Lee Crudgington

626 citations
7 papers · 436 · 1 hit paper · h-index 4

Impact in

Papers in

Lee Crudgington

7 papers receiving 396 citations

Lee Crudgington's Hit Papers

Multipurpose silicon photonics signal processor core 2017 · 352 citations
3520+3+6Years since publication100200300

Peers

Lee Crudgington
Comparison fields: 5 of 31
  • Acoustics and Ultrasonics 7
  • Electrical and Electronic Engineering 410
  • Artificial Intelligence 228
  • Atomic and Molecular Physics, and Optics 122
  • Nuclear Energy and Engineering 1
Replace Lei Qiao with:
Lei Qiao China
Samarth Aggarwal United Kingdom
Nicola Peserico United States
Peter Brereton United States
Erik D. Kim United States
D. C. Unitt United Kingdom
A. Mazzei Germany
Guillaume Tarel Switzerland
Yoshiya Sato Japan
A. C. T. Thijssen United Kingdom
Lee Crudgington relative to Lei Qiao China Lei Qiao's profile →
Citations per field
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Citations per year

Countries citing papers authored by Lee Crudgington

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

7 of 7 papers shown
#Work
1
Multipurpose silicon photonics signal processor core
Hit paper breakdown →
2017352
2 201747
3 201522
4 201611
5 20172
6 20141
7 20171

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 436 indexed citations. Recurring topics across this work include Optical Network Technologies (4 papers), Photonic and Optical Devices (3 papers), Neural Networks and Reservoir Computing (3 papers), Advanced Photonic Communication Systems (2 papers), Thin-Film Transistor Technologies (2 papers), Silicon and Solar Cell 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), Electrical and Electronic Engineering (410 citations), Artificial Intelligence (228 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 Serbia. Frequent co-authors include Daniel Pérez, Ke Li, David J. Thomson, Ali Z. Khokhar, Ivana Gasulla, Goran Z. Mashanovich, J. Capmany, Wei Cao, Stuart A. Boden and Harold M. H. Chong. Their work appears in journals such as Vacuum, Microelectronic Engineering, Nature Communications, 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.

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