Farshid Ashtiani
Impact in
- Acoustics and Ultrasonics top 10%
- Artificial Intelligence top 5%
- Neural Networks and Reservoir Computing
Papers in
-
- Photonic and Optical Devices 19
- Optical Network Technologies 9
- Advanced Photonic Communication Systems 5
-
- Neural Networks and Reservoir Computing 13
- Co-authors
- Firooz Aflatouni (13 shared papers)Alexander J. Geers (3 shared papers)Brian Edwards (1 shared paper)Nader Engheta (1 shared paper)Vahid Nikkhah (1 shared paper)S. J. Ben Yoo (3 shared papers)Andrea Blanco‐Redondo (4 shared papers)Daniel Pérez (3 shared papers)
- Journals
- Optics Express (4 papers)Nature (2 papers)ACS Photonics (2 papers)Nature Communications (1 paper)Optica (1 paper)
- Partner nations
- United StatesFinlandCanada
In The Last Decade
Farshid Ashtiani
19 papers receiving 581 citations
Farshid Ashtiani's Hit Papers
Peers
Comparison fields: 5 of 50
- Acoustics and Ultrasonics 17
- Artificial Intelligence 406
- Electrical and Electronic Engineering 503
- Instrumentation 15
- Atomic and Molecular Physics, and Optics 122
Countries citing papers authored by Farshid Ashtiani
This map shows the geographic impact of Farshid Ashtiani'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 Farshid Ashtiani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Farshid Ashtiani more than expected).
Fields of papers citing papers by Farshid Ashtiani
This network shows the impact of papers produced by Farshid Ashtiani. 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 Farshid Ashtiani. The network helps show where Farshid Ashtiani may publish in the future.
Co-authors
The 25 scholars most cited alongside Farshid Ashtiani, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An on-chip photonic deep neural network for image classification Hit paper breakdown → | 2022 | 447 |
| 2 | 2019 | 64 | |
| 3 | 2024 | 52 | |
| 4 | 2024 | 27 | |
| 5 | 2017 | 16 | |
| 6 | 2018 | 8 | |
| 7 | 2019 | 5 | |
| 8 | 2025 | 4 | |
| 9 | 2023 | 4 | |
| 10 | 2018 | 2 | |
| 11 | 2023 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2023 | 1 | |
| 14 | 2021 | 1 | |
| 15 | 2020 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2021 | 1 |
About Farshid Ashtiani
Farshid Ashtiani is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Atomic and Molecular Physics, and Optics, Biomedical Engineering and Instrumentation, having authored 25 papers that have together received 641 indexed citations. Recurring topics across this work include Photonic and Optical Devices (19 papers), Neural Networks and Reservoir Computing (13 papers), Optical Network Technologies (9 papers), Advanced Fiber Laser Technologies (7 papers), Advanced Photonic Communication Systems (5 papers), Optical Coherence Tomography Applications (2 papers), Topological Materials and Phenomena (2 papers) and Photonic Crystals and Applications (2 papers). The work is most often cited by research in Acoustics and Ultrasonics (17 citations), Artificial Intelligence (406 citations), Electrical and Electronic Engineering (503 citations), Instrumentation (15 citations) and Atomic and Molecular Physics, and Optics (122 citations). Farshid Ashtiani has collaborated with scholars based in United States, Finland and Canada. Frequent co-authors include Firooz Aflatouni, Alexander J. Geers, Brian Edwards, Nader Engheta, Vahid Nikkhah, S. J. Ben Yoo, Andrea Blanco‐Redondo, Daniel Pérez, Kwangwoong Kim and John E. Bowers. Their work appears in journals such as Optics Express, Nature, ACS Photonics, Nature Communications and Optica.
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.