Pascal Stark
Impact in
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- Photonic and Optical Devices
- Optical Network Technologies
- Advanced Memory and Neural Computing
- Artificial Intelligence top 10%
- Neural Networks and Reservoir Computing
Papers in
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- Photonic and Optical Devices 10
- Optical Network Technologies 9
- Advanced Memory and Neural Computing 3
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- Neural Networks and Reservoir Computing 10
- Co-authors
- Bert Jan Offrein (10 shared papers)Felix Eltes (8 shared papers)Stefan Abel (9 shared papers)Daniele Caimi (8 shared papers)J. Fompeyrine (8 shared papers)H. Siegwart (2 shared papers)R. Dangel (4 shared papers)Folkert Horst (4 shared papers)
- Journals
- IEEE Journal of Solid-State Circuits (1 paper)Nature Photonics (1 paper)Nature Materials (1 paper)Nanophotonics (1 paper)DORA Empa (Swiss Federal Laboratories for Materials Science and Technology (Empa)) (4 papers)
- Partner nations
- SwitzerlandUnited KingdomUnited States
In The Last Decade
Pascal Stark
15 papers receiving 289 citations
Peers
Comparison fields: 5 of 26
- Electrical and Electronic Engineering 252
- Artificial Intelligence 122
- Atomic and Molecular Physics, and Optics 109
- Materials Chemistry 78
- Electronic, Optical and Magnetic Materials 17
Countries citing papers authored by Pascal Stark
This map shows the geographic impact of Pascal Stark'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 Pascal Stark with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal Stark more than expected).
Fields of papers citing papers by Pascal Stark
This network shows the impact of papers produced by Pascal Stark. 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 Pascal Stark. The network helps show where Pascal Stark may publish in the future.
Co-authors
The 25 scholars most cited alongside Pascal Stark, 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 | 2020 | 117 | |
| 2 | 2022 | 83 | |
| 3 | 2018 | 48 | |
| 4 | 1967 | 13 | |
| 5 | 2019 | 8 | |
| 6 | 2019 | 8 | |
| 7 | 2021 | 8 | |
| 8 | 2018 | 3 | |
| 9 | 2019 | 3 | |
| 10 | 2020 | 3 | |
| 11 | 2023 | 2 | |
| 12 | 2002 | 2 | |
| 13 | 2020 | 2 | |
| 14 | 2020 | 1 | |
| 15 | 2020 | 1 | |
| 16 | 2021 | 0 |
About Pascal Stark
Pascal Stark is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Atomic and Molecular Physics, and Optics, Cognitive Neuroscience and Human-Computer Interaction, having authored 16 papers that have together received 302 indexed citations. Recurring topics across this work include Neural Networks and Reservoir Computing (10 papers), Photonic and Optical Devices (10 papers), Optical Network Technologies (9 papers), Advanced Memory and Neural Computing (3 papers), Advanced Fiber Laser Technologies (2 papers), Semiconductor Quantum Structures and Devices (1 paper), Photovoltaic System Optimization Techniques (1 paper) and Photorefractive and Nonlinear Optics (1 paper). The work is most often cited by research in Electrical and Electronic Engineering (252 citations), Artificial Intelligence (122 citations), Atomic and Molecular Physics, and Optics (109 citations), Materials Chemistry (78 citations) and Electronic, Optical and Magnetic Materials (17 citations). Pascal Stark has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Bert Jan Offrein, Felix Eltes, Stefan Abel, Daniele Caimi, J. Fompeyrine, H. Siegwart, R. Dangel, Folkert Horst, Mark G. Thompson and Jonas Weiß. Their work appears in journals such as IEEE Journal of Solid-State Circuits, Nature Photonics, Nature Materials, Nanophotonics and DORA Empa (Swiss Federal Laboratories for Materials Science and Technology (Empa)).
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.