Matthew Moore

1.8k citations
39 papers · 1.3k · 1 hit paper · h-index 13

Impact in

Papers in

    • Tissue Engineering and Regenerative Medicine 3
    • Gastrointestinal disorders and treatments 2
    • Cardiac and Coronary Surgery Techniques 2
    • Lung Cancer Diagnosis and Treatment 3

Matthew Moore

36 papers receiving 1.2k citations

Matthew Moore's Hit Papers

Quantum-inspired genetic algorithms 2002 · 441 citations
4410+8+16Years since publication100200300400

Peers

Matthew Moore
Comparison fields: 5 of 146
  • Health Informatics 79
  • Pulmonary and Respiratory Medicine 305
  • Artificial Intelligence 329
  • Toxicology 24
  • Health Information Management 28
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Matthew Moore relative to Carmelo Militello Italy Carmelo Militello's profile →
Citations per field
00.5×4.8×
Carmelo Militello · 1×
Citations per year

Countries citing papers authored by Matthew Moore

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Matthew Moore Line = papers co-authored together Matthew Moore links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Quantum-inspired genetic algorithms
Hit paper breakdown →
2002441
2 2011177
3 2013173
4 201987
5 199082
6 202046
7 199429
8 201126
9 201325
10 202221
11 202117
12 202314
13 202313
14 202212
15 202512
16 202211
17 20208
18 20198
19 20137
20 20167

About Matthew Moore

Matthew Moore is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Molecular Biology, Biomaterials and Computational Theory and Mathematics, having authored 39 papers that have together received 1.3k indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (5 papers), Advanced Algebra and Logic (3 papers), semigroups and automata theory (3 papers), Lung Cancer Diagnosis and Treatment (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Rings, Modules, and Algebras (2 papers), Gastrointestinal disorders and treatments (2 papers) and Cardiac and Coronary Surgery Techniques (2 papers). The work is most often cited by research in Health Informatics (79 citations), Pulmonary and Respiratory Medicine (305 citations), Artificial Intelligence (329 citations), Toxicology (24 citations) and Health Information Management (28 citations). Matthew Moore has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include A. Narayanan, Candace Gunnarsson, John A. Howington, Daniel Miller, Steven Swanson, Robert J. McKenna, Bryan F. Meyers, Michael A. Maddaus, Santiago Romero‐Brufau and Kirk D. Wyatt. Their work appears in journals such as Materials Today Advances, Advanced Healthcare Materials, Journal of the History of Medicine and Allied Sciences, The Journal of the Acoustical Society of America and PLoS ONE.

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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