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Researcher · National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” · Ukraine

Vlad Taran

Vlad Taran publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, on topics such as COVID-19 diagnosis using AI, Brain Tumor Detection and Classification and AI in cancer detection.

ORCID 0000-0003-2493-7239 OpenAlex
World rank
#5,193,956
of 7,710,434 ranked researchers
Rank in Ukraine
#10,105
of 46,931
Works
19
Citations
110
Citations per work
5.8
h-index
5
i10-index 5Top 82% in Artificial Intelligence
Vlad Taran

What does Vlad Taran research?

Vlad Taran's work is mostly in Computer Science (41%), Medicine (12%), Neuroscience (8%).

Physical Sciences: 9 works · 47.0% of their workComputer Science: 8 works · 41.1% of their workArtificial Intelligence: 4 works · 23.5% of their workComputer Vision and Pattern Recognition: 3 works · 13.7% of their workInformation Systems: 1 works · 3.9% of their workEngineering: 1 works · 5.9% of their workIndustrial and Manufacturing Engineering: 1 works · 5.9% of their workEverything else: 6 works · 33.4% of their workHealth Sciences: 2 works · 11.8% of their workMedicine: 2 works · 11.8% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 11.8% of their workLife Sciences: 1 works · 7.8% of their workNeuroscience: 1 works · 7.8% of their workNeurology: 1 works · 7.8% of their workTHEIR WORKVlad Taran19works
Life Sciences8%Physical Sciences47%Health Sciences12%

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 Science841.1%
    2. Engineering15.9%
  2. Everything else633.4%
    1. Medicine211.8%
    1. Neuroscience17.8%
  1. 1Artificial Intelligence24% of their works
  2. 2Computer Vision and Pattern Recognition14% of their works
  3. 3Radiology, Nuclear Medicine and Imaging12% of their works
  4. 4Neurology8% of their works
  5. 5Industrial and Manufacturing Engineering6% of their works
  6. 6Information Systems4% of their works

Research topics

Which keywords describe Vlad Taran's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Machine Learning, Medical Imaging, Transfer Learning, Chest X-Ray, COVID-19 and Brain Tumor.

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 21 words, with their numbers
  1. Deep Learning164 topics
  2. Convolutional Neural Networks123 topics
  3. Machine Learning103 topics
  4. Medical Imaging92 topics
  5. Transfer Learning92 topics
  6. COVID-1951 topic
  7. Chest X-Ray51 topic
  8. Brain Tumor41 topic
  9. Histopathology Images41 topic
  10. MRI41 topic
  11. Medical Image Analysis41 topic
  12. Image Recognition31 topic
  13. Object Detection31 topic
  14. Differential Privacy21 topic
  15. Federated Learning21 topic
  16. Industrial Engineering21 topic
  17. Parallel Computing21 topic
  18. Performance Optimization21 topic
  19. Technology Development21 topic
  20. Brain-Computer Interfaces11 topic
  21. EEG Analysis11 topic

Where does Vlad Taran work?

Vlad Taran's main affiliation in the publication record is National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Ukraine.

How many publications and citations does Vlad Taran have?

OpenAlex counts 19 works and 110 citations for Vlad Taran, an h-index of 5, ranking #5,193,956 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.

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