Richard S. Varga
- Computational Theory and Mathematics top 0.02%
- Numerical Analysis top 0.05%
- Computational Mechanics top 0.2%
- Applied Mathematics top 0.2%
- Electrical and Electronic Engineering top 5%
- Co-authors
- James H. BrambleGene H. GolubGarrett BirkhoffGeorge CsordásJ. GillisBlair SwartzEdward B. SaffWalter Gautschi
- Topics
- Matrix Theory and Algorithms (42 papers)Mathematical functions and polynomials (20 papers)Advanced Optimization Algorithms Research (18 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Richard S. Varga
112 papers receiving 7.7k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Computational Theory and Mathematics 4.7k
- Numerical Analysis 3.6k
- Computational Mechanics 2.1k
- Applied Mathematics 1.3k
- Electrical and Electronic Engineering 1.2k
Countries citing papers authored by Richard S. Varga
This map shows the geographic impact of Richard S. Varga'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 Richard S. Varga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard S. Varga more than expected).
Fields of papers citing papers by Richard S. Varga
This network shows the impact of papers produced by Richard S. Varga. 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 Richard S. Varga. The network helps show where Richard S. Varga may publish in the future.
Co-authorship network of co-authors of Richard S. Varga
This figure shows the co-authorship network connecting the top 25 collaborators of Richard S. Varga. A scholar is included among the top collaborators of Richard S. Varga 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 Richard S. Varga. Richard S. Varga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | Gersgorin-type eigenvalue inclusion theorems and their sharpness. | 12 |
| 5 | On Geršgorin-type problems and ovals of cassini. | 14 |
| 6 | Adaptive -step iterative methods for nonsymmetric systems of linear equations. | 4 |
| 7 | 13 | |
| 8 | 6 | |
| 9 | 41 | |
| 10 | 6 | |
| 11 | 2 | |
| 12 | 14 | |
| 13 | 97 | |
| 14 | The Role of Interpolation and Approximation Theory in Variational and Projectional Methods for Solving Partial Differential Equations. | 3 |
| 15 | 11 | |
| 16 | 18 | |
| 17 | 28 | |
| 18 | 11 | |
| 19 | 13 | |
| 20 | 11 |
About Richard S. Varga
Richard S. Varga is a scholar working on Numerical Analysis, Algebra and Number Theory and Computational Theory and Mathematics, having authored 115 papers that have together received 9.2k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (42 papers), Mathematical functions and polynomials (20 papers) and Advanced Optimization Algorithms Research (18 papers). The work is most often cited by research in Numerical Analysis (3.6k citations), Computational Theory and Mathematics (4.7k citations) and Computational Mathematics (116 citations). Richard S. Varga has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include James H. Bramble, Gene H. Golub, Garrett Birkhoff, George Csordás, J. Gillis, Blair Swartz, Edward B. Saff, Walter Gautschi, Reinhard Nabben and Joseph E. Warren. Their work appears in journals such as Physics Today, Mathematics of Computation and Journal of the ACM.
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.