Mark Tygert
Mark Tygert publishes mostly in Artificial Intelligence, Statistics and Probability and Computational Mechanics, on topics such as Sparse and Compressive Sensing Techniques, Advanced Statistical Methods and Models and Stochastic Gradient Optimization Techniques.
- World rank
- #668,100 of 7,710,434 ranked researchers
- Rank in United States
- #226,981 of 1,627,098
- Works
- 85
- Citations
- 3.5k
- Citations per work
- 40.6
What does Mark Tygert research?
Mark Tygert's work is mostly in Computer Science (36%), Mathematics (19%), Engineering (12%).
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 Sciences5969.6%
- Computer Science3035.8%
- Mathematics1618.8%
- Engineering1011.7%
- Physics and Astronomy33.3%
- Everything else2630.4%
- 1Artificial Intelligence20% of their works
- 2Statistics and Probability19% of their works
- 3Computational Mechanics12% of their works
- 4Computer Vision and Pattern Recognition8% of their works
- 5Computational Theory and Mathematics8% of their works
- 6Atomic and Molecular Physics, and Optics3% of their works
Research topics
Which keywords describe Mark Tygert's research?
The keywords of their largest research topics: Convex Optimization, Sparse Representation, Deep Learning, Neural Networks, Compressed Sensing, Signal Recovery, Multicollinearity and Regression Analysis.
- Integral Equation Methods
- Face Recognition
- Numerical Linear Algebra
- Variable Selection
- Self-Organizing Maps
- Stochastic Gradient Descent
- Regression Analysis
- Signal Recovery
- Neural Networks
- Sparse Representation
- Convex Optimization
- Deep Learning
- Compressed Sensing
- Multicollinearity
- Random Projections
- Backpropagation Learning
- Regularization
- Matrix Computations
- Dimensionality Reduction
- Electromagnetic Scattering
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
- Convex Optimization372 topics
- Sparse Representation312 topics
- Deep Learning282 topics
- Neural Networks282 topics
- Compressed Sensing221 topic
- Signal Recovery221 topic
- Multicollinearity161 topic
- Regression Analysis161 topic
- Random Projections151 topic
- Stochastic Gradient Descent151 topic
- Backpropagation Learning131 topic
- Self-Organizing Maps131 topic
- Regularization111 topic
- Variable Selection111 topic
- Matrix Computations101 topic
- Numerical Linear Algebra101 topic
- Dimensionality Reduction91 topic
- Face Recognition91 topic
- Electromagnetic Scattering81 topic
- Integral Equation Methods81 topic
Where does Mark Tygert work?
Mark Tygert's main affiliation in the publication record is Meta (United States), United States.
How many publications and citations does Mark Tygert have?
OpenAlex counts 85 works and 3,454 citations for Mark Tygert, an h-index of 20, ranking #668,100 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.
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