Bryan W. Lewis
- Mathematical Physics top 5%
- Computational Theory and Mathematics top 5%
- Computational Mechanics top 10%
- Atomic and Molecular Physics, and Optics
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Lothar ReichelDaniela CalvettiFiorella SgallariMichael B. KaneTaylor ArnoldRichard S. Varga
- Topics
- Numerical methods in inverse problems (10 papers)Matrix Theory and Algorithms (7 papers)Statistical and numerical algorithms (4 papers)
- Journals
- Numerische MathematikJournal of Computational and Applied MathematicsLinear Algebra and its Applications
- Partner nations
- United States
In The Last Decade
Bryan W. Lewis
17 papers receiving 362 citations
Peers
Comparison fields: 5 of 59
- Mathematical Physics 238
- Computational Theory and Mathematics 174
- Computational Mechanics 108
- Atomic and Molecular Physics, and Optics 99
- Computer Vision and Pattern Recognition 84
Countries citing papers authored by Bryan W. Lewis
This map shows the geographic impact of Bryan W. Lewis'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 Bryan W. Lewis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan W. Lewis more than expected).
Fields of papers citing papers by Bryan W. Lewis
This network shows the impact of papers produced by Bryan W. Lewis. 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 Bryan W. Lewis. The network helps show where Bryan W. Lewis may publish in the future.
Co-authorship network of co-authors of Bryan W. Lewis
This figure shows the co-authorship network connecting the top 25 collaborators of Bryan W. Lewis. A scholar is included among the top collaborators of Bryan W. Lewis 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 Bryan W. Lewis. Bryan W. Lewis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | Fast Truncated Singular Value Decomposition and Principal Components Analysis for Large Dense and Sparse Matrices [R package irlba version 2.3.3] | 4 |
| 3 | 47 | |
| 4 | THE DYNAMICAL MOTION OF THE ZEROS OF THE PARTIAL SUMS OF , AND ITS RELATIONSHIP TO DISCREPANCY THEORY | 1 |
| 5 | TIKHONOV REGULARIZATION WITH NONNEGATIVITY CONSTRAINT | 23 |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 56 | |
| 9 | 77 | |
| 10 | On the Choice of Subspace for Iterative Methods for Linear Discrete Ill-Posed Problems | 52 |
| 11 | 23 | |
| 12 | 8 | |
| 13 | 62 | |
| 14 | 16 | |
| 15 | 5 | |
| 16 | 6 | |
| 17 | 4 |
About Bryan W. Lewis
Bryan W. Lewis is a scholar working on Mathematical Physics, Numerical Analysis and Applied Mathematics, having authored 17 papers that have together received 397 indexed citations. Recurring topics across this work include Numerical methods in inverse problems (10 papers), Matrix Theory and Algorithms (7 papers) and Statistical and numerical algorithms (4 papers). The work is most often cited by research in Mathematical Physics (238 citations), Computational Theory and Mathematics (174 citations) and Numerical Analysis (51 citations). Bryan W. Lewis has collaborated with scholars based in United States. Frequent co-authors include Lothar Reichel, Daniela Calvetti, Fiorella Sgallari, Michael B. Kane, Taylor Arnold and Richard S. Varga. Their work appears in journals such as Numerische Mathematik, Journal of Computational and Applied Mathematics and Linear Algebra and its Applications.
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.