;H. Bunke

  • Signature Verification Competition for Online and Offline Skilled Forgeries (SigComp2011)

    Marcus Liwicki;Muhammad Imran Malik;C. Elisa van den Heuvel;Xiaohong Chen

  • Improved Automatic Analysis of Architectural Floor Plans

    Sheraz Ahmed;Marcus Liwicki;Markus Weber;Andreas Dengel

  • Statistical segmentation and structural recognition for floor plan interpretation

    Unknown

  • Deepdocclassifier: Document classification with deep Convolutional Neural Network

    Muhammad Zeshan Afzal;Samuele Capobianco;Muhammad Imran Malik;Simone Marinai

  • Cutting the Error by Half: Investigation of Very Deep CNN and Advanced Training Strategies for Document Image Classification

    Unknown

  • Automatic Room Detection and Room Labeling from Architectural Floor Plans

    Sheraz Ahmed;Marcus Liwicki;Markus Weber;Andreas Dengel

  • A writer identification system for on-line whiteboard data

    Andreas Schlapbach;Marcus Liwicki;Horst Bunke

  • Automatic Transcription of Handwritten Medieval Documents

    Andreas Fischer;Markus Wuthrich;Marcus Liwicki;Volkmar Frinken

  • DIVA-HisDB: A Precisely Annotated Large Dataset of Challenging Medieval Manuscripts

    Foteini Simistira;Mathias Seuret;Nicole Eichenberger;Angelika Garz

  • ICDAR 2013 Competitions on Signature Verification and Writer Identification for On- and Offline Skilled Forgeries (SigWiComp 2013)

    Muhammad Imran Malik;Sheraz Ahmed;Angelo Marcelli;Umapada Pal

  • Graph-based retrieval of building information models for supporting the early design stages

    Christoph Langenhan;Markus Weber;Marcus Liwicki;Frank Petzold

  • Automatic analysis and sketch-based retrieval of architectural floor plans

    Sheraz Ahmed;Markus Weber;Marcus Liwicki;Christoph Langenhan

  • Automatic gender detection using on-line and off-line information

    Marcus Liwicki;Andreas Schlapbach;Horst Bunke

  • Transforming sensor data to the image domain for deep learning — An application to footstep detection

    Monit Shah Singh;Vinaychandran Pondenkandath;Bo Zhou;Paul Lukowicz

  • IAMonDo-database: an online handwritten document database with non-uniform contents

    Emanuel Indermühle;Marcus Liwicki;Horst Bunke

  • SemAttNet: Toward Attention-Based Semantic Aware Guided Depth Completion

    Unknown

  • Survey and Performance Analysis of Deep Learning Based Object Detection in Challenging Environments.

    Muhammad Ahmed;Khurram Azeem Hashmi;Alain Pagani;Marcus Liwicki

  • On-Line Handwritten Text Line Detection Using Dynamic Programming

    M. Liwicki;E. Indermuhle;H. Bunke

  • Writer identification for smart meeting room systems

    Marcus Liwicki;Andreas Schlapbach;Horst Bunke;Samy Bengio

  • Document Image Binarization using LSTM: A Sequence Learning Approach

    Muhammad Zeshan Afzal;Joan Pastor-Pellicer;Faisal Shafait;Thomas M. Breuel

Frequent Co-Authors

Basilis Gatos
Basilis Gatos National Centre of Scientific Research Demokritos

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