Alan D. Sloan
- Mathematical Physics top 2%
- Computer Vision and Pattern Recognition top 5%
- Computational Theory and Mathematics top 5%
- Artificial Intelligence top 10%
- Statistical and Nonlinear Physics top 10%
- Topics
- Spectral Theory in Mathematical Physics (6 papers)Mathematical Dynamics and Fractals (4 papers)advanced mathematical theories (3 papers)
- Cited by
- Mathematical PhysicsComputer Vision and Pattern RecognitionComputational Theory and Mathematics
- Journals
- Annals of the New York Academy of SciencesTransactions of the American Mathematical SocietyJournal of Differential Equations
- Partner nations
- United StatesIsrael
In The Last Decade
Alan D. Sloan
16 papers receiving 405 citations
Peers
Comparison fields: 5 of 63
- Mathematical Physics 333
- Computer Vision and Pattern Recognition 171
- Computational Theory and Mathematics 118
- Artificial Intelligence 110
- Statistical and Nonlinear Physics 57
Countries citing papers authored by Alan D. Sloan
This map shows the geographic impact of Alan D. Sloan'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 Alan D. Sloan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan D. Sloan more than expected).
Fields of papers citing papers by Alan D. Sloan
This network shows the impact of papers produced by Alan D. Sloan. 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 Alan D. Sloan. The network helps show where Alan D. Sloan may publish in the future.
Co-authorship network of co-authors of Alan D. Sloan
This figure shows the co-authorship network connecting the top 25 collaborators of Alan D. Sloan. A scholar is included among the top collaborators of Alan D. Sloan 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 Alan D. Sloan. Alan D. Sloan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | Chaotic Optimization and the Construction of Fractals: Solution of an Inverse Problem. | 17 |
| 4 | 229 | |
| 5 | 62 | |
| 6 | 8 | |
| 7 | 22 | |
| 8 | 0 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 5 | |
| 13 | 55 | |
| 14 | 26 | |
| 15 | 2 | |
| 16 | 13 | |
| 17 | 3 | |
| 18 | 12 | |
| 19 | 0 | |
| 20 | 2 |
About Alan D. Sloan
Alan D. Sloan is a scholar working on Mathematical Physics, Computer Graphics and Computer-Aided Design and Applied Mathematics, having authored 21 papers that have together received 473 indexed citations. Recurring topics across this work include Spectral Theory in Mathematical Physics (6 papers), Mathematical Dynamics and Fractals (4 papers) and advanced mathematical theories (3 papers). The work is most often cited by research in Mathematical Physics (333 citations), Computer Vision and Pattern Recognition (171 citations) and Computational Theory and Mathematics (118 citations). Alan D. Sloan has collaborated with scholars based in United States and Israel. Frequent co-authors include Michael F. Barnsley, Ira Herbst, A. Jacquin, Giorgio Mantica, Peter Massopust and Marc A. Berger. Their work appears in journals such as Annals of the New York Academy of Sciences, Transactions of the American Mathematical Society and Journal of Differential Equations.
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.