Sholom Schechtman
Sholom Schechtman publishes mostly in Artificial Intelligence, Computational Theory and Mathematics and Applied Mathematics, on topics such as Stochastic Gradient Optimization Techniques, Optimization and Variational Analysis and Advanced Topology and Set Theory.
- World rank
- #4,383,498 of 7,710,434 ranked researchers
- Rank in France
- #184,485 of 324,115
- Works
- 19
- Citations
- 47
- Citations per work
- 2.5
What does Sholom Schechtman research?
Sholom Schechtman's work is mostly in Computer Science (40%), Mathematics (30%), Engineering (9%).
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 Sciences1579.2%
- Computer Science839.6%
- Mathematics630.2%
- Engineering29.4%
- Everything else420.8%
- 1Artificial Intelligence23% of their works
- 2Computational Theory and Mathematics17% of their works
- 3Applied Mathematics13% of their works
- 4Geometry and Topology11% of their works
- 5Computational Mechanics9% of their works
- 6Numerical Analysis6% of their works
Research topics
- Stochastic Gradient Optimization Techniques
- Optimization and Variational Analysis
- Advanced Topology and Set Theory
- Sparse and Compressive Sensing Techniques
- Point processes and geometric inequalities
- Geometric Analysis and Curvature Flows
- Advanced Optimization Algorithms Research
- Markov Chains and Monte Carlo Methods
Which keywords describe Sholom Schechtman's research?
The keywords of their largest research topics: Convex Optimization, Approximation Algorithms, Random Projections, Stochastic Gradient Descent, Iterative Algorithms, Nonlinear Operators, Model Theory and Topological Dynamics.
- Markov Chain
- Semidefinite Programming
- Optimization Software
- Spatstat
- Sparse Representation
- Topological Dynamics
- Nonlinear Operators
- Stochastic Gradient Descent
- Approximation Algorithms
- Convex Optimization
- Random Projections
- Iterative Algorithms
- Model Theory
- Compressed Sensing
- Point Processes
- Optimal Transport
- Ricci Curvature
- Bayesian Monte Carlo
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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.
All 18 words, with their numbers
- Convex Optimization173 topics
- Approximation Algorithms112 topics
- Random Projections91 topic
- Stochastic Gradient Descent91 topic
- Iterative Algorithms71 topic
- Nonlinear Operators71 topic
- Model Theory61 topic
- Topological Dynamics61 topic
- Compressed Sensing51 topic
- Sparse Representation51 topic
- Point Processes41 topic
- Spatstat41 topic
- Optimal Transport31 topic
- Optimization Software31 topic
- Ricci Curvature31 topic
- Semidefinite Programming31 topic
- Bayesian Monte Carlo21 topic
- Markov Chain21 topic
Where does Sholom Schechtman work?
Sholom Schechtman's main affiliation in the publication record is Institut Polytechnique de Paris, France.
How many publications and citations does Sholom Schechtman have?
OpenAlex counts 19 works and 47 citations for Sholom Schechtman, an h-index of 3, ranking #4,383,498 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised citation 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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