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Researcher · German Research Centre for Artificial Intelligence · Germany

Marcus Liwicki

Marcus Liwicki publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction, on topics such as Handwritten Text Recognition Techniques, Natural Language Processing Techniques and Image Processing and 3D Reconstruction.

ORCID 0000-0003-4029-6574 OpenAlex
World rank
#458,782
of 7,710,434 ranked researchers
Rank in Germany
#22,547
of 364,343
Works
448
Citations
9.7k
Citations per work
21.7
h-index
44
i10-index 175Top 1.7% in Computer Vision and Pattern Recognition
Marcus Liwicki

What does Marcus Liwicki research?

Marcus Liwicki's work is mostly in Computer Science (71%), Engineering (3%), Neuroscience (2%).

Physical Sciences: 331 works · 73.8% of their workComputer Science: 319 works · 71.2% of their workComputer Vision and Pattern Recognition: 196 works · 43.7% of their workArtificial Intelligence: 98 works · 21.8% of their workHuman-Computer Interaction: 13 works · 3.0% of their workInformation Systems: 12 works · 2.7% of their workEngineering: 12 works · 2.6% of their workMedia Technology: 12 works · 2.6% of their workEverything else: 108 works · 24.2% of their workLife Sciences: 9 works · 2.0% of their workNeuroscience: 9 works · 2.0% of their workCognitive Neuroscience: 9 works · 2.0% of their workTHEIR WORKMarcus Liwicki448works
Life Sciences2%Physical Sciences74%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science31971.2%
    2. Engineering122.6%
  2. Everything else10824.2%
    1. Neuroscience92.0%
  1. 1Computer Vision and Pattern Recognition44% of their works
  2. 2Artificial Intelligence22% of their works
  3. 3Human-Computer Interaction3% of their works
  4. 4Information Systems3% of their works
  5. 5Media Technology3% of their works
  6. 6Cognitive Neuroscience2% of their works

Research topics

Which keywords describe Marcus Liwicki's research?

The keywords of their largest research topics: Convolutional Neural Networks, Neural Networks, Handwriting Recognition, Text Detection, Deep Learning, Neural Machine Translation, Statistical Machine Translation and Fragmented Objects.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 19 words, with their numbers
  1. Convolutional Neural Networks2292 topics
  2. Neural Networks2192 topics
  3. Handwriting Recognition1921 topic
  4. Text Detection1921 topic
  5. Deep Learning902 topics
  6. Neural Machine Translation781 topic
  7. Statistical Machine Translation781 topic
  8. Fragmented Objects761 topic
  9. Reconstruction761 topic
  10. Content-Based Image Retrieval611 topic
  11. Shape Matching611 topic
  12. Feature Matching531 topic
  13. Local Descriptors531 topic
  14. Image Recognition371 topic
  15. Object Detection371 topic
  16. Domain Adaptation281 topic
  17. Transfer Learning281 topic
  18. Machine Translation271 topic
  19. Word Representation271 topic

Where does Marcus Liwicki work?

Marcus Liwicki's main affiliation in the publication record is German Research Centre for Artificial Intelligence, Germany.

How many publications and citations does Marcus Liwicki have?

OpenAlex counts 448 works and 9,704 citations for Marcus Liwicki, an h-index of 44, ranking #458,782 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Other researchers named Marcus Liwicki

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