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Researcher · Hochschule Mittweida · Germany

Marika Kaden

Marika Kaden publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology, on topics such as Neural Networks and Applications, Face and Expression Recognition and Machine Learning in Bioinformatics.

ORCID 0000-0002-2849-3463 OpenAlex
World rank
#5,327,517
of 7,710,434 ranked researchers
Rank in Germany
#275,522
of 364,343
Works
77
Citations
560
Citations per work
7.3
h-index
14
i10-index 17Top 25% in Artificial Intelligence
Marika Kaden

What does Marika Kaden research?

Marika Kaden's work is mostly in Computer Science (60%), Biochemistry, Genetics and Molecular Biology (15%), Engineering (3%).

Physical Sciences: 48 works · 62.8% of their workComputer Science: 46 works · 59.5% of their workArtificial Intelligence: 29 works · 37.1% of their workComputer Vision and Pattern Recognition: 12 works · 16.2% of their workSignal Processing: 3 works · 3.3% of their workComputational Theory and Mathematics: 2 works · 2.9% of their workEngineering: 3 works · 3.3% of their workControl and Systems Engineering: 3 works · 3.3% of their workEverything else: 17 works · 22.0% of their workLife Sciences: 12 works · 15.2% of their workBiochemistry, Genetics and Molecular Biology: 12 works · 15.2% of their workMolecular Biology: 12 works · 15.2% of their workTHEIR WORKMarika Kaden77works
Life Sciences15%Physical Sciences63%

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 Science4659.5%
    2. Engineering33.3%
  2. Everything else1722.0%
    1. Biochemistry, Genetics and Molecular Biology1215.2%
  1. 1Artificial Intelligence37% of their works
  2. 2Computer Vision and Pattern Recognition16% of their works
  3. 3Molecular Biology15% of their works
  4. 4Signal Processing3% of their works
  5. 5Control and Systems Engineering3% of their works
  6. 6Computational Theory and Mathematics3% of their works

Research topics

Which keywords describe Marika Kaden's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Backpropagation Learning, Self-Organizing Maps, Machine Learning, Support Vector Machines, Dimensionality Reduction and Face Recognition.

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 20 words, with their numbers
  1. Deep Learning412 topics
  2. Neural Networks412 topics
  3. Backpropagation Learning371 topic
  4. Self-Organizing Maps371 topic
  5. Machine Learning274 topics
  6. Support Vector Machines252 topics
  7. Dimensionality Reduction141 topic
  8. Face Recognition141 topic
  9. Protein111 topic
  10. Subcellular Localization111 topic
  11. DNA Sequences71 topic
  12. Genomic Signal Processing71 topic
  13. Hyperparameter Optimization71 topic
  14. Noisy Labels71 topic
  15. Fault Detection51 topic
  16. Process Monitoring51 topic
  17. Adversarial Examples41 topic
  18. Gene Set Enrichment Analysis41 topic
  19. Protein-Protein Interaction Networks41 topic
  20. Robustness41 topic

Where does Marika Kaden work?

Marika Kaden's main affiliation in the publication record is Hochschule Mittweida, Germany.

How many publications and citations does Marika Kaden have?

OpenAlex counts 77 works and 560 citations for Marika Kaden, an h-index of 14, ranking #5,327,517 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.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

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