John Lund
Impact in
- Numerical Analysis top 2%
- Differential Equations and Numerical Methods
- Numerical methods for differential equations
- Iterative Methods for Nonlinear Equations
- Modeling and Simulation top 1%
- Fractional Differential Equations Solutions
Papers in
-
- Numerical methods for differential equations 8
- Differential Equations and Numerical Methods 6
- Iterative Methods for Nonlinear Equations 5
-
- Matrix Theory and Algorithms 11
- Co-authors
- Kenneth L. Bowers (12 shared papers)Ralph C. Smith (3 shared papers)C. R. Vogel (2 shared papers)D.S. Gilliam (5 shared papers)Jack D. Dockery (1 shared paper)Frank Stenger (1 shared paper)D. D. Ang (1 shared paper)Ragnhild Lund (2 shared papers)
- Journals
- Mathematics of Computation (6 papers)Numerische Mathematik (4 papers)Numerical Methods for Partial Differential Equations (3 papers)SIAM Journal on Numerical Analysis (2 papers)Journal of the Royal Statistical Society Series C (Applied Statistics) (2 papers)
- Partner nations
- United States
In The Last Decade
John Lund
30 papers receiving 791 citations
Peers
Comparison fields: 5 of 79
- Numerical Analysis 425
- Modeling and Simulation 289
- Mathematical Physics 186
- Applied Mathematics 167
- Computational Theory and Mathematics 200
Countries citing papers authored by John Lund
This map shows the geographic impact of John Lund'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 John Lund with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Lund more than expected).
Fields of papers citing papers by John Lund
This network shows the impact of papers produced by John Lund. 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 John Lund. The network helps show where John Lund may publish in the future.
Co-authors
The 10 scholars most cited alongside John Lund, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 343 | |
| 2 | 1991 | 58 | |
| 3 | 1986 | 45 | |
| 4 | 1987 | 35 | |
| 5 | 1986 | 34 | |
| 6 | 1997 | 32 | |
| 7 | 1990 | 31 | |
| 8 | 1989 | 30 | |
| 9 | 1984 | 26 | |
| 10 | 1987 | 26 | |
| 11 | 2000 | 24 | |
| 12 | 1992 | 24 | |
| 13 | 1983 | 19 | |
| 14 | 1990 | 17 | |
| 15 | 1987 | 16 | |
| 16 | 1989 | 16 | |
| 17 | 1987 | 13 | |
| 18 | 1990 | 12 | |
| 19 | 1989 | 12 | |
| 20 | 1989 | 11 |
About John Lund
John Lund is a scholar working on Numerical Analysis, Computational Theory and Mathematics, Applied Mathematics, Mathematical Physics and Mechanics of Materials, having authored 31 papers that have together received 861 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (11 papers), Numerical methods for differential equations (8 papers), Numerical methods in inverse problems (7 papers), Differential Equations and Numerical Methods (6 papers), Mathematical functions and polynomials (5 papers), Electromagnetic Simulation and Numerical Methods (5 papers), Advanced Numerical Methods in Computational Mathematics (5 papers) and Iterative Methods for Nonlinear Equations (5 papers). The work is most often cited by research in Numerical Analysis (425 citations), Modeling and Simulation (289 citations), Mathematical Physics (186 citations), Applied Mathematics (167 citations) and Computational Theory and Mathematics (200 citations). John Lund has collaborated with scholars based in United States. Frequent co-authors include Kenneth L. Bowers, Ralph C. Smith, C. R. Vogel, D.S. Gilliam, Jack D. Dockery, Frank Stenger, D. D. Ang, Ragnhild Lund, Donald F. Winter and Clyde F. Martin. Their work appears in journals such as Mathematics of Computation, Numerische Mathematik, Numerical Methods for Partial Differential Equations, SIAM Journal on Numerical Analysis and Journal of the Royal Statistical Society Series C (Applied Statistics).
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.