Daniel Ray

2.3k total citations · 1 hit paper
14 papers, 1.3k citations indexed

About

Daniel Ray is a scholar working on Mathematical Physics, Applied Mathematics and Finance. According to data from OpenAlex, Daniel Ray has authored 14 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Mathematical Physics, 4 papers in Applied Mathematics and 3 papers in Finance. Recurrent topics in Daniel Ray's work include Stochastic processes and financial applications (3 papers), Advanced Numerical Analysis Techniques (2 papers) and Stochastic processes and statistical mechanics (2 papers). Daniel Ray is often cited by papers focused on Stochastic processes and financial applications (3 papers), Advanced Numerical Analysis Techniques (2 papers) and Stochastic processes and statistical mechanics (2 papers). Daniel Ray collaborates with scholars based in United States, France and Germany. Daniel Ray's co-authors include I. M. Singer, Robert Blumenthal, R. K. Getoor and H. P. McKean and has published in prestigious journals such as Annals of Mathematics, Transactions of the American Mathematical Society and Advances in Mathematics.

In The Last Decade

Daniel Ray

14 papers receiving 1.0k citations

Hit Papers

R-Torsion and the Laplacian on Riemannian manifolds 1971 2026 1989 2007 1971 100 200 300 400 500

Peers

Daniel Ray
Comparison fields: 5 of 61
  • Mathematical Physics 797
  • Geometry and Topology 430
  • Applied Mathematics 381
  • Statistical and Nonlinear Physics 244
  • Nuclear and High Energy Physics 219
Replace Paul R. Chernoff with:
Paul R. Chernoff United States
Roe Goodman United States
Pavel Bleher United States
N. Ja. Vilenkin Ukraine
Scott Sheffield⋆ United States
Hugo Rossi United States
Ovidiu Costin United States
Michel L. Lapidus United States
Albert Fathi France
Dan Voiculescu United States
Paul R. Chernoff United States View profile →
Citations per field, relative to Daniel Ray
Daniel Ray · 1×
Citations per year, relative to Daniel Ray
Daniel Ray · 1×

Countries citing papers authored by Daniel Ray

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel Ray

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Ray. A scholar is included among the top collaborators of Daniel Ray based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Ray. Daniel Ray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
# Work Indexed citations
1 4
2 264
3
R-Torsion and the Laplacian on Riemannian manifolds breakdown →
551
4 48
5 84
6 23
7 20
8 118
9 51
10 31
11 34
12 9
13 11
14 56

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026