Gerald Moore

965 citations
24 papers · 618 · h-index 13

Impact in

Papers in

Gerald Moore

24 papers receiving 531 citations

Peers

Gerald Moore
Comparison fields: 5 of 86
  • Numerical Analysis 222
  • Statistical and Nonlinear Physics 107
  • Modeling and Simulation 40
  • Computational Mechanics 172
  • Computational Theory and Mathematics 123
Replace J. E. Rubio with:
J. E. Rubio United Kingdom
Kurt Lust Belgium
Elias Jarlebring Belgium
Vimal Singh Türkiye
Caren Tischendorf Germany
Michal Křı́žek Czechia
S. W. Ellacott United Kingdom
Joachim Stöckler Germany
Peter Giesl United Kingdom
Riaz A. Usmani Canada
Gerald Moore relative to J. E. Rubio United Kingdom J. E. Rubio's profile →
Citations per field
00.5×10×12.5×
J. E. Rubio · 1×
Citations per year

Countries citing papers authored by Gerald Moore

Since Specialization
Citations

This map shows the geographic impact of Gerald Moore'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 Gerald Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerald Moore more than expected).

Fields of papers citing papers by Gerald Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerald Moore. 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 Gerald Moore. The network helps show where Gerald Moore may publish in the future.

Co-authors

The 24 scholars most cited alongside Gerald Moore, 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 Gerald Moore Line = papers co-authored together Gerald Moore links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980222
2 201157
3 198041
4 199538
5 200538
6 200132
7 202132
8 199521
9 199519
10 199617
11 199416
12 199716
13 201015
14
Numerical Solution of Singular Two Point BVPs 1
20099
15 19999
16 19817
17 19886
18 20035
19 19875
20 19955

About Gerald Moore

Gerald Moore is a scholar working on Numerical Analysis, Computational Mechanics, Statistical and Nonlinear Physics, Computational Theory and Mathematics and Molecular Biology, having authored 24 papers that have together received 618 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (8 papers), Numerical methods for differential equations (7 papers), Matrix Theory and Algorithms (6 papers), Differential Equations and Numerical Methods (4 papers), Quantum chaos and dynamical systems (4 papers), Spacecraft Dynamics and Control (2 papers), Nonlinear Dynamics and Pattern Formation (2 papers) and Scientific Research and Discoveries (2 papers). The work is most often cited by research in Numerical Analysis (222 citations), Statistical and Nonlinear Physics (107 citations), Modeling and Simulation (40 citations), Computational Mechanics (172 citations) and Computational Theory and Mathematics (123 citations). Gerald Moore has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include A. Spence, J. R. Cash, R.W. Wright, Kristin P. Bennett, Jed Zaretzki, Curt M. Breneman, Robert D. Russell, Rebecca Wright, Lixin Liu and John W. Barrett. Their work appears in journals such as IMA Journal of Numerical Analysis, SIAM Journal on Numerical Analysis, Mathematics of Computation, ACM Transactions on Mathematical Software and Numerische Mathematik.

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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