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Balázs Kégl

Balázs Kégl publishes mostly in Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition, on topics such as Explainable Artificial Intelligence (XAI), Distributed and Parallel Computing Systems and Natural Language Processing Techniques.

World rank
#674,104
of 1,633,909 ranked researchers
Rank in France
#41,533
of 96,116
Works
26
Citations
38
Citations per work
1.5

What does Balázs Kégl research?

Artificial Intelligence: 40.0%Computer Networks and Communications: 10.0%Computer Vision and Pattern Recognition: 10.0%Management Science and Operations Research: 5.0%other fields: 35.0%40%top field
Artificial Intelligence40.0%Computer Networks and Communications10.0%Computer Vision and Pattern Recognition10.0%Management Science and Operations Research5.0%other fields35.0%

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

  1. 1Artificial Intelligence40% of their works
  2. 2Computer Networks and Communications10% of their works
  3. 3Computer Vision and Pattern Recognition10% of their works
  4. 4Management Science and Operations Research5% of their works
  5. 5Hardware and Architecture5% of their works
  6. 6Automotive Engineering5% of their works

Research topics

Which keywords describe Balázs Kégl's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Distributed Systems, Grid Computing, Interpretable Models, Machine Learning Interpretability, Anomaly Detection and Gaussian Processes.

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 18 words, with their numbers
  1. Deep Learning33 topics
  2. Neural Networks33 topics
  3. Distributed Systems21 topic
  4. Grid Computing21 topic
  5. Interpretable Models21 topic
  6. Machine Learning Interpretability21 topic
  7. Anomaly Detection11 topic
  8. Gaussian Processes11 topic
  9. Machine Learning11 topic
  10. Machine Translation11 topic
  11. Monte Carlo Tree Search11 topic
  12. Neural Machine Translation11 topic
  13. Procedural Content Generation11 topic
  14. Reinforcement Learning11 topic
  15. Robotics11 topic
  16. Statistical Machine Translation11 topic
  17. Unsupervised11 topic
  18. Word Representation11 topic

Where does Balázs Kégl work?

Balázs Kégl's main affiliation in the publication record is Université Paris-Saclay, France.

How many publications and citations does Balázs Kégl have?

Science Explorer counts 26 works and 38 citations for Balázs Kégl, ranking #674,104 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.