Arip Asadulaev
Arip Asadulaev publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering, on topics such as Reinforcement Learning in Robotics, Domain Adaptation and Few-Shot Learning and Adversarial Robustness in Machine Learning.
- World rank
- #2,583,750 of 7,710,434 ranked researchers
- Rank in Russia
- #9,222 of 179,717
- Works
- 44
- Citations
- 2.3k
- Citations per work
- 51.3
What does Arip Asadulaev research?
Arip Asadulaev's work is mostly in Computer Science (60%), Engineering (12%), Biochemistry, Genetics and Molecular Biology (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 Sciences3272.3%
- Computer Science2760.3%
- Engineering512.0%
- Everything else920.0%
- Life Sciences24.3%
- Social Sciences13.4%
- Decision Sciences13.4%
- 1Artificial Intelligence52% of their works
- 2Computer Vision and Pattern Recognition9% of their works
- 3Control and Systems Engineering6% of their works
- 4Electrical and Electronic Engineering6% of their works
- 5Molecular Biology4% of their works
- 6Management Science and Operations Research3% of their works
Research topics
Which keywords describe Arip Asadulaev's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Representation Learning, Unsupervised Learning, Reinforcement Learning, Robotics, Meta-Learning and Domain Adaptation.
- Noisy Labels
- Interpretable Models
- Word Representation
- Robot Learning
- Robustness
- Generative Adversarial Networks
- Adversarial Examples
- Domain Adaptation
- Robotics
- Unsupervised Learning
- Neural Networks
- Deep Learning
- Representation Learning
- Reinforcement Learning
- Meta-Learning
- Transfer Learning
- Deep Neural Networks
- Image Synthesis
- Grasping
- Machine Translation
- Hyperparameter Optimization
- Machine Learning Interpretability
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 22 words, with their numbers
- Deep Learning314 topics
- Neural Networks304 topics
- Representation Learning152 topics
- Unsupervised Learning152 topics
- Reinforcement Learning141 topic
- Robotics141 topic
- Meta-Learning122 topics
- Domain Adaptation91 topic
- Transfer Learning91 topic
- Adversarial Examples61 topic
- Deep Neural Networks62 topics
- Generative Adversarial Networks61 topic
- Image Synthesis61 topic
- Robustness61 topic
- Grasping51 topic
- Robot Learning51 topic
- Machine Translation41 topic
- Word Representation41 topic
- Hyperparameter Optimization31 topic
- Interpretable Models31 topic
- Machine Learning Interpretability31 topic
- Noisy Labels31 topic
Where does Arip Asadulaev work?
Arip Asadulaev's main affiliation in the publication record is ITMO University, Russia.
How many publications and citations does Arip Asadulaev have?
OpenAlex counts 44 works and 2,257 citations for Arip Asadulaev, an h-index of 5, ranking #2,583,750 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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