Matthew Moore
- Health Informatics top 2%
- Artificial Intelligence top 5%
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- Gastric Cancer Management and Outcomes 4
- Lung Cancer Diagnosis and Treatment 3
- Pleural and Pulmonary Diseases 3
- Toxicology top 10%
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- Electrospun Nanofibers in Biomedical Applications 4
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- semigroups and automata theory 3
- Advanced Algebra and Logic 3
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- Cardiac and Coronary Surgery Techniques 3
- Tissue Engineering and Regenerative Medicine 2
- Co-authors
- A. NarayananCandace GunnarssonSteven SwansonJohn A. HowingtonDaniel MillerRobert J. McKennaMichael A. MaddausBryan F. Meyers
- Journals
- Advanced Healthcare Materials (2 papers)Materials Today Advances (2 papers)ACS Biomaterials Science & Engineering (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Matthew Moore
35 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Health Informatics 80
- Artificial Intelligence 347
- Health Information Management 49
- Pulmonary and Respiratory Medicine 338
- Toxicology 24
Countries citing papers authored by Matthew Moore
This map shows the geographic impact of Matthew 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 Matthew Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Moore more than expected).
Fields of papers citing papers by Matthew Moore
This network shows the impact of papers produced by Matthew 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 Matthew Moore. The network helps show where Matthew Moore may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew 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 | 8 | |
| 2 | 2023 | 14 | |
| 3 | 2023 | 11 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 10 | |
| 7 | 2021 | 17 | |
| 8 | 2020 | 8 | |
| 9 | 2019 | 1 | |
| 10 | 2019 | 79 | |
| 11 | 2019 | 8 | |
| 12 | Cancer Survivorship: Does One Size Fit All? | 2017 | 2 |
| 13 | 2015 | 1 | |
| 14 | 2013 | 7 | |
| 15 | 2013 | 25 | |
| 16 | 2013 | 170 | |
| 17 | 2011 | 176 | |
| 18 | 2011 | 26 | |
| 19 | Quantum-inspired genetic algorithmsbreakdown → | 2002 | 440 |
| 20 | 1994 | 29 |
About Matthew Moore
Matthew Moore is a scholar working on Family Practice, Health Informatics, Algebra and Number Theory, Gastroenterology and Biomaterials, having authored 38 papers that have together received 1.2k indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (4 papers), Electrospun Nanofibers in Biomedical Applications (4 papers), semigroups and automata theory (3 papers), Advanced Algebra and Logic (3 papers), Lung Cancer Diagnosis and Treatment (3 papers), Pleural and Pulmonary Diseases (3 papers), Cardiac and Coronary Surgery Techniques (3 papers) and Tissue Engineering and Regenerative Medicine (2 papers). The work is most often cited by research in Health Informatics (80 citations), Artificial Intelligence (347 citations), Health Information Management (49 citations), Pulmonary and Respiratory Medicine (338 citations) and Toxicology (24 citations). Matthew Moore has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include A. Narayanan, Candace Gunnarsson, Steven Swanson, John A. Howington, Daniel Miller, Robert J. McKenna, Michael A. Maddaus, Bryan F. Meyers, Santiago Romero‐Brufau and Kirk D. Wyatt. Their work appears in journals such as Advanced Healthcare Materials, Materials Today Advances, ACS Biomaterials Science & Engineering, Emergency Medicine Journal and Journal of Symbolic Logic.
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.