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Alan David Weinstein (born 17 June 1943) is a professor of mathematics at the University of California, Berkeley, working in the field of differential geometry, and especially in Poisson geometry.
The analysis highlights Works, Research and Career as prominent areas in the source structure around Alan Weinstein.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Alan Weinstein shows recurring relationship patterns in the source. For example, Alan Weinstein → Alain Weinstein, BerkeleyAlan Weinstein, California, Mathematics Genealogy Project, University, Weinstein's Another extracted example is Alan Weinstein → Poisson, The. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
symplectic weinstein geometry berkeley university mathematics marsden california born mathematical many professor differential poisson research notes new weinstein's riemannian 1967
TTTA extracted 15 structured relationships around Alan Weinstein. Examples in this analysis include Alan Weinstein → Alma mater → University of California, Berkeley and Alan Weinstein → Born → June 17, 1943 (1943-06-17) (age 83) New York, United States. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Alan Weinstein | Alma mater | University of California, Berkeley | 1.00 | infobox |
| Alan Weinstein | Born | June 17, 1943 (1943-06-17) (age 83) New York, United States | 1.00 | infobox |
| Alan Weinstein | Doctoral advisor | Shiing-Shen Chern | 1.00 | infobox |
| Alan Weinstein | Doctoral students | Theodore Courant Viktor Ginzburg Steve Omohundro Steven Zelditch Yong-Geun Oh Chenchang Zhu | 1.00 | infobox |
| Alan Weinstein | Fields | Mathematics | 1.00 | infobox |
| Alan Weinstein | Known for | Weinstein conjecture Weinstein's neighbourhood theorem Weinstein's symplectic category Marsden–Weinstein quotient Courant algebroid Symplectic groupoid | 1.00 | infobox |
| Alan Weinstein | Thesis | The Cut Locus and Conjugate Locus of a Riemannian Manifold (1967) | 1.00 | infobox |
| Alan Weinstein | related to External links | Weinstein's | 0.60 | section |
| Alan Weinstein | related to External links | Alain Weinstein | 0.60 | section |
| Alan Weinstein | related to External links | University | 0.60 | section |
| Alan Weinstein | related to External links | California | 0.60 | section |
| Alan Weinstein | related to External links | BerkeleyAlan Weinstein | 0.60 | section |
The concept neighborhoods around Alan Weinstein bring nearby vocabulary together. In this analysis, examples include Poisson, California and Mathematics. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Alan Weinstein, one of the stronger structural bridges in this analysis connects Alan Weinstein with Research. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Alan Weinstein to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Works, Research & Career, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Alan Weinstein · EN edition · Analysis: TopicsToTalkAbout