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Researcher · Eötvös Loránd University · Hungary

Gábor J. Székely

Gábor J. Székely publishes mostly in Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Statistics and Probability, on topics such as Medical Image Segmentation Techniques, Computability, Logic, AI Algorithms and Image and Object Detection Techniques.

ORCID 0000-0003-4834-9482 OpenAlex
World rank
#320,479
of 1,633,909 ranked researchers
Rank in Hungary
#487
of 5,009
Works
35
Citations
100
Citations per work
2.9

What does Gábor J. Székely research?

Computer Vision and Pattern Recognition: 32.3%Computational Theory and Mathematics: 9.7%Statistics and Probability: 9.7%Artificial Intelligence: 6.5%other fields: 41.8%32%top field
Computer Vision and Pattern Recognition32.3%Computational Theory and Mathematics9.7%Statistics and Probability9.7%Artificial Intelligence6.5%other fields41.8%

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

  1. 1Computer Vision and Pattern Recognition32% of their works
  2. 2Computational Theory and Mathematics10% of their works
  3. 3Statistics and Probability10% of their works
  4. 4Artificial Intelligence6% of their works
  5. 5Electrical and Electronic Engineering6% of their works
  6. 6Ocean Engineering6% of their works

Research topics

Which keywords describe Gábor J. Székely's research?

The keywords of their largest research topics: Causal Discovery, Image Segmentation, Medical Image Analysis, Algorithmic Information Theory, Computability, Hough Transform, Line Detection and Multicollinearity.

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 17 words, with their numbers
  1. Causal Discovery32 topics
  2. Image Segmentation31 topic
  3. Medical Image Analysis31 topic
  4. Algorithmic Information Theory21 topic
  5. Computability21 topic
  6. Hough Transform21 topic
  7. Line Detection21 topic
  8. Multicollinearity21 topic
  9. Regression Analysis21 topic
  10. Bayesian Networks11 topic
  11. Causal Inference11 topic
  12. DNA Sequences11 topic
  13. Entanglement11 topic
  14. Genomic Signal Processing11 topic
  15. Granular Computing11 topic
  16. Quantum11 topic
  17. Rough Sets11 topic

Where does Gábor J. Székely work?

Gábor J. Székely's main affiliation in the publication record is Eötvös Loránd University, Hungary.

How many publications and citations does Gábor J. Székely have?

Science Explorer counts 35 works and 100 citations for Gábor J. Székely, ranking #320,479 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.