A. V. Levy
Impact in
- Numerical Analysis top 1%
- Advanced Optimization Algorithms Research
- Iterative Methods for Nonlinear Equations
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- Advanced Multi-Objective Optimization Algorithms
- Optimization and Variational Analysis
- Matrix Theory and Algorithms
Papers in
-
- Advanced Optimization Algorithms Research 15
- Iterative Methods for Nonlinear Equations 7
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- Medical Imaging Techniques and Applications 10
- Advanced MRI Techniques and Applications 8
- Co-authors
- A. Miele (10 shared papers)Susana Gómez (2 shared papers)Nora D. Volkow (6 shared papers)Ramaswamy R. Iyer (3 shared papers)Jonathan D. Brodie (6 shared papers)John C. Heideman (3 shared papers)H. Y. Huang (1 shared paper)Atam P. Dhawan (3 shared papers)
- Journals
- Journal of Optimization Theory and Applications (10 papers)IEEE Transactions on Biomedical Engineering (2 papers)Journal of Cerebral Blood Flow & Metabolism (2 papers)Lecture notes in mathematics (2 papers)Academic Radiology (1 paper)
- Partner nations
- United StatesMexicoFrance
In The Last Decade
A. V. Levy
34 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 102
- Numerical Analysis 485
- Computational Theory and Mathematics 481
- Artificial Intelligence 253
- Control and Systems Engineering 149
- Computer Vision and Pattern Recognition 128
Countries citing papers authored by A. V. Levy
This map shows the geographic impact of A. V. Levy'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. V. Levy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. V. Levy more than expected).
Fields of papers citing papers by A. V. Levy
This network shows the impact of papers produced by A. V. Levy. 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. V. Levy. The network helps show where A. V. Levy may publish in the future.
Co-authors
The 25 scholars most cited alongside A. V. Levy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1985 | 359 | |
| 2 | 1972 | 87 | |
| 3 | 1992 | 67 | |
| 4 | 1982 | 59 | |
| 5 | 1971 | 55 | |
| 6 | 1969 | 55 | |
| 7 | Principal axes and surface fitting methods for three-dimensional image registration. | 1993 | 48 |
| 8 | 1971 | 38 | |
| 9 | 1995 | 38 | |
| 10 | 1982 | 35 | |
| 11 | 1971 | 33 | |
| 12 | 1970 | 29 | |
| 13 | 1995 | 27 | |
| 14 | 1970 | 24 | |
| 15 | 1972 | 22 | |
| 16 | 1989 | 17 | |
| 17 | 2001 | 17 | |
| 18 | 1991 | 16 | |
| 19 | 1975 | 16 | |
| 20 | 1983 | 16 |
About A. V. Levy
A. V. Levy is a scholar working on Numerical Analysis, Radiology, Nuclear Medicine and Imaging, Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (15 papers), Medical Imaging Techniques and Applications (10 papers), Optimization and Variational Analysis (9 papers), Advanced MRI Techniques and Applications (8 papers), Iterative Methods for Nonlinear Equations (7 papers), Sparse and Compressive Sensing Techniques (7 papers), Medical Image Segmentation Techniques (4 papers) and Functional Brain Connectivity Studies (4 papers). The work is most often cited by research in Numerical Analysis (485 citations), Computational Theory and Mathematics (481 citations), Artificial Intelligence (253 citations), Control and Systems Engineering (149 citations) and Computer Vision and Pattern Recognition (128 citations). A. V. Levy has collaborated with scholars based in United States, Mexico and France. Frequent co-authors include A. Miele, Susana Gómez, Nora D. Volkow, Ramaswamy R. Iyer, Jonathan D. Brodie, John C. Heideman, H. Y. Huang, Atam P. Dhawan, Robert Cancro and A.P. Wolf. Their work appears in journals such as Journal of Optimization Theory and Applications, IEEE Transactions on Biomedical Engineering, Journal of Cerebral Blood Flow & Metabolism, Lecture notes in mathematics and Academic Radiology.
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.