Lee Crudgington
Impact in
- Artificial Intelligence top 5%
- Neural Networks and Reservoir Computing
Papers in
-
- Optical Network Technologies 4
- Photonic and Optical Devices 3
- Advanced Photonic Communication Systems 2
- Silicon and Solar Cell Technologies 2
- Thin-Film Transistor Technologies 2
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- Neural Networks and Reservoir Computing 3
- Co-authors
- Ke Li (4 shared papers)J. Capmany (4 shared papers)Goran Z. Mashanovich (4 shared papers)Daniel Pérez (4 shared papers)Ali Z. Khokhar (4 shared papers)David J. Thomson (4 shared papers)Wei Cao (4 shared papers)Ivana Gasulla (4 shared papers)
- Journals
- Nature Communications (1 paper)Microelectronic Engineering (1 paper)Vacuum (1 paper)Laser & Photonics Review (1 paper)Molecular Crystals and Liquid Crystals (1 paper)
- Partner nations
- United KingdomSpainJapan
In The Last Decade
Lee Crudgington
7 papers receiving 407 citations
Lee Crudgington's Hit Papers
Peers
Comparison fields: 5 of 31
- Acoustics and Ultrasonics 7
- Artificial Intelligence 237
- Electrical and Electronic Engineering 420
- Atomic and Molecular Physics, and Optics 122
- Nuclear Energy and Engineering 1
Countries citing papers authored by Lee Crudgington
This map shows the geographic impact of Lee Crudgington'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 Lee Crudgington with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lee Crudgington more than expected).
Fields of papers citing papers by Lee Crudgington
This network shows the impact of papers produced by Lee Crudgington. 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 Lee Crudgington. The network helps show where Lee Crudgington may publish in the future.
Co-authors
The 16 scholars most cited alongside Lee Crudgington, 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 | Multipurpose silicon photonics signal processor core Hit paper breakdown → | 2017 | 364 |
| 2 | 2017 | 48 | |
| 3 | 2015 | 22 | |
| 4 | 2016 | 11 | |
| 5 | 2017 | 2 | |
| 6 | 2014 | 1 | |
| 7 | 2017 | 1 |
About Lee Crudgington
Lee Crudgington is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Atomic and Molecular Physics, and Optics, Renewable Energy, Sustainability and the Environment and Biomedical Engineering, having authored 7 papers that have together received 449 indexed citations. Recurring topics across this work include Optical Network Technologies (4 papers), Neural Networks and Reservoir Computing (3 papers), Photonic and Optical Devices (3 papers), Advanced Photonic Communication Systems (2 papers), Silicon and Solar Cell Technologies (2 papers), Thin-Film Transistor Technologies (2 papers), Photovoltaic System Optimization Techniques (1 paper) and Nanowire Synthesis and Applications (1 paper). The work is most often cited by research in Acoustics and Ultrasonics (7 citations), Artificial Intelligence (237 citations), Electrical and Electronic Engineering (420 citations), Atomic and Molecular Physics, and Optics (122 citations) and Nuclear Energy and Engineering (1 citation). Lee Crudgington has collaborated with scholars based in United Kingdom, Spain and Japan. Frequent co-authors include Ke Li, J. Capmany, Goran Z. Mashanovich, Daniel Pérez, Ali Z. Khokhar, David J. Thomson, Wei Cao, Ivana Gasulla, Stuart A. Boden and Harold M. H. Chong. Their work appears in journals such as Nature Communications, Microelectronic Engineering, Vacuum, Laser & Photonics Review and Molecular Crystals and Liquid Crystals.
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.