Daniel Ray
Impact in
- Mathematical Physics top 1%
- Advanced Operator Algebra Research
- Spectral Theory in Mathematical Physics
- Stochastic processes and statistical mechanics
- Geometry and Topology top 1%
- Geometry and complex manifolds
- Geometric and Algebraic Topology
Papers in
-
- Stochastic processes and statistical mechanics 2
- advanced mathematical theories 2
- Spectral Theory in Mathematical Physics 2
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- Geometric Analysis and Curvature Flows 2
- Co-authors
- I. M. Singer (2 shared papers)R. K. Getoor (1 shared paper)Robert Blumenthal (1 shared paper)H. P. McKean (1 shared paper)
- Journals
- Transactions of the American Mathematical Society (7 papers)Annals of Mathematics (2 papers)Advances in Mathematics (2 papers)Duke Mathematical Journal (1 paper)Illinois Journal of Mathematics (1 paper)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Daniel Ray
14 papers receiving 1.1k citations
Daniel Ray's Hit Papers
Peers
Comparison fields: 5 of 61
- Mathematical Physics 813
- Geometry and Topology 435
- Applied Mathematics 387
- Statistical and Nonlinear Physics 255
- Algebra and Number Theory 93
Countries citing papers authored by Daniel Ray
This map shows the geographic impact of Daniel Ray's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel Ray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Ray more than expected).
Fields of papers citing papers by Daniel Ray
This network shows the impact of papers produced by Daniel Ray. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel Ray. The network helps show where Daniel Ray may publish in the future.
Co-authors
The 4 scholars most cited alongside Daniel Ray, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | R-Torsion and the Laplacian on Riemannian manifolds Hit paper breakdown → | 1971 | 567 |
| 2 | 1973 | 266 | |
| 3 | 1961 | 120 | |
| 4 | 1963 | 87 | |
| 5 | 1954 | 58 | |
| 6 | 1970 | 51 | |
| 7 | 1959 | 51 | |
| 8 | 1956 | 34 | |
| 9 | 1958 | 32 | |
| 10 | 1963 | 23 | |
| 11 | 1962 | 20 | |
| 12 | 1954 | 11 | |
| 13 | 1956 | 9 | |
| 14 | 2009 | 4 |
About Daniel Ray
Daniel Ray is a scholar working on Mathematical Physics, Applied Mathematics, Finance, Computational Mechanics and Computational Theory and Mathematics, having authored 14 papers that have together received 1.3k indexed citations. Recurring topics across this work include Stochastic processes and financial applications (3 papers), Advanced Mathematical Modeling in Engineering (2 papers), Geometric Analysis and Curvature Flows (2 papers), Stochastic processes and statistical mechanics (2 papers), advanced mathematical theories (2 papers), Advanced Numerical Analysis Techniques (2 papers), Spectral Theory in Mathematical Physics (2 papers) and Advanced Differential Geometry Research (1 paper). The work is most often cited by research in Mathematical Physics (813 citations), Geometry and Topology (435 citations), Applied Mathematics (387 citations), Statistical and Nonlinear Physics (255 citations) and Algebra and Number Theory (93 citations). Daniel Ray has collaborated with scholars based in United States, Germany and France. Frequent co-authors include I. M. Singer, R. K. Getoor, Robert Blumenthal and H. P. McKean. Their work appears in journals such as Transactions of the American Mathematical Society, Annals of Mathematics, Advances in Mathematics, Duke Mathematical Journal and Illinois Journal of Mathematics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.