Stefan Krastanov
- Artificial Intelligence top 2%
- Quantum Information and Cryptography 14
- Quantum Computing Algorithms and Architecture 11
- Neural Networks and Reservoir Computing 6
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- Quantum and electron transport phenomena 5
- Mechanical and Optical Resonators 4
- Quantum Mechanics and Applications 4
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- Photonic and Optical Devices 6
- Optical Network Technologies 5
- Co-authors
- Liang JiangVictor V. AlbertRobert SchoelkopfReinier HeeresBrian VlastakisChao ShenDirk EnglundLuigi Frunzio
- Partner nations
- United StatesDenmarkChina
In The Last Decade
Stefan Krastanov
22 papers receiving 732 citations
Hit Papers
Peers
Comparison fields: 5 of 42
- Artificial Intelligence 636
- Atomic and Molecular Physics, and Optics 499
- Acoustics and Ultrasonics 5
- Electrical and Electronic Engineering 152
- Computational Theory and Mathematics 34
Countries citing papers authored by Stefan Krastanov
This map shows the geographic impact of Stefan Krastanov'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 Stefan Krastanov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Krastanov more than expected).
Fields of papers citing papers by Stefan Krastanov
This network shows the impact of papers produced by Stefan Krastanov. 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 Stefan Krastanov. The network helps show where Stefan Krastanov may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stefan Krastanov, 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 | 0 | |
| 3 | Single-chip photonic deep neural network with forward-only trainingbreakdown → | 2024 | 60 |
| 4 | 2024 | 7 | |
| 5 | 2024 | 12 | |
| 6 | 2023 | 12 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 8 | |
| 9 | 2023 | 4 | |
| 10 | 2022 | 5 | |
| 11 | 2022 | 6 | |
| 12 | 2021 | 33 | |
| 13 | 2021 | 59 | |
| 14 | 2019 | 66 | |
| 15 | 2019 | 18 | |
| 16 | 2017 | 45 | |
| 17 | 2017 | 56 | |
| 18 | 2016 | 72 | |
| 19 | 2015 | 127 | |
| 20 | 2013 | 30 |
About Stefan Krastanov
Stefan Krastanov is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering, having authored 23 papers that have together received 756 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (14 papers), Quantum Computing Algorithms and Architecture (11 papers), Photonic and Optical Devices (6 papers), Neural Networks and Reservoir Computing (6 papers), Optical Network Technologies (5 papers), Quantum and electron transport phenomena (5 papers), Mechanical and Optical Resonators (4 papers) and Quantum Mechanics and Applications (4 papers). The work is most often cited by research in Artificial Intelligence (636 citations), Atomic and Molecular Physics, and Optics (499 citations) and Acoustics and Ultrasonics (5 citations). Stefan Krastanov has collaborated with scholars based in United States, Denmark and China. Frequent co-authors include Liang Jiang, Victor V. Albert, Robert Schoelkopf, Reinier Heeres, Brian Vlastakis, Chao Shen, Dirk Englund, Luigi Frunzio, Eric C. Holland and Chang‐Ling Zou. Their work appears in journals such as Physical Review Letters, Nature Communications and Nano 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.