John D. Pryce

2.5k citations
79 papers · 1.7k · h-index 20

Impact in

Papers in

John D. Pryce

73 papers receiving 1.5k citations

Peers

John D. Pryce
Comparison fields: 5 of 158
  • Numerical Analysis 554
  • Computational Theory and Mathematics 631
  • Mathematical Physics 335
  • Applied Mathematics 193
  • Statistical and Nonlinear Physics 221
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Robert Anderssen Australia
Ridgway Scott United States
Mustafa Bayram Türkiye
Ralph Byers United States
Om P. Agrawal United States
Pei Yu Canada
Lishan Liu China
G. M. Phillips United Kingdom
Anwar Zeb Pakistan
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Citations per year

Countries citing papers authored by John D. Pryce

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside John D. Pryce, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John D. Pryce Line = papers co-authored together John D. Pryce links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1969244
2
Numerical Solution of Sturm-Liouville Problems
1994223
3 1987131
4 200192
5 200192
6 197072
7 195963
8 196062
9
Solving differential algebraic equations by Taylor Series(III): the DAETS Code
200855
10 199254
11 200552
12 199848
13 197138
14 198532
15 200624
16
Basic methods of linear functional analysis
197323
17 199923
18 196620
19 199120
20
Normal concentrations of lactate, glucose, and protein in cerebrospinal fluid, and the diagnotic implications of abnormal concentrations.
197020

About John D. Pryce

John D. Pryce is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Control and Systems Engineering, Mathematical Physics and Molecular Biology, 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), Matrix Theory and Algorithms (9 papers), Numerical Methods and Algorithms (8 papers), Spectral Theory in Mathematical Physics (8 papers), Control and Stability of Dynamical Systems (7 papers), Real-time simulation and control systems (4 papers) and Quantum chaos and dynamical systems (4 papers). The work is most often cited by research in Numerical Analysis (554 citations), Computational Theory and Mathematics (631 citations), Mathematical Physics (335 citations), Applied Mathematics (193 citations) and Statistical and Nonlinear Physics (221 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 ACM Transactions on Mathematical Software, BIT Numerical Mathematics, The Analyst, Proceedings of the Edinburgh Mathematical Society and The Quarterly Journal of Mathematics.

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.

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