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
- Quantum Computing Algorithms and Architecture
Papers in
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- Semiconductor Quantum Structures and Devices 8
- Quantum and electron transport phenomena 6
- Quantum optics and atomic interactions 1
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- Quantum Information and Cryptography 9
- Quantum Computing Algorithms and Architecture 2
- Co-authors
- D. Gershoni (11 shared papers)Zu-En Su (4 shared papers)Ido Schwartz (5 shared papers)Emma Schmidgall (5 shared papers)B. Tuck (1 shared paper)Roni Winik (1 shared paper)Tobias Heindel (2 shared papers)Stephan Reitzenstein (2 shared papers)
In The Last Decade
Dan Cogan
12 papers receiving 296 citations
Peers
Comparison fields: 5 of 20
- Atomic and Molecular Physics, and Optics 258
- Artificial Intelligence 134
- Acoustics and Ultrasonics 2
- Electrical and Electronic Engineering 119
- Materials Chemistry 65
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 | 82 | |
| 2 | 2017 | 54 | |
| 3 | 1982 | 38 | |
| 4 | 2017 | 27 | |
| 5 | 2018 | 27 | |
| 6 | 2015 | 19 | |
| 7 | 2015 | 18 | |
| 8 | 2014 | 16 | |
| 9 | 2020 | 9 | |
| 10 | 2020 | 8 | |
| 11 | 2022 | 6 | |
| 12 | 2022 | 1 |
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 Infectious Diseases, having authored 12 papers that have together received 305 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (9 papers), Semiconductor Quantum Structures and Devices (8 papers), Quantum and electron transport phenomena (6 papers), Semiconductor Lasers and Optical Devices (2 papers), Quantum Computing Algorithms and Architecture (2 papers), Molecular Junctions and Nanostructures (1 paper), Integrated Circuits and Semiconductor Failure Analysis (1 paper) and Quantum optics and atomic interactions (1 paper). The work is most often cited by research in Atomic and Molecular Physics, and Optics (258 citations), Artificial Intelligence (134 citations), Acoustics and Ultrasonics (2 citations), Electrical and Electronic Engineering (119 citations) and Materials Chemistry (65 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, B. Tuck, Roni Winik, Tobias Heindel, Stephan Reitzenstein, Ronen Rapaport and Eyal Buks. Their work appears in journals such as Physical review. B., Physical Review B, Physical Review X, Applied Physics Letters and Journal of Physics D Applied Physics.
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.