Ben Bartlett
Impact in
- Artificial Intelligence top 5%
- Neural Networks and Reservoir Computing
- Neural Networks and Applications
- Quantum Information and Cryptography
Papers in
-
- Neural Networks and Reservoir Computing 5
- Quantum Computing Algorithms and Architecture 1
- Quantum Information and Cryptography 1
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- Optical Network Technologies 5
- Photonic and Optical Devices 5
- Co-authors
- Shanhui Fan (6 shared papers)Sunil Pai (4 shared papers)Tyler W. Hughes (4 shared papers)Momchil Minkov (4 shared papers)Ian A. D. Williamson (4 shared papers)D. J. Stevenson (1 shared paper)Andrea Melloni (1 shared paper)Francesco Morichetti (1 shared paper)
- Journals
- Optics Express (1 paper)Geophysical Research Letters (1 paper)Physical review. A (1 paper)Science (1 paper)IEEE Journal of Selected Topics in Quantum Electronics (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Ben Bartlett
7 papers receiving 537 citations
Ben Bartlett's Hit Papers
Peers
Comparison fields: 5 of 43
- Artificial Intelligence 490
- Acoustics and Ultrasonics 10
- Electrical and Electronic Engineering 469
- Instrumentation 7
- Atomic and Molecular Physics, and Optics 52
Countries citing papers authored by Ben Bartlett
This map shows the geographic impact of Ben Bartlett'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 Ben Bartlett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Bartlett more than expected).
Fields of papers citing papers by Ben Bartlett
This network shows the impact of papers produced by Ben Bartlett. 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 Ben Bartlett. The network helps show where Ben Bartlett may publish in the future.
Co-authors
The 17 scholars most cited alongside Ben Bartlett, 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 | 2019 | 239 | |
| 2 | Experimentally realized in situ backpropagation for deep learning in photonic neural networks Hit paper breakdown → | 2023 | 205 |
| 3 | 2020 | 86 | |
| 4 | 2016 | 31 | |
| 5 | 2020 | 19 | |
| 6 | 2020 | 5 | |
| 7 | 2024 | 1 |
About Ben Bartlett
Ben Bartlett is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Paleontology, Astronomy and Astrophysics and Atomic and Molecular Physics, and Optics, having authored 7 papers that have together received 586 indexed citations. Recurring topics across this work include Optical Network Technologies (5 papers), Neural Networks and Reservoir Computing (5 papers), Photonic and Optical Devices (5 papers), Quantum optics and atomic interactions (1 paper), Quantum Computing Algorithms and Architecture (1 paper), Astro and Planetary Science (1 paper), Quantum Information and Cryptography (1 paper) and Paleontology and Stratigraphy of Fossils (1 paper). The work is most often cited by research in Artificial Intelligence (490 citations), Acoustics and Ultrasonics (10 citations), Electrical and Electronic Engineering (469 citations), Instrumentation (7 citations) and Atomic and Molecular Physics, and Optics (52 citations). Ben Bartlett has collaborated with scholars based in United States and Italy. Frequent co-authors include Shanhui Fan, Sunil Pai, Tyler W. Hughes, Momchil Minkov, Ian A. D. Williamson, D. J. Stevenson, Andrea Melloni, Francesco Morichetti, Olav Solgaard and Nathnael Abebe. Their work appears in journals such as Optics Express, Geophysical Research Letters, Physical review. A, Science and IEEE Journal of Selected Topics in Quantum Electronics.
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.