Peter K. Moore
- Internal Medicine top 2%
- Infectious Diseases top 2%
- COVID-19 Clinical Research Studies 6
- Numerical Analysis top 5%
- Numerical methods for differential equations 17
- Differential Equations and Numerical Methods 6
- Neurology top 5%
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- Advanced Numerical Methods in Computational Mathematics 23
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- Electromagnetic Simulation and Numerical Methods 8
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- Numerical methods in engineering 8
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- Cardiac electrophysiology and arrhythmias 6
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- Neuroscience and Neural Engineering 5
- Co-authors
- Ernest E. MooreHunter B. MooreRobert C. McIntyreP WallaceZ. GaffenStephen L. HartR.C. BabbedgeRaymond K. Hsu
- Journals
- Applied Numerical Mathematics (5 papers)British Journal of Pharmacology (5 papers)SIAM Journal on Numerical Analysis (3 papers)
- Partner nations
- United StatesUnited KingdomMexico
In The Last Decade
Peter K. Moore
69 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Internal Medicine 200
- Infectious Diseases 676
- Numerical Analysis 172
- Endocrine and Autonomic Systems 176
- Neurology 383
Countries citing papers authored by Peter K. Moore
This map shows the geographic impact of Peter K. 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 Peter K. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter K. Moore more than expected).
Fields of papers citing papers by Peter K. Moore
This network shows the impact of papers produced by Peter K. 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 Peter K. Moore. The network helps show where Peter K. Moore may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter K. Moore, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 10 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 24 | |
| 7 | 2020 | 68 | |
| 8 | 2020 | 277 | |
| 9 | 2020 | 30 | |
| 10 | Tissue plasminogen activator (tPA) treatment for COVID‐19 associated acute respiratory distress syndrome (ARDS): A case seriesbreakdown → | 2020 | 395 |
| 11 | 2019 | 1 | |
| 12 | 2018 | 201 | |
| 13 | 2006 | 15 | |
| 14 | An artificial neural network for analysing the survival of patients with colorectal cancer. | 2005 | 4 |
| 15 | 2003 | 48 | |
| 16 | 2000 | 61 | |
| 17 | 1999 | 59 | |
| 18 | 1998 | 39 | |
| 19 | 1998 | 7 | |
| 20 | 1990 | 178 |
About Peter K. Moore
Peter K. Moore is a scholar working on Numerical Analysis, Computational Mechanics and Critical Care and Intensive Care Medicine, having authored 73 papers that have together received 2.5k indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (23 papers), Numerical methods for differential equations (17 papers), Electromagnetic Simulation and Numerical Methods (8 papers), Numerical methods in engineering (8 papers), COVID-19 Clinical Research Studies (6 papers), Cardiac electrophysiology and arrhythmias (6 papers), Differential Equations and Numerical Methods (6 papers) and Neuroscience and Neural Engineering (5 papers). The work is most often cited by research in Internal Medicine (200 citations), Infectious Diseases (676 citations) and Numerical Analysis (172 citations). Peter K. Moore has collaborated with scholars based in United States, United Kingdom and Mexico. Frequent co-authors include Ernest E. Moore, Hunter B. Moore, Robert C. McIntyre, P Wallace, Z. Gaffen, Stephen L. Hart, R.C. Babbedge, Raymond K. Hsu, Kathleen D. Liu and Michael B. Yaffe. Their work appears in journals such as Applied Numerical Mathematics, British Journal of Pharmacology, SIAM Journal on Numerical Analysis, Journal of Computational Physics 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.