Gábor Kertész
Gábor Kertész publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems, on topics such as Advanced Neural Network Applications, Topic Modeling and Advanced Image and Video Retrieval Techniques.
- World rank
- #4,262,655 of 7,710,434 ranked researchers
- Rank in Hungary
- #9,443 of 25,218
- Works
- 82
- Citations
- 286
- Citations per work
- 3.5
What does Gábor Kertész research?
Gábor Kertész's work is mostly in Computer Science (60%), Engineering (3%), Biochemistry, Genetics and Molecular Biology (3%).
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
- Physical Sciences5162.6%
- Computer Science4959.6%
- Engineering23.0%
- Everything else2934.9%
- Life Sciences22.5%
- 1Computer Vision and Pattern Recognition27% of their works
- 2Artificial Intelligence21% of their works
- 3Information Systems6% of their works
- 4Computer Networks and Communications5% of their works
- 5Building and Construction3% of their works
- 6Molecular Biology2% of their works
Research topics
Which keywords describe Gábor Kertész's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Computer Vision, Convolutional Neural Networks, Image Recognition, Object Detection, Feature Matching and Local Descriptors.
- Traffic Flow
- Statistical Machine Translation
- Performance Prediction
- Log Analysis
- Hough Transform
- Word Representation
- Local Descriptors
- Object Detection
- Convolutional Neural Networks
- Neural Networks
- Deep Learning
- Computer Vision
- Image Recognition
- Feature Matching
- Machine Translation
- Handwriting Recognition
- Line Detection
- Neural Machine Translation
- Short-Term Forecasting
- Text Detection
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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.
All 20 words, with their numbers
- Deep Learning263 topics
- Neural Networks213 topics
- Computer Vision172 topics
- Convolutional Neural Networks172 topics
- Image Recognition111 topic
- Object Detection111 topic
- Feature Matching91 topic
- Local Descriptors91 topic
- Machine Translation91 topic
- Word Representation91 topic
- Handwriting Recognition61 topic
- Hough Transform61 topic
- Line Detection61 topic
- Log Analysis61 topic
- Neural Machine Translation61 topic
- Performance Prediction61 topic
- Short-Term Forecasting61 topic
- Statistical Machine Translation61 topic
- Text Detection61 topic
- Traffic Flow61 topic
Where does Gábor Kertész work?
Gábor Kertész's main affiliation in the publication record is Obuda University, Hungary.
How many publications and citations does Gábor Kertész have?
OpenAlex counts 82 works and 286 citations for Gábor Kertész, an h-index of 9, ranking #4,262,655 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised citation 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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