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Researcher · XLAB (Slovenia) · Slovenia

Tomaž Martinčič

Tomaž Martinčič publishes mostly in Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence, on topics such as Software System Performance and Reliability, Digital Imaging for Blood Diseases and AI in cancer detection.

ORCID 0000-0001-6069-8373 OpenAlex
World rank
#3,834,235
of 7,710,434 ranked researchers
Rank in Slovenia
#4,026
of 9,404
Works
22
Citations
114
Citations per work
5.2
h-index
6
i10-index 5Top 77% in Computer Networks and Communications
Tomaž Martinčič

What does Tomaž Martinčič research?

Tomaž Martinčič's work is mostly in Computer Science (59%), Neuroscience (3%), Engineering (3%).

Physical Sciences: 14 works · 62.0% of their workComputer Science: 13 works · 58.6% of their workComputer Networks and Communications: 5 works · 20.7% of their workArtificial Intelligence: 3 works · 15.5% of their workComputer Vision and Pattern Recognition: 3 works · 15.5% of their workInformation Systems: 2 works · 6.9% of their workEngineering: 1 works · 3.4% of their workControl and Systems Engineering: 1 works · 3.4% of their workEverything else: 8 works · 34.6% of their workLife Sciences: 1 works · 3.4% of their workNeuroscience: 1 works · 3.4% of their workNeurology: 1 works · 3.4% of their workTHEIR WORKTomaž Martinčič22works
Life Sciences3%Physical Sciences62%

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 Science1358.6%
    2. Engineering13.4%
  2. Everything else834.6%
    1. Neuroscience13.4%
  1. 1Computer Networks and Communications21% of their works
  2. 2Computer Vision and Pattern Recognition16% of their works
  3. 3Artificial Intelligence16% of their works
  4. 4Information Systems7% of their works
  5. 5Neurology3% of their works
  6. 6Control and Systems Engineering3% of their works

Research topics

Which keywords describe Tomaž Martinčič's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Convolutional Neural Networks, Medical Image Analysis, Anomaly Detection, Distributed Systems, Feature Extraction and Image Processing.

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.

All 24 words, with their numbers
  1. Machine Learning195 topics
  2. Deep Learning145 topics
  3. Convolutional Neural Networks122 topics
  4. Medical Image Analysis122 topics
  5. Anomaly Detection102 topics
  6. Distributed Systems92 topics
  7. Feature Extraction92 topics
  8. Image Processing92 topics
  9. Leukemia Classification71 topic
  10. Log Analysis71 topic
  11. Malaria Parasite Detection71 topic
  12. Performance Prediction71 topic
  13. Computer-Aided Detection51 topic
  14. Histopathology Images51 topic
  15. Intrusion Detection31 topic
  16. Network Security31 topic
  17. Bioimage Analysis21 topic
  18. Brain Tumor21 topic
  19. Grid Computing21 topic
  20. High-Content Screening21 topic
  21. MRI21 topic
  22. Neural Networks21 topic
  23. Resource Management21 topic
  24. Self-Organizing Maps21 topic

Where does Tomaž Martinčič work?

Tomaž Martinčič's main affiliation in the publication record is XLAB (Slovenia), Slovenia.

How many publications and citations does Tomaž Martinčič have?

OpenAlex counts 22 works and 114 citations for Tomaž Martinčič, an h-index of 6, ranking #3,834,235 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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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