Laura Balzano
Laura Balzano publishes mostly in Artificial Intelligence, Computational Mechanics and Computer Vision and Pattern Recognition, on topics such as Sparse and Compressive Sensing Techniques, Blind Source Separation Techniques and Face and Expression Recognition.
- World rank
- #1,350,765 of 7,710,434 ranked researchers
- Rank in United States
- #428,079 of 1,627,098
- Works
- 153
- Citations
- 3.1k
- Citations per work
- 20.0
What does Laura Balzano research?
Laura Balzano's work is mostly in Computer Science (43%), Engineering (21%).
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 Sciences9864.3%
- Computer Science6542.8%
- Engineering3321.5%
- Everything else5535.7%
- 1Artificial Intelligence17% of their works
- 2Computational Mechanics15% of their works
- 3Computer Vision and Pattern Recognition12% of their works
- 4Signal Processing8% of their works
- 5Control and Systems Engineering7% of their works
- 6Computer Networks and Communications6% of their works
Research topics
- Sparse and Compressive Sensing Techniques
- Blind Source Separation Techniques
- Face and Expression Recognition
- Control Systems and Identification
- Distributed Sensor Networks and Detection Algorithms
- Stochastic Gradient Optimization Techniques
- Tensor decomposition and applications
- Neural Networks and Applications
Which keywords describe Laura Balzano's research?
The keywords of their largest research topics: Sparse Representation, Convex Optimization, Compressed Sensing, Signal Recovery, Blind Separation, Independent Component Analysis, Dimensionality Reduction and Face Recognition.
- Self-Organizing Maps
- Tensor Decomposition
- Random Projections
- Wireless Sensor Networks
- System Identification
- Neural Networks
- Face Recognition
- Independent Component Analysis
- Signal Recovery
- Convex Optimization
- Sparse Representation
- Compressed Sensing
- Blind Separation
- Dimensionality Reduction
- Deep Learning
- Parameter Estimation
- Distributed Detection
- Multilinear Algebra
- Stochastic Gradient Descent
- Backpropagation 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 20 words, with their numbers
- Sparse Representation1053 topics
- Convex Optimization702 topics
- Compressed Sensing591 topic
- Signal Recovery591 topic
- Blind Separation241 topic
- Independent Component Analysis241 topic
- Dimensionality Reduction221 topic
- Face Recognition221 topic
- Deep Learning192 topics
- Neural Networks192 topics
- Parameter Estimation131 topic
- System Identification131 topic
- Distributed Detection121 topic
- Wireless Sensor Networks121 topic
- Multilinear Algebra111 topic
- Random Projections111 topic
- Stochastic Gradient Descent111 topic
- Tensor Decomposition111 topic
- Backpropagation Learning81 topic
- Self-Organizing Maps81 topic
Where does Laura Balzano work?
Laura Balzano's main affiliation in the publication record is University of Michigan, United States.
How many publications and citations does Laura Balzano have?
OpenAlex counts 153 works and 3,067 citations for Laura Balzano, an h-index of 27, ranking #1,350,765 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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