S. Smale
Impact in
- Numerical Analysis top 5%
- Geometry and Topology top 5%
- Advanced Differential Equations and Dynamical Systems
Papers in
-
- Computability, Logic, AI Algorithms 2
- Polynomial and algebraic computation 2
- Complexity and Algorithms in Graphs 2
-
- Mathematical Dynamics and Fractals 4
- Co-authors
- M. Shub (4 shared papers)R. F. Williams (1 shared paper)James Renegar (1 shared paper)Felipe Cucker (2 shared papers)Andrea Caponnetto (2 shared papers)Pascal Koiran (1 shared paper)Lorenzo Rosasco (1 shared paper)Tomaso Poggio (1 shared paper)
- Journals
- Journal of Mathematical Economics (4 papers)Theoretical Computer Science (2 papers)Foundations of Computational Mathematics (2 papers)Journal of Mathematical Biology (2 papers)Inventiones mathematicae (1 paper)
- Partner nations
- United StatesHong KongItaly
In The Last Decade
S. Smale
18 papers receiving 988 citations
Peers
Comparison fields: 5 of 83
- Numerical Analysis 124
- Geometry and Topology 194
- Computational Mathematics 11
- Computational Theory and Mathematics 293
- Statistical and Nonlinear Physics 225
Countries citing papers authored by S. Smale
This map shows the geographic impact of S. Smale'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. Smale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Smale more than expected).
Fields of papers citing papers by S. Smale
This network shows the impact of papers produced by S. Smale. 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. Smale. The network helps show where S. Smale may publish in the future.
Co-authors
The 8 scholars most cited alongside S. Smale, 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 | 1976 | 222 | |
| 2 | 1970 | 215 | |
| 3 | 1994 | 81 | |
| 4 | 1972 | 81 | |
| 5 | 1986 | 62 | |
| 6 | The mathematics of numerical analysis | 1996 | 61 |
| 7 | 1976 | 59 | |
| 8 | 1974 | 55 | |
| 9 | 1974 | 47 | |
| 10 | 1976 | 43 | |
| 11 | 2009 | 34 | |
| 12 | 2005 | 33 | |
| 13 | 1974 | 30 | |
| 14 | 1999 | 24 | |
| 15 | 1994 | 23 | |
| 16 | 1980 | 12 | |
| 17 | 2007 | 3 | |
| 18 | 1969 | 3 |
About S. Smale
S. Smale is a scholar working on Computational Theory and Mathematics, Mathematical Physics, Artificial Intelligence, Economics and Econometrics and Geometry and Topology, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mathematical Dynamics and Fractals (4 papers), Computability, Logic, AI Algorithms (2 papers), Economic theories and models (2 papers), Polynomial and algebraic computation (2 papers), Neural Networks and Applications (2 papers), Complexity and Algorithms in Graphs (2 papers), Iterative Methods for Nonlinear Equations (1 paper) and Advanced Mathematical Theories and Applications (1 paper). The work is most often cited by research in Numerical Analysis (124 citations), Geometry and Topology (194 citations), Computational Mathematics (11 citations), Computational Theory and Mathematics (293 citations) and Statistical and Nonlinear Physics (225 citations). S. Smale has collaborated with scholars based in United States, Hong Kong and Italy. Frequent co-authors include M. Shub, R. F. Williams, James Renegar, Felipe Cucker, Andrea Caponnetto, Pascal Koiran, Lorenzo Rosasco and Tomaso Poggio. Their work appears in journals such as Journal of Mathematical Economics, Theoretical Computer Science, Foundations of Computational Mathematics, Journal of Mathematical Biology and Inventiones mathematicae.
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.