Alexander N. Tait
- Electrical and Electronic Engineering top 0.5%
- Artificial Intelligence top 0.1%
- Atomic and Molecular Physics, and Optics top 5%
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Bhavin J. ShastriPaul R. PrucnalThomas Ferreira de LimaMitchell A. NahmiasHsuan-Tung PengWolfram H. P. PerniceC. David WrightAllie X. Wu
- Topics
- Neural Networks and Reservoir Computing (97 papers)Photonic and Optical Devices (72 papers)Optical Network Technologies (52 papers)
- Partner nations
- United StatesCanadaHong Kong
In The Last Decade
Alexander N. Tait
114 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Electrical and Electronic Engineering 4.9k
- Artificial Intelligence 4.5k
- Atomic and Molecular Physics, and Optics 488
- Cognitive Neuroscience 351
- Cellular and Molecular Neuroscience 218
Countries citing papers authored by Alexander N. Tait
This map shows the geographic impact of Alexander N. Tait'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 Alexander N. Tait with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander N. Tait more than expected).
Fields of papers citing papers by Alexander N. Tait
This network shows the impact of papers produced by Alexander N. Tait. 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 Alexander N. Tait. The network helps show where Alexander N. Tait may publish in the future.
Co-authorship network of co-authors of Alexander N. Tait
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander N. Tait. A scholar is included among the top collaborators of Alexander N. Tait based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alexander N. Tait. Alexander N. Tait is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 35 | |
| 6 | 5 | |
| 7 | 9 | |
| 8 | 16 | |
| 9 | 85 | |
| 10 | 7 | |
| 11 | 1 | |
| 12 | 29 | |
| 13 | 4 | |
| 14 | 12 | |
| 15 | 3 | |
| 16 | 1 | |
| 17 | Neuromorphic photonic networks using silicon photonic weight banksbreakdown → | 541 |
| 18 | 2 | |
| 19 | Neuromorphic Silicon Photonics. | 6 |
| 20 | 1 |
About Alexander N. Tait
Alexander N. Tait is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Cognitive Neuroscience, having authored 116 papers that have together received 5.4k indexed citations. Recurring topics across this work include Neural Networks and Reservoir Computing (97 papers), Photonic and Optical Devices (72 papers) and Optical Network Technologies (52 papers). The work is most often cited by research in Artificial Intelligence (4.5k citations), Electrical and Electronic Engineering (4.9k citations) and Acoustics and Ultrasonics (46 citations). Alexander N. Tait has collaborated with scholars based in United States, Canada and Hong Kong. Frequent co-authors include Bhavin J. Shastri, Paul R. Prucnal, Thomas Ferreira de Lima, Mitchell A. Nahmias, Hsuan-Tung Peng, Wolfram H. P. Pernice, C. David Wright, Allie X. Wu, Ellen Zhou and Heidi B. Miller. Their work appears in journals such as Nature, Nature Communications and Applied Physics Letters.
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.