John D. Pryce

2.5k citations
88 papers · 1.9k · h-index 21

Impact in

Papers in

John D. Pryce

83 papers receiving 1.7k citations

Peers

John D. Pryce
Comparison fields: 5 of 153
  • Numerical Analysis 601
  • Computational Theory and Mathematics 709
  • Mathematical Physics 355
  • Applied Mathematics 202
  • Statistical and Nonlinear Physics 239
Replace Robert Anderssen with:
Robert Anderssen Australia
Ridgway Scott United States
Harold Victor Henderson New Zealand
Mustafa Bayram Türkiye
Ralph E. Byers United States
Om P. Agrawal United States
Pei Yu Canada
Moody T. Chu United States
G. M. Phillips United Kingdom
Lishan Liu China
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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 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1969253
2
Numerical Solution of Sturm-Liouville Problems
1994235
3 1987137
4 2001100
5 200197
6 197074
7 196062
8 195962
9 200558
10
Solving differential algebraic equations by Taylor Series(III): the DAETS Code
200855
11 199255
12 199853
13 197143
14 198537
15 200629
16 199926
17 196624
18
Basic methods of linear functional analysis
197323
19
Normal concentrations of lactate, glucose, and protein in cerebrospinal fluid, and the diagnotic implications of abnormal concentrations.
197021
20 199121

About John D. Pryce

John D. Pryce is a scholar working on Numerical Analysis, Computational Theory and Mathematics, Mathematical Physics, Control and Systems Engineering and Statistical and Nonlinear Physics, having authored 88 papers that have together received 1.9k indexed citations. Recurring topics across this work include Numerical methods for differential equations (24 papers), Modeling and Simulation Systems (19 papers), Numerical Methods and Algorithms (13 papers), Matrix Theory and Algorithms (10 papers), Control and Stability of Dynamical Systems (8 papers), Spectral Theory in Mathematical Physics (8 papers), Real-time simulation and control systems (7 papers) and Polynomial and algebraic computation (6 papers). The work is most often cited by research in Numerical Analysis (601 citations), Computational Theory and Mathematics (709 citations), Mathematical Physics (355 citations), Applied Mathematics (202 citations) and Statistical and Nonlinear Physics (239 citations). John D. Pryce has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Nedialko S. Nedialkov, Wayne H. Enright, Marco Marletta, Kenneth R. Jackson, H M Rubinstein, Willy J. F. Govaerts, John F. R. Duncan, Shaun A. Forth, P. W. GANT and George F. Corliss. Their work appears in journals such as ACM Transactions on Mathematical Software, BIT Numerical Mathematics, The Analyst, Journal of Computational and Applied Mathematics 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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