Adil Karjauv
Adil Karjauv publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology, on topics such as Adversarial Robustness in Machine Learning, Anomaly Detection Techniques and Applications and Generative Adversarial Networks and Image Synthesis.
- World rank
- #1,765,149 of 7,710,434 ranked researchers
- Rank in South Korea
- #21,231 of 162,609
- Works
- 26
- Citations
- 374
- Citations per work
- 14.4
What does Adil Karjauv research?
Adil Karjauv's work is mostly in Computer Science (80%), Biochemistry, Genetics and Molecular Biology (5%), Engineering (4%).
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 Sciences2283.8%
- Computer Science2179.7%
- Engineering14.1%
- Everything else28.1%
- Life Sciences15.4%
- Social Sciences12.7%
- Social Sciences12.7%
- 1Computer Vision and Pattern Recognition40% of their works
- 2Artificial Intelligence36% of their works
- 3Molecular Biology5% of their works
- 4Electrical and Electronic Engineering4% of their works
- 5Signal Processing3% of their works
- 6Sociology and Political Science3% of their works
Research topics
- Adversarial Robustness in Machine Learning
- Anomaly Detection Techniques and Applications
- Generative Adversarial Networks and Image Synthesis
- Digital Media Forensic Detection
- Bacillus and Francisella bacterial research
- Domain Adaptation and Few-Shot Learning
- Internet Traffic Analysis and Secure E-voting
- Advanced Steganography and Watermarking Techniques
Which keywords describe Adil Karjauv's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Machine Learning, Adversarial Examples, Robustness, Representation Learning, Unsupervised Learning and Anomaly Detection.
- Steganography
- Internet Traffic
- Classification
- Anthrax
- Digital Forensics
- Generative Adversarial Networks
- Anomaly Detection
- Representation Learning
- Adversarial Examples
- Neural Networks
- Deep Learning
- Machine Learning
- Robustness
- Unsupervised Learning
- Unsupervised
- Image Synthesis
- Image Forgery Detection
- Tularemia
- Domain Adaptation
- Reversible Data Embedding
- Transfer Learning
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 21 words, with their numbers
- Deep Learning406 topics
- Neural Networks283 topics
- Machine Learning152 topics
- Adversarial Examples121 topic
- Robustness121 topic
- Representation Learning102 topics
- Unsupervised Learning102 topics
- Anomaly Detection91 topic
- Unsupervised91 topic
- Generative Adversarial Networks71 topic
- Image Synthesis71 topic
- Digital Forensics61 topic
- Image Forgery Detection61 topic
- Anthrax41 topic
- Tularemia41 topic
- Classification31 topic
- Domain Adaptation31 topic
- Internet Traffic31 topic
- Reversible Data Embedding31 topic
- Steganography31 topic
- Transfer Learning31 topic
Where does Adil Karjauv work?
Adil Karjauv's main affiliation in the publication record is Korea Advanced Institute of Science and Technology, South Korea.
How many publications and citations does Adil Karjauv have?
OpenAlex counts 26 works and 374 citations for Adil Karjauv, an h-index of 8, ranking #1,765,149 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.
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