Matthew Delaney
Impact in
- Acoustics and Ultrasonics top 10%
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- Metamaterials and Metasurfaces Applications
Papers in
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- Photonic and Optical Devices 4
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- Neural Networks and Reservoir Computing 3
- Advanced Software Engineering Methodologies 1
- Co-authors
- Ioannis Zeimpekis (5 shared papers)Daniel W. Hewak (3 shared papers)Otto L. Muskens (4 shared papers)Daniel Lawson (2 shared papers)David J. Thomson (2 shared papers)Han Du (1 shared paper)Mehdi Banakar (1 shared paper)Xingzhao Yan (1 shared paper)
- Journals
- Journal of Aerospace Engineering (1 paper)Optics Express (1 paper)ACS Photonics (1 paper)Science Advances (1 paper)Advanced Functional Materials (1 paper)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Matthew Delaney
9 papers receiving 669 citations
Matthew Delaney's Hit Papers
Peers
Comparison fields: 5 of 50
- Acoustics and Ultrasonics 19
- Electronic, Optical and Magnetic Materials 185
- Electrical and Electronic Engineering 537
- Materials Chemistry 362
- Artificial Intelligence 216
Countries citing papers authored by Matthew Delaney
This map shows the geographic impact of Matthew Delaney'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 Delaney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Delaney more than expected).
Fields of papers citing papers by Matthew Delaney
This network shows the impact of papers produced by Matthew Delaney. 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 Delaney. The network helps show where Matthew Delaney may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Delaney, 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 | A New Family of Ultralow Loss Reversible Phase‐Change Materials for Photonic Integrated Circuits: Sb2S3 and Sb2Se3 Hit paper breakdown → | 2020 | 414 |
| 2 | 2021 | 187 | |
| 3 | 2021 | 54 | |
| 4 | 2020 | 40 | |
| 5 | 2004 | 11 | |
| 6 | 2013 | 6 | |
| 7 | 2020 | 2 | |
| 8 | 2023 | 1 | |
| 9 | 1993 | 1 |
About Matthew Delaney
Matthew Delaney is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Materials Chemistry, Biomedical Engineering and Computer Networks and Communications, having authored 9 papers that have together received 716 indexed citations. Recurring topics across this work include Photonic and Optical Devices (4 papers), Neural Networks and Reservoir Computing (3 papers), Phase-change materials and chalcogenides (3 papers), Distributed systems and fault tolerance (1 paper), Nonlinear Optical Materials Studies (1 paper), Nanowire Synthesis and Applications (1 paper), Distributed and Parallel Computing Systems (1 paper) and Advanced Software Engineering Methodologies (1 paper). The work is most often cited by research in Acoustics and Ultrasonics (19 citations), Electronic, Optical and Magnetic Materials (185 citations), Electrical and Electronic Engineering (537 citations), Materials Chemistry (362 citations) and Artificial Intelligence (216 citations). Matthew Delaney has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Ioannis Zeimpekis, Daniel W. Hewak, Otto L. Muskens, Daniel Lawson, David J. Thomson, Han Du, Mehdi Banakar, Xingzhao Yan, Anna Baldycheva and C. David Wright. Their work appears in journals such as Journal of Aerospace Engineering, Optics Express, ACS Photonics, Science Advances and Advanced Functional Materials.
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.