Matthew Poole
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Otorhinolaryngology top 10%
- Head and Neck Cancer Studies
Papers in
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- Logic, programming, and type systems 2
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- Teaching and Learning Programming 3
- Co-authors
- Muss Hb (1 shared paper)Frederick Richards (1 shared paper)Cooper Mr (1 shared paper)Capizzi Rl (1 shared paper)Spurr Cl (1 shared paper)Duane D. Miller (1 shared paper)Wayne M. Koch (1 shared paper)David Lee (1 shared paper)
- Journals
- Communications in Nonlinear Science and Numerical Simulation (1 paper)JAMA Cardiology (1 paper)Equine Veterinary Journal (1 paper)IEEE/ACM Transactions on Computational Biology and Bioinformatics (1 paper)Software Practice and Experience (1 paper)
- Partner nations
- United KingdomUnited StatesNew Zealand
In The Last Decade
Matthew Poole
16 papers receiving 477 citations
Peers
Comparison fields: 5 of 91
- Hematology 109
- Otorhinolaryngology 37
- Computer Science Applications 47
- Public Health, Environmental and Occupational Health 100
- Oncology 76
Countries citing papers authored by Matthew Poole
This map shows the geographic impact of Matthew Poole'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 Matthew Poole with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Poole more than expected).
Fields of papers citing papers by Matthew Poole
This network shows the impact of papers produced by Matthew Poole. 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 Matthew Poole. The network helps show where Matthew Poole may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Poole, 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 | 1984 | 159 | |
| 2 | 1995 | 55 | |
| 3 | 2021 | 54 | |
| 4 | 2009 | 51 | |
| 5 | 2019 | 50 | |
| 6 | 2011 | 41 | |
| 7 | 2009 | 33 | |
| 8 | 2010 | 22 | |
| 9 | 2010 | 22 | |
| 10 | 2017 | 5 | |
| 11 | 2017 | 5 | |
| 12 | 2019 | 3 | |
| 13 | 2019 | 3 | |
| 14 | 2015 | 2 | |
| 15 | 2014 | 1 | |
| 16 | 1971 | 1 |
About Matthew Poole
Matthew Poole is a scholar working on Artificial Intelligence, Computer Science Applications, Hardware and Architecture, Computational Theory and Mathematics and Small Animals, having authored 16 papers that have together received 507 indexed citations. Recurring topics across this work include Teaching and Learning Programming (3 papers), Embedded Systems Design Techniques (2 papers), Logic, programming, and type systems (2 papers), Iterative Methods for Nonlinear Equations (1 paper), Genetic and Environmental Crop Studies (1 paper), Head and Neck Cancer Studies (1 paper), Fatty Acid Research and Health (1 paper) and Coccidia and coccidiosis research (1 paper). The work is most often cited by research in Hematology (109 citations), Otorhinolaryngology (37 citations), Computer Science Applications (47 citations), Public Health, Environmental and Occupational Health (100 citations) and Oncology (76 citations). Matthew Poole has collaborated with scholars based in United Kingdom, United States and New Zealand. Frequent co-authors include Muss Hb, Frederick Richards, Cooper Mr, Capizzi Rl, Spurr Cl, Duane D. Miller, Wayne M. Koch, David Lee, Arlene A. Forastiere and David W. Eisele. Their work appears in journals such as Communications in Nonlinear Science and Numerical Simulation, JAMA Cardiology, Equine Veterinary Journal, IEEE/ACM Transactions on Computational Biology and Bioinformatics and Software Practice and Experience.
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.