Michael W. Mahoney
Michael W. Mahoney publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics, on topics such as Stochastic Gradient Optimization Techniques, Sparse and Compressive Sensing Techniques and Neural Networks and Applications.
- World rank
- #78,535 of 7,710,434 ranked researchers
- Rank in United States
- #30,282 of 1,627,098
- Works
- 511
- Citations
- 25k
- Citations per work
- 48.8
What does Michael W. Mahoney research?
Michael W. Mahoney's work is mostly in Computer Science (50%), Engineering (9%), Physics and Astronomy (6%).
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 Sciences34767.9%
- Computer Science25349.6%
- Engineering448.7%
- Physics and Astronomy336.4%
- Mathematics163.2%
- Everything else16432.1%
- 1Artificial Intelligence35% of their works
- 2Computer Vision and Pattern Recognition9% of their works
- 3Computational Mechanics9% of their works
- 4Statistical and Nonlinear Physics6% of their works
- 5Computational Theory and Mathematics5% of their works
- 6Statistics and Probability3% of their works
Research topics
Which keywords describe Michael W. Mahoney's research?
The keywords of their largest research topics: Deep Learning, Convex Optimization, Neural Networks, Random Projections, Stochastic Gradient Descent, Compressed Sensing, Sparse Representation and Machine Learning.
- Adversarial Examples
- Model Reduction
- Community Structure
- Active Learning
- Convolutional Neural Networks
- Backpropagation Learning
- Machine Learning
- Compressed Sensing
- Random Projections
- Convex Optimization
- Deep Learning
- Neural Networks
- Stochastic Gradient Descent
- Sparse Representation
- Image Classification
- Self-Organizing Maps
- Image Recognition
- Semi-Supervised Learning
- Network Dynamics
- Partial Differential Equations
- Robustness
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 Learning3296 topics
- Convex Optimization2502 topics
- Neural Networks2133 topics
- Random Projections1311 topic
- Stochastic Gradient Descent1311 topic
- Compressed Sensing1191 topic
- Sparse Representation1191 topic
- Machine Learning1043 topics
- Image Classification822 topics
- Backpropagation Learning511 topic
- Self-Organizing Maps511 topic
- Convolutional Neural Networks431 topic
- Image Recognition431 topic
- Active Learning391 topic
- Semi-Supervised Learning391 topic
- Community Structure351 topic
- Network Dynamics351 topic
- Model Reduction341 topic
- Partial Differential Equations341 topic
- Adversarial Examples311 topic
- Robustness311 topic
Where does Michael W. Mahoney work?
Michael W. Mahoney's main affiliation in the publication record is University of California, Berkeley, United States.
How many publications and citations does Michael W. Mahoney have?
OpenAlex counts 511 works and 24,929 citations for Michael W. Mahoney, an h-index of 63, ranking #78,535 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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