Michal Bajcsy
- Acoustics and Ultrasonics top 2%
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- Quantum optics and atomic interactions 24
- Photonic Crystals and Applications 21
- Semiconductor Quantum Structures and Devices 10
- Cold Atom Physics and Bose-Einstein Condensates 9
- Artificial Intelligence top 1%
- Quantum Information and Cryptography 15
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- Photonic and Optical Devices 27
- Biomedical Engineering top 10%
- Plasmonic and Surface Plasmon Research 9
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- Metamaterials and Metasurfaces Applications 8
- Co-authors
- Mikhail D. LukinA. S. ZibrovArka MajumdarJelena VučkovićArmand RundquistVlatko BalićVladan VuletićSebastian Hofferberth
- Partner nations
- CanadaUnited StatesJapan
In The Last Decade
Michal Bajcsy
60 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 60
- Acoustics and Ultrasonics 99
- Atomic and Molecular Physics, and Optics 2.0k
- Artificial Intelligence 856
- Electrical and Electronic Engineering 813
- Biomedical Engineering 338
Countries citing papers authored by Michal Bajcsy
This map shows the geographic impact of Michal Bajcsy'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 Michal Bajcsy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michal Bajcsy more than expected).
Fields of papers citing papers by Michal Bajcsy
This network shows the impact of papers produced by Michal Bajcsy. 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 Michal Bajcsy. The network helps show where Michal Bajcsy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michal Bajcsy, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 24 | |
| 10 | 2021 | 29 | |
| 11 | 2020 | 97 | |
| 12 | 2020 | 2 | |
| 13 | 2020 | 95 | |
| 14 | 2019 | 2 | |
| 15 | 2012 | 152 | |
| 16 | 2012 | 132 | |
| 17 | Novel systems and techniques for nonlinear optics at low light levels | 2010 | 1 |
| 18 | Efficient All-Optical Switching Using Slow Light within a Hollow Fiberbreakdown → | 2009 | 363 |
| 19 | 2005 | 137 | |
| 20 | Stationary pulses of light in an atomic mediumbreakdown → | 2003 | 471 |
About Michal Bajcsy
Michal Bajcsy is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Artificial Intelligence, having authored 68 papers that have together received 2.3k indexed citations. Recurring topics across this work include Photonic and Optical Devices (27 papers), Quantum optics and atomic interactions (24 papers), Photonic Crystals and Applications (21 papers), Quantum Information and Cryptography (15 papers), Semiconductor Quantum Structures and Devices (10 papers), Cold Atom Physics and Bose-Einstein Condensates (9 papers), Plasmonic and Surface Plasmon Research (9 papers) and Metamaterials and Metasurfaces Applications (8 papers). The work is most often cited by research in Acoustics and Ultrasonics (99 citations), Atomic and Molecular Physics, and Optics (2.0k citations) and Artificial Intelligence (856 citations). Michal Bajcsy has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Mikhail D. Lukin, A. S. Zibrov, Arka Majumdar, Jelena Vučković, Armand Rundquist, Vlatko Balić, Vladan Vuletić, Sebastian Hofferberth, Thibault Peyronel and Dirk Englund. Their work appears in journals such as Nature, Physical Review Letters and Physical Review B.
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.