James S. Vandergraft
- Numerical Analysis top 5%
- Advanced Optimization Algorithms Research 5
- Iterative Methods for Nonlinear Equations 4
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- Matrix Theory and Algorithms 11
- Geometry and Topology top 5%
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- Advanced Topics in Algebra 1
- Applied Mathematics top 5%
- Functional Equations Stability Results 1
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- Target Tracking and Data Fusion in Sensor Networks 2
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- Control Systems and Identification 2
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- Sparse and Compressive Sensing Techniques 1
- Co-authors
- Ernst Albin HansenWerner C. RheinboldtDianne P. O’LearyG. W. StewartDavid W. PorterG. BiermanC. K. Mesztenyi
- Journals
- Mathematics of Computation (6 papers)SIAM Journal on Numerical Analysis (3 papers)SIAM Journal on Applied Mathematics (2 papers)
- Partner nations
- United States
In The Last Decade
James S. Vandergraft
21 papers receiving 576 citations
Peers
Comparison fields: 5 of 79
- Numerical Analysis 174
- Computational Theory and Mathematics 339
- Geometry and Topology 113
- Algebra and Number Theory 55
- Applied Mathematics 73
Countries citing papers authored by James S. Vandergraft
This map shows the geographic impact of James S. Vandergraft'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 James S. Vandergraft with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James S. Vandergraft more than expected).
Fields of papers citing papers by James S. Vandergraft
This network shows the impact of papers produced by James S. Vandergraft. 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 James S. Vandergraft. The network helps show where James S. Vandergraft may publish in the future.
Co-authorship network
The 7 scholars most cited alongside James S. Vandergraft, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 30 | |
| 2 | 1989 | 3 | |
| 3 | 1985 | 3 | |
| 4 | 1983 | 17 | |
| 5 | 1983 | 58 | |
| 6 | 1979 | 15 | |
| 7 | 1979 | 24 | |
| 8 | Introduction to numerical computations | 1978 | 43 |
| 9 | 1976 | 7 | |
| 10 | 1975 | 16 | |
| 11 | 1974 | 9 | |
| 12 | 1973 | 7 | |
| 13 | 1973 | 58 | |
| 14 | 1972 | 27 | |
| 15 | 1971 | 9 | |
| 16 | 1970 | 109 | |
| 17 | 1969 | 2 | |
| 18 | 1968 | 127 | |
| 19 | Partially ordered spaces and Newton's method for convex operators | 1966 | 2 |
| 20 | 1961 | 1 |
About James S. Vandergraft
James S. Vandergraft is a scholar working on Computational Mathematics, Numerical Analysis and Computational Theory and Mathematics, having authored 21 papers that have together received 680 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (11 papers), Advanced Optimization Algorithms Research (5 papers), Iterative Methods for Nonlinear Equations (4 papers), Target Tracking and Data Fusion in Sensor Networks (2 papers), Control Systems and Identification (2 papers), Functional Equations Stability Results (1 paper), Sparse and Compressive Sensing Techniques (1 paper) and Advanced Topics in Algebra (1 paper). The work is most often cited by research in Numerical Analysis (174 citations), Computational Theory and Mathematics (339 citations) and Geometry and Topology (113 citations). James S. Vandergraft has collaborated with scholars based in United States. Frequent co-authors include Ernst Albin Hansen, Werner C. Rheinboldt, Dianne P. O’Leary, G. W. Stewart, David W. Porter, G. Bierman and C. K. Mesztenyi. Their work appears in journals such as Mathematics of Computation, SIAM Journal on Numerical Analysis, SIAM Journal on Applied Mathematics, Linear Algebra and its Applications and Communications 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.