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Researcher · Czech Technical University in Prague · Czechia

Filip Radenović

Filip Radenović publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering, on topics such as Advanced Image and Video Retrieval Techniques, Multimodal Machine Learning Applications and Image Retrieval and Classification Techniques.

ORCID 0000-0002-7122-2765 OpenAlex
World rank
#504,003
of 7,710,434 ranked researchers
Rank in Czechia
#761
of 39,303
Works
39
Citations
3.3k
Citations per work
84.3
h-index
16
i10-index 18Top 21% in Computer Vision and Pattern Recognition
Filip Radenović

What does Filip Radenović research?

Filip Radenović's work is mostly in Computer Science (82%), Engineering (13%), Biochemistry, Genetics and Molecular Biology (2%).

Physical Sciences: 37 works · 94.8% of their workComputer Science: 32 works · 81.7% of their workComputer Vision and Pattern Recognition: 24 works · 62.6% of their workArtificial Intelligence: 7 works · 19.1% of their workEngineering: 5 works · 13.1% of their workAerospace Engineering: 4 works · 11.3% of their workCivil and Structural Engineering: 0 works · 0.9% of their workComputational Mechanics: 0 works · 0.9% of their workEverything else: 1 works · 3.5% of their workLife Sciences: 1 works · 1.7% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 1.7% of their workBiophysics: 1 works · 1.7% of their workTHEIR WORKFilip Radenović39works
Life Sciences2%Physical Sciences95%

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 Science3281.7%
    2. Engineering513.1%
  2. Everything else13.5%
    1. Biochemistry, Genetics and Molecular Biology11.7%
  1. 1Computer Vision and Pattern Recognition63% of their works
  2. 2Artificial Intelligence19% of their works
  3. 3Aerospace Engineering11% of their works
  4. 4Biophysics2% of their works
  5. 5Computational Mechanics1% of their works
  6. 6Civil and Structural Engineering1% of their works

Research topics

Which keywords describe Filip Radenović's research?

The keywords of their largest research topics: Deep Learning, Feature Matching, Local Descriptors, Neural Networks, Machine Learning, Image Captioning, Visual Question Answering and Content-Based Image Retrieval.

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 19 words, with their numbers
  1. Deep Learning504 topics
  2. Feature Matching261 topic
  3. Local Descriptors261 topic
  4. Neural Networks182 topics
  5. Machine Learning172 topics
  6. Image Captioning141 topic
  7. Visual Question Answering141 topic
  8. Content-Based Image Retrieval131 topic
  9. Shape Matching131 topic
  10. 3D Mapping91 topic
  11. SLAM91 topic
  12. Domain Adaptation81 topic
  13. Transfer Learning81 topic
  14. Convolutional Neural Networks61 topic
  15. Image Recognition61 topic
  16. Interpretable Models61 topic
  17. Machine Learning Interpretability61 topic
  18. Adversarial Examples41 topic
  19. Robustness41 topic

Where does Filip Radenović work?

Filip Radenović's main affiliation in the publication record is Czech Technical University in Prague, Czechia.

How many publications and citations does Filip Radenović have?

OpenAlex counts 39 works and 3,287 citations for Filip Radenović, an h-index of 16, ranking #504,003 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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