Science Explorer Interactive view Map

Pavel Pudil

Pavel Pudil publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology, on topics such as Neural Networks and Applications, Machine Learning and Data Classification and Face and Expression Recognition.

World rank
#143,487
of 1,633,909 ranked researchers
Rank in Czechia
#294
of 9,029
Works
29
Citations
277
Citations per work
9.6

What does Pavel Pudil research?

Artificial Intelligence: 53.8%Computer Vision and Pattern Recognition: 17.9%Molecular Biology: 7.7%Statistics and Probability: 5.1%other fields: 15.5%54%top field
Artificial Intelligence53.8%Computer Vision and Pattern Recognition17.9%Molecular Biology7.7%Statistics and Probability5.1%other fields15.5%

Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.

  1. 1Artificial Intelligence54% of their works
  2. 2Computer Vision and Pattern Recognition18% of their works
  3. 3Molecular Biology8% of their works
  4. 4Statistics and Probability5% of their works
  5. 5Computational Theory and Mathematics3% of their works
  6. 6Education3% of their works

Research topics

Which keywords describe Pavel Pudil's research?

The keywords of their largest research topics: Feature Selection, Local Binary Patterns, Clustering, Machine Learning, Neural Networks, Self-Organizing Maps, Dimensionality Reduction and Face Recognition.

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 20 words, with their numbers
  1. Feature Selection72 topics
  2. Local Binary Patterns72 topics
  3. Clustering62 topics
  4. Machine Learning62 topics
  5. Neural Networks61 topic
  6. Self-Organizing Maps61 topic
  7. Dimensionality Reduction41 topic
  8. Face Recognition41 topic
  9. Hyperparameter Optimization41 topic
  10. Noisy Labels41 topic
  11. Bayesian Inference31 topic
  12. Content-Based Image Retrieval31 topic
  13. Gene Expression31 topic
  14. Microarray31 topic
  15. Mixture Models31 topic
  16. Shape Matching31 topic
  17. Bayesian Networks21 topic
  18. Causal Inference21 topic
  19. Regularization21 topic
  20. Variable Selection21 topic

Where does Pavel Pudil work?

Pavel Pudil's main affiliation in the publication record is Czech Academy of Sciences, Institute of Information Theory and Automation, Czechia.

How many publications and citations does Pavel Pudil have?

Science Explorer counts 29 works and 277 citations for Pavel Pudil, ranking #143,487 of 1,633,909 researchers worldwide on the composite 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 are in the interactive view on the map. Is this your page? Request a correction or removal.