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Researcher · Hochschule Mittweida · Germany

Sascha Saralajew

Sascha Saralajew publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology, on topics such as Neural Networks and Applications, Explainable Artificial Intelligence (XAI) and Adversarial Robustness in Machine Learning.

ORCID 0000-0003-2248-8062 OpenAlex
World rank
#5,072,516
of 7,710,434 ranked researchers
Rank in Germany
#262,061
of 364,343
Works
56
Citations
409
Citations per work
7.3
h-index
12
i10-index 13Top 32% in Artificial Intelligence
Sascha Saralajew

What does Sascha Saralajew research?

Sascha Saralajew's work is mostly in Computer Science (57%), Biochemistry, Genetics and Molecular Biology (4%), Engineering (4%).

Physical Sciences: 34 works · 61.2% of their workComputer Science: 32 works · 57.1% of their workArtificial Intelligence: 21 works · 38.1% of their workComputer Vision and Pattern Recognition: 11 works · 19.0% of their workEngineering: 2 works · 4.1% of their workAutomotive Engineering: 2 works · 4.1% of their workEverything else: 17 works · 30.0% of their workLife Sciences: 2 works · 4.1% of their workBiochemistry, Genetics and Molecular Biology: 2 works · 4.1% of their workMolecular Biology: 2 works · 4.1% of their workSocial Sciences: 2 works · 2.7% of their workSocial Sciences: 2 works · 2.7% of their workSafety Research: 2 works · 2.7% of their workHealth Sciences: 1 works · 2.0% of their workMedicine: 1 works · 2.0% of their workHealth Informatics: 1 works · 2.0% of their workTHEIR WORKSascha Saralajew56works
Life Sciences4%Physical Sciences61%Health Sciences2%Social Sciences3%

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 Science3257.1%
    2. Engineering24.1%
  2. Everything else1730.0%
    1. Biochemistry, Genetics and Molecular Biology24.1%
    1. Social Sciences22.7%
    1. Medicine12.0%
  1. 1Artificial Intelligence38% of their works
  2. 2Computer Vision and Pattern Recognition19% of their works
  3. 3Molecular Biology4% of their works
  4. 4Automotive Engineering4% of their works
  5. 5Safety Research3% of their works
  6. 6Health Informatics2% of their works

Research topics

Which keywords describe Sascha Saralajew's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Convolutional Neural Networks, Deep Neural Networks, Machine Learning, Backpropagation Learning, Self-Organizing Maps and Interpretable Models.

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 21 words, with their numbers
  1. Deep Learning426 topics
  2. Neural Networks182 topics
  3. Convolutional Neural Networks142 topics
  4. Deep Neural Networks142 topics
  5. Machine Learning122 topics
  6. Backpropagation Learning111 topic
  7. Self-Organizing Maps111 topic
  8. Interpretable Models91 topic
  9. Machine Learning Interpretability91 topic
  10. Adversarial Examples71 topic
  11. Image Recognition71 topic
  12. Object Detection71 topic
  13. Object Tracking71 topic
  14. Robustness71 topic
  15. Visual Tracking71 topic
  16. Autonomous Vehicles51 topic
  17. Electronic Health Records51 topic
  18. Healthcare51 topic
  19. Hyperparameter Optimization51 topic
  20. Noisy Labels51 topic
  21. Trajectory Prediction51 topic

Where does Sascha Saralajew work?

Sascha Saralajew's main affiliation in the publication record is Hochschule Mittweida, Germany.

How many publications and citations does Sascha Saralajew have?

OpenAlex counts 56 works and 409 citations for Sascha Saralajew, an h-index of 12, ranking #5,072,516 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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