John D. Pryce
- Computational Theory and Mathematics top 0.5%
- Numerical Analysis top 1%
- Mathematical Physics top 2%
- Control and Systems Engineering top 5%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Nedialko S. NedialkovW. H. EnrightMarco MarlettaH M RubinsteinKenneth R. JacksonW. GovaertsJohn F. R. DuncanP. W. GANT
- Topics
- Numerical methods for differential equations (21 papers)Modeling and Simulation Systems (17 papers)Matrix Theory and Algorithms (9 papers)
- Partner nations
- United KingdomCanadaUnited States
In The Last Decade
John D. Pryce
73 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 158
- Computational Theory and Mathematics 631
- Numerical Analysis 554
- Mathematical Physics 335
- Control and Systems Engineering 246
- Statistical and Nonlinear Physics 221
Countries citing papers authored by John D. Pryce
This map shows the geographic impact of John D. Pryce'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 D. Pryce with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John D. Pryce more than expected).
Fields of papers citing papers by John D. Pryce
This network shows the impact of papers produced by John D. Pryce. 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 D. Pryce. The network helps show where John D. Pryce may publish in the future.
Co-authorship network of co-authors of John D. Pryce
This figure shows the co-authorship network connecting the top 25 collaborators of John D. Pryce. A scholar is included among the top collaborators of John D. Pryce based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John D. Pryce. John D. Pryce is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 6 | |
| 3 | 9 | |
| 4 | 1 | |
| 5 | 48 | |
| 6 | 3 | |
| 7 | 54 | |
| 8 | 9 | |
| 9 | 20 | |
| 10 | 8 | |
| 11 | 16 | |
| 12 | 14 | |
| 13 | Quality control of measurements of pH, carbon dioxide tension, and total carbon dioxide in plasma. | 5 |
| 14 | Basic methods of linear functional analysis | 23 |
| 15 | 0 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | 20 | |
| 19 | 2 | |
| 20 | 62 |
About John D. Pryce
John D. Pryce is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Mathematical Physics, having authored 79 papers that have together received 1.7k indexed citations. Recurring topics across this work include Numerical methods for differential equations (21 papers), Modeling and Simulation Systems (17 papers) and Matrix Theory and Algorithms (9 papers). The work is most often cited by research in Numerical Analysis (554 citations), Computational Theory and Mathematics (631 citations) and Mathematical Physics (335 citations). John D. Pryce has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Nedialko S. Nedialkov, W. H. Enright, Marco Marletta, H M Rubinstein, Kenneth R. Jackson, W. Govaerts, John F. R. Duncan, P. W. GANT, George F. Corliss and B. M. Brown. Their work appears in journals such as The Lancet, JAMA and Journal of Computational Physics.
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.