Richard A. Moore
- Applied Mathematics top 2%
- Numerical Analysis top 5%
- Computational Theory and Mathematics top 10%
- Mathematical Physics top 10%
- Organic Chemistry
- Co-authors
- Zeev NehariRobert LevineLawrence MarkusP. MagnusJing XuErin PleasanceHoward J. LimIan Bosdet
- Topics
- Differential Equations and Numerical Methods (4 papers)Numerical methods for differential equations (3 papers)Nonlinear Differential Equations Analysis (2 papers)
- Journals
- The Journal of Organic ChemistryTransactions of the American Mathematical SocietyBriefings in Bioinformatics
- Partner nations
- CanadaUnited States
In The Last Decade
Richard A. Moore
10 papers receiving 196 citations
Peers
Comparison fields: 5 of 45
- Applied Mathematics 209
- Numerical Analysis 151
- Computational Theory and Mathematics 73
- Mathematical Physics 57
- Organic Chemistry 33
Countries citing papers authored by Richard A. Moore
This map shows the geographic impact of Richard A. 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 Richard A. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard A. Moore more than expected).
Fields of papers citing papers by Richard A. Moore
This network shows the impact of papers produced by Richard A. 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 Richard A. Moore. The network helps show where Richard A. Moore may publish in the future.
Co-authorship network of co-authors of Richard A. Moore
This figure shows the co-authorship network connecting the top 25 collaborators of Richard A. Moore. A scholar is included among the top collaborators of Richard A. Moore 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 Richard A. Moore. Richard A. Moore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | Escaping the Matrix: How We the People can change the world | 1 |
| 5 | 5 | |
| 6 | 10 | |
| 7 | 29 | |
| 8 | Introduction to Differential Equations | 0 |
| 9 | 48 | |
| 10 | 103 | |
| 11 | 21 | |
| 12 | 14 | |
| 13 | 84 |
About Richard A. Moore
Richard A. Moore is a scholar working on Numerical Analysis, Applied Mathematics and Cancer Research, having authored 13 papers that have together received 317 indexed citations. Recurring topics across this work include Differential Equations and Numerical Methods (4 papers), Numerical methods for differential equations (3 papers) and Nonlinear Differential Equations Analysis (2 papers). The work is most often cited by research in Numerical Analysis (151 citations), Applied Mathematics (209 citations) and Mathematical Physics (57 citations). Richard A. Moore has collaborated with scholars based in Canada and United States. Frequent co-authors include Zeev Nehari, Robert Levine, Lawrence Markus, P. Magnus, Jing Xu, Erin Pleasance, Howard J. Lim, Ian Bosdet, Tracy Tucker and Andrew J. Mungall. Their work appears in journals such as The Journal of Organic Chemistry, Transactions of the American Mathematical Society and Briefings in Bioinformatics.
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.