Brian Alvarez
Impact in
- Condensed Matter Physics top 5%
- GaN-based semiconductor devices and materials
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- Ga2O3 and related materials
Papers in
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- GaN-based semiconductor devices and materials 4
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- Silicon Carbide Semiconductor Technologies 4
- Thin-Film Transistor Technologies 1
- Semiconductor materials and devices 1
- Co-authors
- Quentin Diduck (3 shared papers)I.C. Kizilyalli (3 shared papers)Andrew Edwards (3 shared papers)Ming Zhang (1 shared paper)Dave Bour (1 shared paper)Hui Nie (1 shared paper)T. Prunty (1 shared paper)Brendan M. Kayes (1 shared paper)
- Journals
- Neuromodulation Technology at the Neural Interface (1 paper)IEEE Electron Device Letters (1 paper)ECS Transactions (1 paper)ECS Meeting Abstracts (1 paper)White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Brian Alvarez
5 papers receiving 316 citations
Peers
Comparison fields: 5 of 23
- Condensed Matter Physics 288
- Electronic, Optical and Magnetic Materials 131
- Electrical and Electronic Engineering 259
- Anesthesiology and Pain Medicine 17
- Atomic and Molecular Physics, and Optics 37
Countries citing papers authored by Brian Alvarez
This map shows the geographic impact of Brian Alvarez'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 Brian Alvarez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Alvarez more than expected).
Fields of papers citing papers by Brian Alvarez
This network shows the impact of papers produced by Brian Alvarez. 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 Brian Alvarez. The network helps show where Brian Alvarez may publish in the future.
Co-authors
The 19 scholars most cited alongside Brian Alvarez, 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 | 2014 | 302 | |
| 2 | 1998 | 18 | |
| 3 | 2016 | 4 | |
| 4 | 2013 | 3 | |
| 5 | 2013 | 1 |
About Brian Alvarez
Brian Alvarez is a scholar working on Condensed Matter Physics, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials, Pharmacology and Anesthesiology and Pain Medicine, having authored 5 papers that have together received 328 indexed citations. Recurring topics across this work include Silicon Carbide Semiconductor Technologies (4 papers), GaN-based semiconductor devices and materials (4 papers), Ga2O3 and related materials (2 papers), Pain Management and Treatment (1 paper), Transcranial Magnetic Stimulation Studies (1 paper), Musculoskeletal pain and rehabilitation (1 paper), Thin-Film Transistor Technologies (1 paper) and Semiconductor materials and devices (1 paper). The work is most often cited by research in Condensed Matter Physics (288 citations), Electronic, Optical and Magnetic Materials (131 citations), Electrical and Electronic Engineering (259 citations), Anesthesiology and Pain Medicine (17 citations) and Atomic and Molecular Physics, and Optics (37 citations). Brian Alvarez has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Quentin Diduck, I.C. Kizilyalli, Andrew Edwards, Ming Zhang, Dave Bour, Hui Nie, T. Prunty, Brendan M. Kayes, Kim Fowler and Richard B. North. Their work appears in journals such as Neuromodulation Technology at the Neural Interface, IEEE Electron Device Letters, ECS Transactions, ECS Meeting Abstracts and White Rose Research Online (University of Leeds, The University of Sheffield, University of York).
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.