S. C. Williams

577 total citations
7 papers, 382 citations indexed

About

S. C. Williams is a scholar working on Mathematical Physics, Geometry and Topology and Artificial Intelligence. According to data from OpenAlex, S. C. Williams has authored 7 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Mathematical Physics, 2 papers in Geometry and Topology and 2 papers in Artificial Intelligence. Recurrent topics in S. C. Williams's work include Spectral Theory in Mathematical Physics (2 papers), Advanced Topology and Set Theory (2 papers) and Bayesian Methods and Mixture Models (2 papers). S. C. Williams is often cited by papers focused on Spectral Theory in Mathematical Physics (2 papers), Advanced Topology and Set Theory (2 papers) and Bayesian Methods and Mixture Models (2 papers). S. C. Williams collaborates with scholars based in United States, United Kingdom and Germany. S. C. Williams's co-authors include R. Daniel Mauldin, William D. Sudderth, Siegfried Graf, Lance L. Littlejohn, W. N. Everitt, Jong‐Koo Lee and K.H. Kwon and has published in prestigious journals such as The Annals of Statistics, Transactions of the American Mathematical Society and Advances in Mathematics.

In The Last Decade

S. C. Williams

7 papers receiving 323 citations

Peers

Countries citing papers authored by S. C. Williams

Since Specialization

Citations

This map shows the geographic impact of S. C. Williams'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 S. C. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. C. Williams more than expected).

Fields of papers citing papers by S. C. Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. C. Williams. 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 S. C. Williams. The network helps show where S. C. Williams may publish in the future.

Co-authorship network of co-authors of S. C. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of S. C. Williams. A scholar is included among the top collaborators of S. C. Williams 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 S. C. Williams. S. C. Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

#	Work	Indexed citations
1	Self-Adjoint Operators Generated from Non-Lagrangian Symmetric Differential Equations Having Orthogonal Polynomial Eigenfunctions 2001 ·Rocky Mountain Journal of Mathematics ·W. N. Everitt, K.H. Kwon, Jong‐Koo Lee, Lance L. Littlejohn, S. C. Williams	4
2	Orthogonal polynomials and approximation in Sobolev spaces 1993 ·Journal of Computational and Applied Mathematics ·W. N. Everitt, Lance L. Littlejohn, S. C. Williams	19
3	Polya Trees and Random Distributions 1992 ·The Annals of Statistics ·R. Daniel Mauldin, William D. Sudderth, S. C. Williams	140
4	The left-definite Legendre type boundary problem 1991 ·Constructive Approximation ·W. N. Everitt, Lance L. Littlejohn, S. C. Williams	5
5	Reinforced random walks and random distributions 1990 ·Proceedings of the American Mathematical Society ·R. Daniel Mauldin, S. C. Williams	8
6	Random homeomorphisms 1986 ·Advances in Mathematics ·Siegfried Graf, R. Daniel Mauldin, S. C. Williams	26
7	Random recursive constructions: asymptotic geometric and topological properties 1986 ·Transactions of the American Mathematical Society ·R. Daniel Mauldin, S. C. Williams	180

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.

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