M. Vidyasagar
M. Vidyasagar publishes mostly in Artificial Intelligence, Electrical and Electronic Engineering and Control and Systems Engineering, on topics such as Machine Learning and Algorithms, Sparse and Compressive Sensing Techniques and Neural Networks and Applications.
- World rank
- #468,371 of 1,633,909 ranked researchers
- Rank in United States
- #158,735 of 358,040
- Works
- 63
- Citations
- 183
- Citations per work
- 2.9
What does M. Vidyasagar research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence22% of their works
- 2Electrical and Electronic Engineering12% of their works
- 3Control and Systems Engineering9% of their works
- 4Molecular Biology7% of their works
- 5Computational Mechanics7% of their works
- 6Computational Theory and Mathematics4% of their works
Research topics
Which keywords describe M. Vidyasagar's research?
The keywords of their largest research topics: Deep Learning, Convex Optimization, Machine Learning, Neural Networks, Active Learning, Compressed Sensing, Semi-Supervised Learning and Sparse Representation.
- Optimization
- Medical Image Analysis
- Histopathology Images
- Stochastic Gradient Descent
- Random Projections
- Electrical Impedance Tomography
- Sparse Representation
- Compressed Sensing
- Neural Networks
- Convex Optimization
- Deep Learning
- Machine Learning
- Active Learning
- Semi-Supervised Learning
- Backpropagation Learning
- Image Reconstruction Algorithms
- Self-Organizing Maps
- CMOS
- Low-Power
- Model Predictive Control
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 Learning134 topics
- Convex Optimization82 topics
- Machine Learning72 topics
- Neural Networks62 topics
- Active Learning51 topic
- Compressed Sensing51 topic
- Semi-Supervised Learning51 topic
- Sparse Representation51 topic
- Backpropagation Learning31 topic
- Electrical Impedance Tomography31 topic
- Image Reconstruction Algorithms31 topic
- Random Projections31 topic
- Self-Organizing Maps31 topic
- Stochastic Gradient Descent31 topic
- CMOS21 topic
- Histopathology Images21 topic
- Low-Power21 topic
- Medical Image Analysis21 topic
- Model Predictive Control21 topic
- Optimization21 topic
Where does M. Vidyasagar work?
M. Vidyasagar's main affiliation in the publication record is The University of Texas at Dallas, United States.
How many publications and citations does M. Vidyasagar have?
Science Explorer counts 63 works and 183 citations for M. Vidyasagar, ranking #468,371 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.
Other researchers named M. Vidyasagar
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