Dan Cogan
Impact in
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- Semiconductor Quantum Structures and Devices
- Quantum and electron transport phenomena
- Quantum optics and atomic interactions
- Semiconductor materials and interfaces
- Artificial Intelligence top 10%
- Quantum Information and Cryptography
- Neural Networks and Reservoir Computing
Papers in
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- Semiconductor Quantum Structures and Devices 9
- Quantum and electron transport phenomena 7
- Quantum Mechanics and Applications 1
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- Quantum Information and Cryptography 11
- Quantum Computing Algorithms and Architecture 2
- Neural Networks and Reservoir Computing 2
- Co-authors
- D. Gershoni (13 shared papers)Zu-En Su (5 shared papers)Ido Schwartz (7 shared papers)Emma Schmidgall (6 shared papers)Brian Tuck (1 shared paper)Roni Winik (1 shared paper)Ronen Rapaport (1 shared paper)Eyal Buks (1 shared paper)
In The Last Decade
Dan Cogan
14 papers receiving 341 citations
Peers
Comparison fields: 5 of 22
- Atomic and Molecular Physics, and Optics 290
- Artificial Intelligence 160
- Electrical and Electronic Engineering 133
- Acoustics and Ultrasonics 2
- Materials Chemistry 66
Countries citing papers authored by Dan Cogan
This map shows the geographic impact of Dan Cogan'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 Dan Cogan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Cogan more than expected).
Fields of papers citing papers by Dan Cogan
This network shows the impact of papers produced by Dan Cogan. 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 Dan Cogan. The network helps show where Dan Cogan may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Cogan, 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 | 2023 | 101 | |
| 2 | 2017 | 57 | |
| 3 | 1982 | 38 | |
| 4 | 2018 | 30 | |
| 5 | 2017 | 28 | |
| 6 | 2015 | 20 | |
| 7 | 2015 | 20 | |
| 8 | 2014 | 18 | |
| 9 | 2020 | 11 | |
| 10 | 2020 | 9 | |
| 11 | 2024 | 7 | |
| 12 | 2022 | 7 | |
| 13 | 2017 | 4 | |
| 14 | 2022 | 2 |
About Dan Cogan
Dan Cogan is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Electrical and Electronic Engineering, Materials Chemistry and Insect Science, having authored 14 papers that have together received 352 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (11 papers), Semiconductor Quantum Structures and Devices (9 papers), Quantum and electron transport phenomena (7 papers), Quantum Computing Algorithms and Architecture (2 papers), Semiconductor Lasers and Optical Devices (2 papers), Neural Networks and Reservoir Computing (2 papers), Quantum Dots Synthesis And Properties (1 paper) and Quantum Mechanics and Applications (1 paper). The work is most often cited by research in Atomic and Molecular Physics, and Optics (290 citations), Artificial Intelligence (160 citations), Electrical and Electronic Engineering (133 citations), Acoustics and Ultrasonics (2 citations) and Materials Chemistry (66 citations). Dan Cogan has collaborated with scholars based in Israel, Germany and Poland. Frequent co-authors include D. Gershoni, Zu-En Su, Ido Schwartz, Emma Schmidgall, Brian Tuck, Roni Winik, Ronen Rapaport, Eyal Buks, Stephan Reitzenstein and Tobias Heindel. Their work appears in journals such as Physical review. B., Physical Review B, Physical Review Applied, Journal of Physics D Applied Physics and Applied Physics 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.