Joshua Robertson
- Artificial Intelligence top 2%
- Neural Networks and Reservoir Computing 36
- Neural Networks and Applications 1
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- Photonic and Optical Devices 22
- Advanced Memory and Neural Computing 19
- Optical Network Technologies 17
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function 7
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- Nonlinear Dynamics and Pattern Formation 2
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- Photoreceptor and optogenetics research 1
- Co-authors
- Antonio HurtadoMatéj HejdaJulián BuenoTao DengJ. JavaloyesJuan Arturo AlanisShuiying XiangYahui Zhang
- Journals
- IEEE Journal of Selected Topics in Quantum Electronics (4 papers)Scientific Reports (3 papers)Optical Materials Express (2 papers)
- Partner nations
- United KingdomPortugalNetherlands
In The Last Decade
Joshua Robertson
32 papers receiving 743 citations
Peers
Comparison fields: 5 of 21
- Artificial Intelligence 697
- Electrical and Electronic Engineering 722
- Acoustics and Ultrasonics 7
- Cognitive Neuroscience 136
- Statistical and Nonlinear Physics 26
Countries citing papers authored by Joshua Robertson
This map shows the geographic impact of Joshua Robertson'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 Joshua Robertson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joshua Robertson more than expected).
Fields of papers citing papers by Joshua Robertson
This network shows the impact of papers produced by Joshua Robertson. 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 Joshua Robertson. The network helps show where Joshua Robertson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Joshua Robertson, 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 | 2025 | 2 | |
| 2 | 2025 | 5 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 0 | |
| 11 | 2024 | 1 | |
| 12 | 2024 | 0 | |
| 13 | 2022 | 53 | |
| 14 | 2022 | 27 | |
| 15 | 2020 | 1 | |
| 16 | 2020 | 75 | |
| 17 | 2018 | 38 | |
| 18 | 2018 | 20 | |
| 19 | 2017 | 83 | |
| 20 | Single-pulse and 'pulsetrain-burst'(>100 MHz) effects in ultrafast laser processing of metals, glasses, and bio-tissues | 2003 | 1 |
About Joshua Robertson
Joshua Robertson is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Cognitive Neuroscience, having authored 38 papers that have together received 771 indexed citations. Recurring topics across this work include Neural Networks and Reservoir Computing (36 papers), Photonic and Optical Devices (22 papers), Advanced Memory and Neural Computing (19 papers), Optical Network Technologies (17 papers), Neural dynamics and brain function (7 papers), Nonlinear Dynamics and Pattern Formation (2 papers), Photoreceptor and optogenetics research (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Artificial Intelligence (697 citations), Electrical and Electronic Engineering (722 citations) and Acoustics and Ultrasonics (7 citations). Joshua Robertson has collaborated with scholars based in United Kingdom, Portugal and Netherlands. Frequent co-authors include Antonio Hurtado, Matéj Hejda, Julián Bueno, Tao Deng, J. Javaloyes, Juan Arturo Alanis, Shuiying Xiang, Yahui Zhang, Paul Kirkland and Gaetano Di Caterina. Their work appears in journals such as IEEE Journal of Selected Topics in Quantum Electronics, Scientific Reports, Optical Materials Express, Optics Express and Physical Review Applied.
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.