A. S. Cavaretta
- Computational Mechanics top 5%
- Applied Mathematics top 5%
- Mechanical Engineering
- Computational Theory and Mathematics top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Charles A. MicchelliWolfgang DahmenR. S. VargaA. SharmaP. W. SmithPhilip W. SmithDonald J. NewmanH. P. Dikshit
- Topics
- Advanced Numerical Analysis Techniques (6 papers)Iterative Methods for Nonlinear Equations (3 papers)Matrix Theory and Algorithms (3 papers)
- Journals
- Transactions of the American Mathematical SocietyAmerican Mathematical MonthlyPacific Journal of Mathematics
- Partner nations
- United StatesCanada
In The Last Decade
A. S. Cavaretta
17 papers receiving 407 citations
Peers
Comparison fields: 5 of 33
- Computational Mechanics 301
- Applied Mathematics 154
- Mechanical Engineering 120
- Computational Theory and Mathematics 104
- Computer Vision and Pattern Recognition 96
Countries citing papers authored by A. S. Cavaretta
This map shows the geographic impact of A. S. Cavaretta'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 A. S. Cavaretta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. S. Cavaretta more than expected).
Fields of papers citing papers by A. S. Cavaretta
This network shows the impact of papers produced by A. S. Cavaretta. 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 A. S. Cavaretta. The network helps show where A. S. Cavaretta may publish in the future.
Co-authorship network of co-authors of A. S. Cavaretta
This figure shows the co-authorship network connecting the top 25 collaborators of A. S. Cavaretta. A scholar is included among the top collaborators of A. S. Cavaretta 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 A. S. Cavaretta. A. S. Cavaretta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 11 | |
| 9 | 15 | |
| 10 | 26 | |
| 11 | 2 | |
| 12 | 8 | |
| 13 | 24 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 9 | |
| 18 | 23 | |
| 19 | 12 | |
| 20 | 6 |
About A. S. Cavaretta
A. S. Cavaretta is a scholar working on Numerical Analysis, Algebra and Number Theory and Computational Theory and Mathematics, having authored 21 papers that have together received 459 indexed citations. Recurring topics across this work include Advanced Numerical Analysis Techniques (6 papers), Iterative Methods for Nonlinear Equations (3 papers) and Matrix Theory and Algorithms (3 papers). The work is most often cited by research in Applied Mathematics (154 citations), Numerical Analysis (79 citations) and Computational Mechanics (301 citations). A. S. Cavaretta has collaborated with scholars based in United States and Canada. Frequent co-authors include Charles A. Micchelli, Wolfgang Dahmen, R. S. Varga, A. Sharma, P. W. Smith, Philip W. Smith, Donald J. Newman, H. P. Dikshit and Richard S. Varga. Their work appears in journals such as Transactions of the American Mathematical Society, American Mathematical Monthly and Pacific Journal of Mathematics.
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.