Jonathan George
Impact in
- Artificial Intelligence top 5%
- Neural Networks and Reservoir Computing
Papers in
-
- Photonic and Optical Devices 16
- Optical Network Technologies 14
- Advanced Memory and Neural Computing 4
-
- Neural Networks and Reservoir Computing 17
- Co-authors
- Volker J. Sorger (22 shared papers)Mario Miscuglio (7 shared papers)Armin Mehrabian (4 shared papers)Zibo Hu (5 shared papers)Alexander V. Kildishev (1 shared paper)Shaimaa I. Azzam (1 shared paper)Lijie Grace Zhang (2 shared papers)Matthew Pelton (1 shared paper)
- Journals
- Inorganic Chemistry (2 papers)IEEE Transactions on Consumer Electronics (2 papers)Biofabrication (1 paper)ACS Omega (1 paper)Superconductor Science and Technology (1 paper)
- Partner nations
- United StatesAustraliaRussia
In The Last Decade
Jonathan George
39 papers receiving 559 citations
Peers
Comparison fields: 5 of 73
- Acoustics and Ultrasonics 12
- Artificial Intelligence 330
- Electrical and Electronic Engineering 382
- Condensed Matter Physics 34
- Biomedical Engineering 119
Countries citing papers authored by Jonathan George
This map shows the geographic impact of Jonathan George'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 Jonathan George with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan George more than expected).
Fields of papers citing papers by Jonathan George
This network shows the impact of papers produced by Jonathan George. 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 Jonathan George. The network helps show where Jonathan George may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan George, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 159 | |
| 2 | 2019 | 87 | |
| 3 | 2017 | 78 | |
| 4 | 2022 | 43 | |
| 5 | 2021 | 39 | |
| 6 | 2020 | 25 | |
| 7 | 2021 | 18 | |
| 8 | 2018 | 15 | |
| 9 | 2015 | 13 | |
| 10 | 2017 | 11 | |
| 11 | 2021 | 11 | |
| 12 | 2016 | 8 | |
| 13 | 2020 | 7 | |
| 14 | 2018 | 7 | |
| 15 | 2018 | 7 | |
| 16 | 2022 | 6 | |
| 17 | 2018 | 5 | |
| 18 | 2023 | 5 | |
| 19 | 2018 | 5 | |
| 20 | 2022 | 5 |
About Jonathan George
Jonathan George is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Condensed Matter Physics and Pulmonary and Respiratory Medicine, having authored 43 papers that have together received 595 indexed citations. Recurring topics across this work include Neural Networks and Reservoir Computing (17 papers), Photonic and Optical Devices (16 papers), Optical Network Technologies (14 papers), Medical Imaging Techniques and Applications (5 papers), Advanced Memory and Neural Computing (4 papers), Physics of Superconductivity and Magnetism (4 papers), Radiation Therapy and Dosimetry (3 papers) and Radioactive element chemistry and processing (3 papers). The work is most often cited by research in Acoustics and Ultrasonics (12 citations), Artificial Intelligence (330 citations), Electrical and Electronic Engineering (382 citations), Condensed Matter Physics (34 citations) and Biomedical Engineering (119 citations). Jonathan George has collaborated with scholars based in United States, Australia and Russia. Frequent co-authors include Volker J. Sorger, Mario Miscuglio, Armin Mehrabian, Zibo Hu, Alexander V. Kildishev, Shaimaa I. Azzam, Lijie Grace Zhang, Matthew Pelton, Wei Zhu and Rubab Amin. Their work appears in journals such as Inorganic Chemistry, IEEE Transactions on Consumer Electronics, Biofabrication, ACS Omega and Superconductor Science and Technology.
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.