Cameron Danesh
Impact in
- Condensed Matter Physics top 10%
- GaN-based semiconductor devices and materials
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- Advanced Memory and Neural Computing
- Thin-Film Transistor Technologies
- Semiconductor Lasers and Optical Devices
Papers in
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- Semiconductor Lasers and Optical Devices 5
- Optical Wireless Communication Technologies 4
- Photonic and Optical Devices 4
- Advanced Memory and Neural Computing 3
- Organic Electronics and Photovoltaics 3
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- Neural dynamics and brain function 3
- Co-authors
- Shanju Zhang (3 shared papers)B. Pezeshki (5 shared papers)Yong Chen (3 shared papers)Robert F. Kalman (3 shared papers)Amrita Sarkar (1 shared paper)Chinedum O. Osuji (1 shared paper)Manesh Gopinadhan (1 shared paper)Morgan Stefik (1 shared paper)
- Journals
- Macromolecules (1 paper)Journal of Physics D Applied Physics (1 paper)Polymer (1 paper)Advanced Materials (1 paper)The Journal of Physical Chemistry B (1 paper)
- Partner nations
- United States
In The Last Decade
Cameron Danesh
12 papers receiving 330 citations
Peers
Comparison fields: 5 of 43
- Condensed Matter Physics 148
- Electrical and Electronic Engineering 217
- Polymers and Plastics 43
- Materials Chemistry 128
- Electronic, Optical and Magnetic Materials 45
Countries citing papers authored by Cameron Danesh
This map shows the geographic impact of Cameron Danesh'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 Cameron Danesh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cameron Danesh more than expected).
Fields of papers citing papers by Cameron Danesh
This network shows the impact of papers produced by Cameron Danesh. 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 Cameron Danesh. The network helps show where Cameron Danesh may publish in the future.
Co-authors
The 10 scholars most cited alongside Cameron Danesh, 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 | 2020 | 214 | |
| 2 | 2019 | 41 | |
| 3 | 2012 | 28 | |
| 4 | 2017 | 21 | |
| 5 | 2021 | 10 | |
| 6 | 2013 | 8 | |
| 7 | 2021 | 7 | |
| 8 | 2022 | 6 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 3 | |
| 11 | 2021 | 3 | |
| 12 | 2021 | 2 |
About Cameron Danesh
Cameron Danesh is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience, Artificial Intelligence, Polymers and Plastics and Condensed Matter Physics, having authored 12 papers that have together received 348 indexed citations. Recurring topics across this work include Semiconductor Lasers and Optical Devices (5 papers), Optical Wireless Communication Technologies (4 papers), Photonic and Optical Devices (4 papers), Advanced Memory and Neural Computing (3 papers), Organic Electronics and Photovoltaics (3 papers), Neural dynamics and brain function (3 papers), Conducting polymers and applications (2 papers) and Neural Networks and Reservoir Computing (2 papers). The work is most often cited by research in Condensed Matter Physics (148 citations), Electrical and Electronic Engineering (217 citations), Polymers and Plastics (43 citations), Materials Chemistry (128 citations) and Electronic, Optical and Magnetic Materials (45 citations). Cameron Danesh has collaborated with scholars based in United States. Frequent co-authors include Shanju Zhang, B. Pezeshki, Yong Chen, Robert F. Kalman, Amrita Sarkar, Chinedum O. Osuji, Manesh Gopinadhan, Morgan Stefik, Yong Ding and Daniel J. Inman. Their work appears in journals such as Macromolecules, Journal of Physics D Applied Physics, Polymer, Advanced Materials and The Journal of Physical Chemistry 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.