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Researcher · University of Ljubljana · Slovenia

Vitjan Zavrtanik

Vitjan Zavrtanik publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Industrial and Manufacturing Engineering, on topics such as Anomaly Detection Techniques and Applications, Industrial Vision Systems and Defect Detection and Adversarial Robustness in Machine Learning.

OpenAlex
World rank
#601,675
of 7,710,434 ranked researchers
Rank in Slovenia
#304
of 9,404
Works
34
Citations
2.2k
Citations per work
64.2
h-index
11
i10-index 11Top 37% in Artificial Intelligence
Vitjan Zavrtanik

What does Vitjan Zavrtanik research?

Vitjan Zavrtanik's work is mostly in Computer Science (59%), Engineering (10%), Biochemistry, Genetics and Molecular Biology (4%).

Physical Sciences: 25 works · 72.2% of their workComputer Science: 20 works · 59.0% of their workArtificial Intelligence: 11 works · 32.5% of their workComputer Vision and Pattern Recognition: 7 works · 21.7% of their workComputer Networks and Communications: 2 works · 4.8% of their workEngineering: 3 works · 9.6% of their workIndustrial and Manufacturing Engineering: 3 works · 9.6% of their workEarth and Planetary Sciences: 1 works · 3.6% of their workOceanography: 1 works · 3.6% of their workEverything else: 8 works · 24.2% of their workLife Sciences: 1 works · 3.6% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 3.6% of their workMolecular Biology: 1 works · 3.6% of their workTHEIR WORKVitjan Zavrtanik34works
Life Sciences4%Physical Sciences72%

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 Science2059.0%
    2. Engineering39.6%
    3. Earth and Planetary Sciences13.6%
  2. Everything else824.2%
    1. Biochemistry, Genetics and Molecular Biology13.6%
  1. 1Artificial Intelligence32% of their works
  2. 2Computer Vision and Pattern Recognition22% of their works
  3. 3Industrial and Manufacturing Engineering10% of their works
  4. 4Computer Networks and Communications5% of their works
  5. 5Molecular Biology4% of their works
  6. 6Oceanography4% of their works

Research topics

Which keywords describe Vitjan Zavrtanik's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Anomaly Detection, Outlier Detection, Unsupervised, Convolutional Neural Networks, Machine Learning and Fabric Defect Detection.

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 Learning497 topics
  2. Neural Networks242 topics
  3. Anomaly Detection212 topics
  4. Outlier Detection181 topic
  5. Unsupervised181 topic
  6. Convolutional Neural Networks112 topics
  7. Machine Learning92 topics
  8. Fabric Defect Detection71 topic
  9. Machine Vision71 topic
  10. Adversarial Examples61 topic
  11. Image Recognition61 topic
  12. Object Detection61 topic
  13. Robustness61 topic
  14. Object Tracking51 topic
  15. Visual Tracking51 topic
  16. Digital Forensics41 topic
  17. Image Forgery Detection41 topic
  18. Domain Adaptation31 topic
  19. Intrusion Detection31 topic
  20. Network Security31 topic
  21. Transfer Learning31 topic

Where does Vitjan Zavrtanik work?

Vitjan Zavrtanik's main affiliation in the publication record is University of Ljubljana, Slovenia.

How many publications and citations does Vitjan Zavrtanik have?

OpenAlex counts 34 works and 2,182 citations for Vitjan Zavrtanik, an h-index of 11, ranking #601,675 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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