Daniel Brunner

8.1k total citations · 5 hit papers
86 papers, 5.7k citations indexed

About

Daniel Brunner is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Daniel Brunner has authored 86 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Artificial Intelligence, 58 papers in Electrical and Electronic Engineering and 17 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Daniel Brunner's work include Neural Networks and Reservoir Computing (58 papers), Photonic and Optical Devices (36 papers) and Optical Network Technologies (35 papers). Daniel Brunner is often cited by papers focused on Neural Networks and Reservoir Computing (58 papers), Photonic and Optical Devices (36 papers) and Optical Network Technologies (35 papers). Daniel Brunner collaborates with scholars based in France, Spain and Germany. Daniel Brunner's co-authors include Miguel C. Soriano, Ingo Fischer, Cláudio R. Mirasso, Laurent Larger, Guy Van der Sande, Maxime Jacquot, O. Ambacher, M. Stutzmann, L. Pesquera and H. Angerer and has published in prestigious journals such as Nature, Science and Physical Review Letters.

In The Last Decade

Daniel Brunner

85 papers receiving 5.5k citations

Hit Papers

Parallel photonic informa... 1997 2026 2006 2016 2013 2012 1997 2017 2020 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Parallel photonic information processing at gigabyte per second data rates using transient states
    2013 597 citations Daniel Brunner, Miguel C. Soriano et al. profile →
  2. Photonic information processing beyond Turing: an optoelectronic implementation of reservoir computing
    2012 569 citations Laurent Larger, Miguel C. Soriano et al. Optics Express profile →
  3. Optical constants of epitaxial AlGaN films and their temperature dependence
    1997 512 citations Daniel Brunner et al. Journal of Applied Physics profile →
  4. Advances in photonic reservoir computing
    2017 380 citations Daniel Brunner, Miguel C. Soriano et al. Nanophotonics profile →
  5. Machine learning and applications in ultrafast photonics
    2020 258 citations Goëry Genty, John M. Dudley et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel Brunner 3.8k 3.4k 1.5k 953 517 86 5.7k
Damien Querlioz 4.6k 1.2× 1.7k 0.5× 1.5k 1.0× 279 0.3× 276 0.5× 132 5.7k
Wolfgang Porod 6.5k 1.7× 1.4k 0.4× 5.0k 3.3× 528 0.6× 697 1.3× 323 9.4k
Sumito Tsunegi 1.9k 0.5× 1.2k 0.4× 1.5k 1.0× 339 0.4× 703 1.4× 56 3.1k
Julie Grollier 5.9k 1.5× 1.8k 0.5× 5.2k 3.4× 1.7k 1.8× 1.9k 3.7× 131 9.8k
Kay Yakushiji 3.6k 0.9× 1.3k 0.4× 5.8k 3.8× 1.7k 1.8× 2.5k 4.8× 195 7.9k
György Csaba 2.9k 0.8× 569 0.2× 2.7k 1.7× 427 0.4× 509 1.0× 196 4.4k
Ryosho Nakane 2.8k 0.7× 1.5k 0.4× 737 0.5× 78 0.1× 308 0.6× 126 3.6k
Giovanni Finocchio 2.2k 0.6× 539 0.2× 4.3k 2.8× 1.7k 1.7× 1.8k 3.5× 231 5.9k
Tomohiro Taniguchi 1.3k 0.3× 439 0.1× 2.1k 1.4× 754 0.8× 895 1.7× 142 3.1k
Yuriy V. Pershin 4.5k 1.2× 612 0.2× 821 0.5× 181 0.2× 155 0.3× 114 5.5k

Countries citing papers authored by Daniel Brunner

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel Brunner

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Brunner. A scholar is included among the top collaborators of Daniel Brunner 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 Daniel Brunner. Daniel Brunner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Reitzenstein, Stephan, et al.. (2025). Annealing-inspired training of an optical neural network with ternary weights. Communications Physics. 8(1). 4 indexed citations
2.
Ryczkowski, Piotr, et al.. (2025). Limits of nonlinear and dispersive fiber propagation for an optical fiber-based extreme learning machine. Optics Letters. 50(13). 4166–4166. 3 indexed citations
3.
Brunner, Daniel, et al.. (2025). Principles and metrics of extreme learning machines using a highly nonlinear fiber. Nanophotonics. 14(16). 2733–2748. 4 indexed citations
4.
Brunner, Daniel, et al.. (2024). Experimental reservoir computing with diffractively coupled VCSELs. Optics Letters. 49(9). 2285–2285. 10 indexed citations
5.
Семенов, В. В., Xavier Porté, Laurent Larger, & Daniel Brunner. (2023). Deterministic and stochastic coarsening control in optically addressed spatial light modulators subject to optical feedback. Physical review. B.. 108(2). 4 indexed citations
6.
Brunner, Daniel, et al.. (2023). Automatic Anonymization of Swiss Federal Supreme Court Rulings. 159–165. 1 indexed citations
7.
Brunner, Daniel, et al.. (2023). Scalable Delay Line-Free All-Optical Reservoir. 7. 1–1. 1 indexed citations
8.
Hesslow, Daniel, et al.. (2023). Linear optical random projections without holography. Optics Express. 31(16). 25881–25881. 1 indexed citations
9.
Brunner, Daniel, et al.. (2022). Injection locking and coupling the emitters of large VCSEL arrays via diffraction in an external cavity. Optics Express. 31(5). 8704–8704. 4 indexed citations
10.
Porté, Xavier, et al.. (2022). Computational metrics and parameters of an injection-locked large area semiconductor laser for neural network computing [Invited]. Optical Materials Express. 12(7). 2793–2793. 15 indexed citations
11.
Porté, Xavier, et al.. (2021). A complete, parallel and autonomous photonic neural network in a semiconductor multimode laser. Journal of Physics Photonics. 3(2). 24017–24017. 41 indexed citations
12.
Psaltis, Demetri, et al.. (2020). Optical neural networks: The 3D connection. Springer Link (Chiba Institute of Technology). 19 indexed citations
13.
Moughames, Johnny, Xavier Porté, Laurent Larger, et al.. (2020). 3D printed multimode-splitters for photonic interconnects. Optical Materials Express. 10(11). 2952–2952. 39 indexed citations
14.
Moughames, Johnny, Xavier Porté, Michael Thiel, et al.. (2020). Three-dimensional waveguide interconnects for scalable integration of photonic neural networks. Optica. 7(6). 640–640. 85 indexed citations
15.
Froehly, Luc, François Courvoisier, Daniel Brunner, et al.. (2019). Advancing Fourier: space–time concepts in ultrafast optics, imaging, and photonic neural networks. Journal of the Optical Society of America A. 36(11). C69–C69. 4 indexed citations
16.
Froehly, Luc, et al.. (2019). Diffractive Coupling For Photonic Networks: How Big Can We Go?. IEEE Journal of Selected Topics in Quantum Electronics. 26(1). 1–8. 17 indexed citations
17.
Brunner, Daniel, Bogdan Penkovsky, Bicky A. Márquez, et al.. (2018). Tutorial: Photonic neural networks in delay systems. Journal of Applied Physics. 124(15). 105 indexed citations
18.
Bueno, J. Trujillo, Luc Froehly, Ingo Fischer, et al.. (2018). Reinforcement learning in a large-scale photonic recurrent neural network. Optica. 5(6). 756–756. 267 indexed citations
19.
Brunner, Daniel. (2018). Towards Photonic Networks of Micropillar Lasers for Neuromorphic Computing. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
20.
Porté, Xavier, Otti D’Huys, Thomas Jüngling, et al.. (2014). Autocorrelation properties of chaotic delay dynamical systems: A study on semiconductor lasers. Physical Review E. 90(5). 52911–52911. 26 indexed citations

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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