John Paine
Impact in
- Mathematical Physics top 5%
- Spectral Theory in Mathematical Physics
- Numerical methods in inverse problems
- Numerical Analysis top 10%
- Numerical methods for differential equations
Papers in
-
- Spectral Theory in Mathematical Physics 8
- Numerical methods in inverse problems 3
-
- Geophysical and Geoelectrical Methods 7
- Co-authors
- Alan Andrew (3 shared papers)Robert Anderssen (2 shared papers)F. R. de Hoog (1 shared paper)Peter K. Fullagar (3 shared papers)Frank de Hoog (1 shared paper)Robert D. Russell (1 shared paper)Guido Ventura (1 shared paper)Fabio Speranza (1 shared paper)
- Journals
- Exploration Geophysics (3 papers)Geophysical Journal International (2 papers)Numerische Mathematik (2 papers)SIAM Journal on Numerical Analysis (1 paper)Journal of Mathematical Analysis and Applications (1 paper)
- Partner nations
- AustraliaUnited StatesGermany
In The Last Decade
John Paine
17 papers receiving 378 citations
Peers
Comparison fields: 5 of 45
- Mathematical Physics 247
- Numerical Analysis 88
- Computational Theory and Mathematics 187
- Geophysics 90
- Statistical and Nonlinear Physics 84
Countries citing papers authored by John Paine
This map shows the geographic impact of John Paine'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 Paine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Paine more than expected).
Fields of papers citing papers by John Paine
This network shows the impact of papers produced by John Paine. 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 Paine. The network helps show where John Paine may publish in the future.
Co-authors
The 11 scholars most cited alongside John Paine, 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 | 1981 | 100 | |
| 2 | 1985 | 71 | |
| 3 | 1986 | 49 | |
| 4 | 1984 | 48 | |
| 5 | 2000 | 41 | |
| 6 | 2001 | 31 | |
| 7 | 1980 | 19 | |
| 8 | 1986 | 13 | |
| 9 | 1986 | 9 | |
| 10 | 1980 | 8 | |
| 11 | 1983 | 7 | |
| 12 | 1980 | 5 | |
| 13 | 1982 | 5 | |
| 14 | 2006 | 5 | |
| 15 | 2001 | 3 | |
| 16 | 2001 | 2 | |
| 17 | 2015 | 2 |
About John Paine
John Paine is a scholar working on Mathematical Physics, Geophysics, Computational Theory and Mathematics, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 17 papers that have together received 418 indexed citations. Recurring topics across this work include Spectral Theory in Mathematical Physics (8 papers), Geophysical and Geoelectrical Methods (7 papers), Quantum chaos and dynamical systems (4 papers), Advanced Mathematical Modeling in Engineering (3 papers), Numerical methods in inverse problems (3 papers), Matrix Theory and Algorithms (3 papers), Geochemistry and Geologic Mapping (3 papers) and Geomagnetism and Paleomagnetism Studies (2 papers). The work is most often cited by research in Mathematical Physics (247 citations), Numerical Analysis (88 citations), Computational Theory and Mathematics (187 citations), Geophysics (90 citations) and Statistical and Nonlinear Physics (84 citations). John Paine has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Alan Andrew, Robert Anderssen, F. R. de Hoog, Peter K. Fullagar, Frank de Hoog, Robert D. Russell, Guido Ventura, Fabio Speranza, M. Chiappini and Riccardo De Ritis. Their work appears in journals such as Exploration Geophysics, Geophysical Journal International, Numerische Mathematik, SIAM Journal on Numerical Analysis and Journal of Mathematical Analysis and Applications.
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.