Alex Gee
Impact in
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- Molecular Junctions and Nanostructures
- Advanced Memory and Neural Computing
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- Graphene research and applications
- Porphyrin and Phthalocyanine Chemistry
Papers in
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- Advanced Memory and Neural Computing 6
- Molecular Junctions and Nanostructures 6
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- Quantum and electron transport phenomena 4
- Co-authors
- Neil T. Kemp (9 shared papers)Ayoub H. Jaafar (7 shared papers)Lapo Bogani (3 shared papers)Jan A. Mol (3 shared papers)Jonathan Baugh (2 shared papers)Harry L. Anderson (2 shared papers)Alessandro Lodi (2 shared papers)Akimitsu Narita (2 shared papers)
- Journals
- Physical review. B. (1 paper)Nature Nanotechnology (1 paper)ACS Applied Polymer Materials (1 paper)Journal of Physics D Applied Physics (1 paper)Nanotechnology (1 paper)
- Partner nations
- United KingdomUnited StatesIraq
In The Last Decade
Alex Gee
15 papers receiving 293 citations
Peers
Comparison fields: 5 of 39
- Electrical and Electronic Engineering 192
- Materials Chemistry 128
- Polymers and Plastics 37
- Atomic and Molecular Physics, and Optics 66
- Electronic, Optical and Magnetic Materials 37
Countries citing papers authored by Alex Gee
This map shows the geographic impact of Alex Gee'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 Alex Gee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Gee more than expected).
Fields of papers citing papers by Alex Gee
This network shows the impact of papers produced by Alex Gee. 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 Alex Gee. The network helps show where Alex Gee may publish in the future.
Co-authors
The 25 scholars most cited alongside Alex Gee, 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 | 55 | |
| 2 | 2024 | 54 | |
| 3 | 2024 | 47 | |
| 4 | 2020 | 27 | |
| 5 | 2023 | 22 | |
| 6 | 2019 | 21 | |
| 7 | 2023 | 19 | |
| 8 | 2022 | 15 | |
| 9 | 2021 | 11 | |
| 10 | 2019 | 9 | |
| 11 | 2016 | 5 | |
| 12 | 2020 | 5 | |
| 13 | 2022 | 3 | |
| 14 | 1981 | 2 | |
| 15 | 2017 | 1 |
About Alex Gee
Alex Gee is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Cellular and Molecular Neuroscience, Polymers and Plastics and Biomedical Engineering, having authored 15 papers that have together received 296 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (6 papers), Molecular Junctions and Nanostructures (6 papers), Conducting polymers and applications (4 papers), Quantum and electron transport phenomena (4 papers), Neuroscience and Neural Engineering (2 papers), Photoreceptor and optogenetics research (2 papers), Graphene research and applications (2 papers) and Magnetism in coordination complexes (2 papers). The work is most often cited by research in Electrical and Electronic Engineering (192 citations), Materials Chemistry (128 citations), Polymers and Plastics (37 citations), Atomic and Molecular Physics, and Optics (66 citations) and Electronic, Optical and Magnetic Materials (37 citations). Alex Gee has collaborated with scholars based in United Kingdom, United States and Iraq. Frequent co-authors include Neil T. Kemp, Ayoub H. Jaafar, Lapo Bogani, Jan A. Mol, Jonathan Baugh, Harry L. Anderson, Alessandro Lodi, Akimitsu Narita, Kläus Müllen and Christopher R. Lowe. Their work appears in journals such as Physical review. B., Nature Nanotechnology, ACS Applied Polymer Materials, Journal of Physics D Applied Physics and Nanotechnology.
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.