Lee W. Johnson
Impact in
- Numerical Analysis top 10%
- Advanced Optimization Algorithms Research
- Iterative Methods for Nonlinear Equations
- Numerical methods for differential equations
- Differential Equations and Numerical Methods
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- Matrix Theory and Algorithms
Papers in
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- Approximation Theory and Sequence Spaces 4
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- Matrix Theory and Algorithms 1
- Graph Labeling and Dimension Problems 1
- Co-authors
- Jimmy T. Arnold (1 shared paper)W. Köhler (2 shared papers)Elizabeth V. Minten (1 shared paper)Slavik Jablan (1 shared paper)Ezra Brown (1 shared paper)
- Journals
- Numerische Mathematik (1 paper)Israel Journal of Mathematics (1 paper)Mathematics of Computation (1 paper)Aequationes Mathematicae (1 paper)Mathematische Zeitschrift (1 paper)
- Partner nations
- United StatesSerbia
In The Last Decade
Lee W. Johnson
11 papers receiving 283 citations
Peers
Comparison fields: 5 of 103
- Numerical Analysis 48
- Computational Theory and Mathematics 48
- Statistics and Probability 22
- Computational Mechanics 42
- Applied Mathematics 21
Countries citing papers authored by Lee W. Johnson
This map shows the geographic impact of Lee W. Johnson'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 Lee W. Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lee W. Johnson more than expected).
Fields of papers citing papers by Lee W. Johnson
This network shows the impact of papers produced by Lee W. Johnson. 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 Lee W. Johnson. The network helps show where Lee W. Johnson may publish in the future.
Co-authors
The 5 scholars most cited alongside Lee W. Johnson, 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 | Numerical analysis | 1977 | 207 |
| 2 | Introduction to Linear Algebra | 1989 | 53 |
| 3 | Elementary Differential Equations | 2002 | 15 |
| 4 | 2013 | 10 | |
| 5 | Elementary Differential Equations with Boundary Value Problems | 2003 | 9 |
| 6 | 1969 | 8 | |
| 7 | 1968 | 6 | |
| 8 | 1973 | 4 | |
| 9 | 1970 | 3 | |
| 10 | 1970 | 2 | |
| 11 | Introduction to linear algebra / Lee W. Johnson, R. Dean Riess, Jimmy T. Arnold | 1993 | 1 |
| 12 | 1972 | 1 | |
| 13 | 1975 | 0 |
About Lee W. Johnson
Lee W. Johnson is a scholar working on Statistics and Probability, Computational Theory and Mathematics, Mathematical Physics, Applied Mathematics and Numerical Analysis, having authored 13 papers that have together received 319 indexed citations. Recurring topics across this work include Approximation Theory and Sequence Spaces (4 papers), Mathematical functions and polynomials (2 papers), Logic, programming, and type systems (1 paper), Electromagnetic Scattering and Analysis (1 paper), Matrix Theory and Algorithms (1 paper), Advanced Data Compression Techniques (1 paper), Advanced Numerical Analysis Techniques (1 paper) and Graph Labeling and Dimension Problems (1 paper). The work is most often cited by research in Numerical Analysis (48 citations), Computational Theory and Mathematics (48 citations), Statistics and Probability (22 citations), Computational Mechanics (42 citations) and Applied Mathematics (21 citations). Lee W. Johnson has collaborated with scholars based in United States and Serbia. Frequent co-authors include Jimmy T. Arnold, W. Köhler, Elizabeth V. Minten, Slavik Jablan and Ezra Brown. Their work appears in journals such as Numerische Mathematik, Israel Journal of Mathematics, Mathematics of Computation, Aequationes Mathematicae and Mathematische Zeitschrift.
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.