John Locker
Impact in
- Mathematical Physics top 5%
- Spectral Theory in Mathematical Physics
- Numerical methods in inverse problems
- Numerical Analysis top 5%
- Differential Equations and Numerical Methods
Papers in
-
- Spectral Theory in Mathematical Physics 15
- Numerical methods in inverse problems 10
-
- Advanced Mathematical Modeling in Engineering 13
- Matrix Theory and Algorithms 9
- Co-authors
- Patrick Lang (7 shared papers)P. M. Prenter (4 shared papers)R. Kannan (4 shared papers)D. R. Dunninger (1 shared paper)Klaus Böhmer (2 shared papers)
- Journals
- Transactions of the American Mathematical Society (8 papers)Journal of Mathematical Analysis and Applications (6 papers)Journal of Differential Equations (4 papers)Journal of Functional Analysis (3 papers)SIAM Journal on Numerical Analysis (2 papers)
- Partner nations
- United States
In The Last Decade
John Locker
35 papers receiving 331 citations
Peers
Comparison fields: 5 of 47
- Mathematical Physics 283
- Numerical Analysis 131
- Applied Mathematics 212
- Computational Theory and Mathematics 250
- Algebra and Number Theory 24
Countries citing papers authored by John Locker
This map shows the geographic impact of John Locker'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 Locker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Locker more than expected).
Fields of papers citing papers by John Locker
This network shows the impact of papers produced by John Locker. 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 Locker. The network helps show where John Locker may publish in the future.
Co-authors
The 5 scholars most cited alongside John Locker, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 71 | |
| 2 | 1980 | 52 | |
| 3 | 1973 | 43 | |
| 4 | 1975 | 33 | |
| 5 | 1990 | 32 | |
| 6 | 1967 | 23 | |
| 7 | 1989 | 23 | |
| 8 | 1977 | 23 | |
| 9 | 2008 | 21 | |
| 10 | Functional analysis and two-point differential operators | 1986 | 19 |
| 11 | 1970 | 13 | |
| 12 | 1988 | 12 | |
| 13 | 1980 | 12 | |
| 14 | 1989 | 11 | |
| 15 | 1988 | 9 | |
| 16 | 1975 | 9 | |
| 17 | 1978 | 8 | |
| 18 | 1992 | 7 | |
| 19 | 1977 | 7 | |
| 20 | 1994 | 6 |
About John Locker
John Locker is a scholar working on Mathematical Physics, Computational Theory and Mathematics, Applied Mathematics, Numerical Analysis and Computational Mechanics, having authored 39 papers that have together received 491 indexed citations. Recurring topics across this work include Spectral Theory in Mathematical Physics (15 papers), Differential Equations and Boundary Problems (14 papers), Advanced Mathematical Modeling in Engineering (13 papers), Differential Equations and Numerical Methods (10 papers), Numerical methods in inverse problems (10 papers), Numerical methods for differential equations (9 papers), Matrix Theory and Algorithms (9 papers) and Physics and Engineering Research Articles (4 papers). The work is most often cited by research in Mathematical Physics (283 citations), Numerical Analysis (131 citations), Applied Mathematics (212 citations), Computational Theory and Mathematics (250 citations) and Algebra and Number Theory (24 citations). John Locker has collaborated with scholars based in United States. Frequent co-authors include Patrick Lang, P. M. Prenter, R. Kannan, D. R. Dunninger and Klaus Böhmer. Their work appears in journals such as Transactions of the American Mathematical Society, Journal of Mathematical Analysis and Applications, Journal of Differential Equations, Journal of Functional Analysis and SIAM Journal on Numerical Analysis.
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.