Martin L. Silverstein
- Mathematical Physics top 2%
- Applied Mathematics top 2%
- Finance top 5%
- Computational Theory and Mathematics top 5%
- Statistics and Probability top 5%
- Co-authors
- D. L. BurkholderRichard F. GundyDitlev MonradG. S. GuralnikCarl M. BenderRobert FeffermanE. M. SteinFred Cooper
- Topics
- Stochastic processes and statistical mechanics (4 papers)Mathematical Dynamics and Fractals (4 papers)Markov Chains and Monte Carlo Methods (4 papers)
- Journals
- Proceedings of the National Academy of SciencesLecture notes in mathematicsTransactions of the American Mathematical Society
- Partner nations
- United StatesChina
In The Last Decade
Martin L. Silverstein
21 papers receiving 428 citations
Peers
Comparison fields: 5 of 49
- Mathematical Physics 321
- Applied Mathematics 238
- Finance 118
- Computational Theory and Mathematics 87
- Statistics and Probability 75
Countries citing papers authored by Martin L. Silverstein
This map shows the geographic impact of Martin L. Silverstein'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 Martin L. Silverstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin L. Silverstein more than expected).
Fields of papers citing papers by Martin L. Silverstein
This network shows the impact of papers produced by Martin L. Silverstein. 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 Martin L. Silverstein. The network helps show where Martin L. Silverstein may publish in the future.
Co-authorship network of co-authors of Martin L. Silverstein
This figure shows the co-authorship network connecting the top 25 collaborators of Martin L. Silverstein. A scholar is included among the top collaborators of Martin L. Silverstein 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 Martin L. Silverstein. Martin L. Silverstein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 7 | |
| 3 | 1 | |
| 4 | 12 | |
| 5 | 45 | |
| 6 | 4 | |
| 7 | 14 | |
| 8 | 3 | |
| 9 | 9 | |
| 10 | 1 | |
| 11 | 17 | |
| 12 | 40 | |
| 13 | 4 | |
| 14 | 6 | |
| 15 | 19 | |
| 16 | 0 | |
| 17 | 3 | |
| 18 | 60 | |
| 19 | 77 | |
| 20 | 7 |
About Martin L. Silverstein
Martin L. Silverstein is a scholar working on Mathematical Physics, Applied Mathematics and Numerical Analysis, having authored 23 papers that have together received 519 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (4 papers), Mathematical Dynamics and Fractals (4 papers) and Markov Chains and Monte Carlo Methods (4 papers). The work is most often cited by research in Mathematical Physics (321 citations), Applied Mathematics (238 citations) and Finance (118 citations). Martin L. Silverstein has collaborated with scholars based in United States and China. Frequent co-authors include D. L. Burkholder, Richard F. Gundy, Ditlev Monrad, G. S. Guralnik, Carl M. Bender, Robert Fefferman, E. M. Stein, Fred Cooper, David H. Sharp and Richard L. Wheeden. Their work appears in journals such as Proceedings of the National Academy of Sciences, Lecture notes in mathematics and Transactions of the American Mathematical Society.
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.