P.J. Prince
Impact in
- Numerical Analysis top 0.5%
- Numerical methods for differential equations
- Differential Equations and Numerical Methods
-
- Model Reduction and Neural Networks
Papers in
-
- Numerical methods for differential equations 15
- Iterative Methods for Nonlinear Equations 1
-
- Electromagnetic Simulation and Numerical Methods 9
- Co-authors
- John R. Dormand (15 shared papers)Moawwad El-Mikkawy (2 shared papers)I. Gladwell (1 shared paper)
- Journals
- IMA Journal of Numerical Analysis (4 papers)Computers & Mathematics with Applications (3 papers)Journal of Computational and Applied Mathematics (3 papers)Applied Numerical Mathematics (2 papers)ACM Transactions on Mathematical Software (2 papers)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
P.J. Prince
17 papers receiving 3.4k citations
P.J. Prince's Hit Papers
Peers
Comparison fields: 5 of 164
- Numerical Analysis 1.3k
- Statistical and Nonlinear Physics 540
- Computational Mechanics 900
- Computational Theory and Mathematics 520
- Modeling and Simulation 140
Countries citing papers authored by P.J. Prince
This map shows the geographic impact of P.J. Prince'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 P.J. Prince with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P.J. Prince more than expected).
Fields of papers citing papers by P.J. Prince
This network shows the impact of papers produced by P.J. Prince. 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 P.J. Prince. The network helps show where P.J. Prince may publish in the future.
Co-authors
The 3 scholars most cited alongside P.J. Prince, 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 | A family of embedded Runge-Kutta formulae Hit paper breakdown → | 1980 | 2484 |
| 2 | 1981 | 373 | |
| 3 | 1987 | 253 | |
| 4 | 1987 | 145 | |
| 5 | 1986 | 81 | |
| 6 | 1978 | 76 | |
| 7 | 1986 | 59 | |
| 8 | 1989 | 43 | |
| 9 | 1989 | 39 | |
| 10 | 1989 | 37 | |
| 11 | 1987 | 34 | |
| 12 | 1984 | 24 | |
| 13 | 1996 | 13 | |
| 14 | 1985 | 11 | |
| 15 | 1975 | 10 | |
| 16 | 1999 | 3 | |
| 17 | 1978 | 3 | |
| 18 | Co -creating Cinderella: Examining and documenting a collaboratory musical theatre process | 2009 | 1 |
| 19 | 2020 | 0 |
About P.J. Prince
P.J. Prince is a scholar working on Numerical Analysis, Electrical and Electronic Engineering, Computational Mechanics, Computational Theory and Mathematics and Statistical and Nonlinear Physics, having authored 19 papers that have together received 3.7k indexed citations. Recurring topics across this work include Numerical methods for differential equations (15 papers), Electromagnetic Simulation and Numerical Methods (9 papers), Advanced Numerical Methods in Computational Mathematics (6 papers), Matrix Theory and Algorithms (3 papers), Model Reduction and Neural Networks (3 papers), Magnetic confinement fusion research (2 papers), Numerical Methods and Algorithms (2 papers) and Iterative Methods for Nonlinear Equations (1 paper). The work is most often cited by research in Numerical Analysis (1.3k citations), Statistical and Nonlinear Physics (540 citations), Computational Mechanics (900 citations), Computational Theory and Mathematics (520 citations) and Modeling and Simulation (140 citations). P.J. Prince has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include John R. Dormand, Moawwad El-Mikkawy and I. Gladwell. Their work appears in journals such as IMA Journal of Numerical Analysis, Computers & Mathematics with Applications, Journal of Computational and Applied Mathematics, Applied Numerical Mathematics and ACM Transactions on Mathematical Software.
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.