Daniel Brunner
Impact in
- Artificial Intelligence top 0.2%
- Neural Networks and Reservoir Computing
- Quantum Information and Cryptography
- Acoustics and Ultrasonics top 5%
Papers in
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- Neural Networks and Reservoir Computing 66
- Neural Networks and Applications 6
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- Semiconductor Lasers and Optical Devices 21
- Photonic and Optical Devices 9
- Advanced Memory and Neural Computing 5
- Co-authors
- Miguel C. Soriano (20 shared papers)Ingo Fischer (26 shared papers)Cláudio R. Mirasso (8 shared papers)Laurent Larger (24 shared papers)Maxime Jacquot (17 shared papers)Guy Van der Sande (1 shared paper)Luis Pesquera (3 shared papers)Xavier Porté (31 shared papers)
In The Last Decade
Daniel Brunner
100 papers receiving 5.6k citations
Daniel Brunner's Hit Papers
Peers
Comparison fields: 5 of 88
- Artificial Intelligence 3.6k
- Acoustics and Ultrasonics 64
- Atomic and Molecular Physics, and Optics 1.2k
- Statistical and Nonlinear Physics 322
- Electrical and Electronic Engineering 1.2k
Countries citing papers authored by Daniel Brunner
This map shows the geographic impact of Daniel Brunner'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 Daniel Brunner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Brunner more than expected).
Fields of papers citing papers by Daniel Brunner
This network shows the impact of papers produced by Daniel Brunner. 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 Daniel Brunner. The network helps show where Daniel Brunner may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Brunner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Parallel photonic information processing at gigabyte per second data rates using transient states Hit paper breakdown → | 2013 | 704 |
| 2 | Photonic information processing beyond Turing: an optoelectronic implementation of reservoir computing Hit paper breakdown → | 2012 | 678 |
| 3 | Advances in photonic reservoir computing Hit paper breakdown → | 2017 | 442 |
| 4 | 2008 | 335 | |
| 5 | 2018 | 315 | |
| 6 | Machine learning and applications in ultrafast photonics Hit paper breakdown → | 2020 | 308 |
| 7 | 2009 | 284 | |
| 8 | 2013 | 156 | |
| 9 | 2015 | 155 | |
| 10 | 2017 | 155 | |
| 11 | 2019 | 150 | |
| 12 | 2022 | 145 | |
| 13 | 2021 | 132 | |
| 14 | 2019 | 125 | |
| 15 | 2013 | 121 | |
| 16 | 2018 | 120 | |
| 17 | 2020 | 103 | |
| 18 | 2013 | 99 | |
| 19 | 2015 | 93 | |
| 20 | 2021 | 59 |
About Daniel Brunner
Daniel Brunner is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Acoustics and Ultrasonics, having authored 104 papers that have together received 5.9k indexed citations. Recurring topics across this work include Neural Networks and Reservoir Computing (66 papers), Semiconductor Lasers and Optical Devices (21 papers), Semiconductor Quantum Structures and Devices (9 papers), Photonic and Optical Devices (9 papers), Nonlinear Optical Materials Studies (6 papers), Neural Networks and Applications (6 papers), Advanced Memory and Neural Computing (5 papers) and Nonlinear Dynamics and Pattern Formation (5 papers). The work is most often cited by research in Artificial Intelligence (3.6k citations), Acoustics and Ultrasonics (64 citations), Atomic and Molecular Physics, and Optics (1.2k citations), Statistical and Nonlinear Physics (322 citations) and Electrical and Electronic Engineering (1.2k citations). Daniel Brunner has collaborated with scholars based in France, Spain and Germany. Frequent co-authors include Miguel C. Soriano, Ingo Fischer, Cláudio R. Mirasso, Laurent Larger, Maxime Jacquot, Guy Van der Sande, Luis Pesquera, Xavier Porté, José Manuel Gutiérrez and Richard John Warburton. Their work appears in journals such as Optics Express, Nanophotonics, Chaos An Interdisciplinary Journal of Nonlinear Science, Optics Letters and Physical Review 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.