Mark Tygert
Mark Tygert publishes mostly in Artificial Intelligence, Statistics and Probability and Computational Mechanics, on topics such as Sparse and Compressive Sensing Techniques, Gaussian Processes and Bayesian Inference and Face and Expression Recognition.
- World rank
- #204,754 of 1,633,909 ranked researchers
- Rank in United States
- #82,606 of 358,040
- Works
- 22
- Citations
- 247
- Citations per work
- 11.2
What does Mark Tygert research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence21% of their works
- 2Statistics and Probability12% of their works
- 3Computational Mechanics12% of their works
- 4Computational Theory and Mathematics9% of their works
- 5Signal Processing9% of their works
- 6Mathematical Physics6% of their works
Research topics
Which keywords describe Mark Tygert's research?
The keywords of their largest research topics: Sparse Representation, Compressed Sensing, Signal Recovery, Deep Learning, Blind Separation, Dimensionality Reduction, Face Recognition and Gaussian Processes.
- Suffix Arrays
- Neural Networks
- Interpretable Models
- Causal Inference
- Machine Learning
- Gaussian Processes
- Dimensionality Reduction
- Deep Learning
- Compressed Sensing
- Sparse Representation
- Signal Recovery
- Blind Separation
- Face Recognition
- Independent Component Analysis
- Bayesian Networks
- Compression
- Machine Learning Interpretability
- Self-Organizing Maps
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 18 words, with their numbers
- Sparse Representation83 topics
- Compressed Sensing41 topic
- Signal Recovery41 topic
- Deep Learning32 topics
- Blind Separation21 topic
- Dimensionality Reduction21 topic
- Face Recognition21 topic
- Gaussian Processes21 topic
- Independent Component Analysis21 topic
- Machine Learning21 topic
- Bayesian Networks11 topic
- Causal Inference11 topic
- Compression11 topic
- Interpretable Models11 topic
- Machine Learning Interpretability11 topic
- Neural Networks11 topic
- Self-Organizing Maps11 topic
- Suffix Arrays11 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?
Science Explorer counts 22 works and 247 citations for Mark Tygert, ranking #204,754 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.
Papers, co-authors, who cited this work and researchers on the nearest topics are in the interactive view on the map. Is this your page? Request a correction or removal.