Abhimanyu Dubey
Abhimanyu Dubey publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research, on topics such as Multimodal Machine Learning Applications, Domain Adaptation and Few-Shot Learning and Advanced Bandit Algorithms Research.
- World rank
- #2,061,914 of 7,710,434 ranked researchers
- Rank in United States
- #623,760 of 1,627,098
- Works
- 62
- Citations
- 1.4k
- Citations per work
- 22.3
What does Abhimanyu Dubey research?
Abhimanyu Dubey's work is mostly in Computer Science (60%), Decision Sciences (8%), Engineering (5%).
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 Sciences4368.6%
- Computer Science3759.9%
- Engineering34.9%
- Physics and Astronomy23.8%
- Everything else1423.2%
- Social Sciences58.2%
- Decision Sciences58.2%
- 1Artificial Intelligence31% of their works
- 2Computer Vision and Pattern Recognition26% of their works
- 3Management Science and Operations Research8% of their works
- 4Civil and Structural Engineering5% of their works
- 5Statistical and Nonlinear Physics4% of their works
- 6Computer Networks and Communications3% of their works
Research topics
- Multimodal Machine Learning Applications
- Domain Adaptation and Few-Shot Learning
- Advanced Bandit Algorithms Research
- Advanced Neural Network Applications
- Generative Adversarial Networks and Image Synthesis
- Privacy-Preserving Technologies in Data
- Explainable Artificial Intelligence (XAI)
- Structural Engineering and Vibration Analysis
Which keywords describe Abhimanyu Dubey's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Representation Learning, Unsupervised Learning, Image Captioning, Visual Question Answering, Domain Adaptation and Transfer Learning.
- Vibration Serviceability
- Interpretable Models
- Federated Learning
- Image Synthesis
- Image Recognition
- Bayesian Optimization
- Transfer Learning
- Visual Question Answering
- Unsupervised Learning
- Neural Networks
- Deep Learning
- Representation Learning
- Image Captioning
- Domain Adaptation
- Bandit Optimization
- Convolutional Neural Networks
- Generative Adversarial Networks
- Differential Privacy
- Footbridges
- 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.
All 20 words, with their numbers
- Deep Learning283 topics
- Neural Networks202 topics
- Representation Learning192 topics
- Unsupervised Learning192 topics
- Image Captioning131 topic
- Visual Question Answering131 topic
- Domain Adaptation121 topic
- Transfer Learning121 topic
- Bandit Optimization111 topic
- Bayesian Optimization111 topic
- Convolutional Neural Networks81 topic
- Image Recognition81 topic
- Generative Adversarial Networks71 topic
- Image Synthesis71 topic
- Differential Privacy61 topic
- Federated Learning61 topic
- Footbridges61 topic
- Interpretable Models61 topic
- Machine Learning Interpretability61 topic
- Vibration Serviceability61 topic
Where does Abhimanyu Dubey work?
Abhimanyu Dubey's main affiliation in the publication record is Massachusetts Institute of Technology, United States.
How many publications and citations does Abhimanyu Dubey have?
OpenAlex counts 62 works and 1,384 citations for Abhimanyu Dubey, an h-index of 14, ranking #2,061,914 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.
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
Ask a question or share a note about Abhimanyu Dubey. Posts are plain text and can be reported.