F. T. Tabesh
Impact in
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- Advanced Thermodynamics and Statistical Mechanics
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- Quantum and electron transport phenomena
- Quantum many-body systems
- Quantum Mechanics and Applications
- Spectroscopy and Quantum Chemical Studies
Papers in
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- Quantum and electron transport phenomena 4
- Quantum Mechanics and Applications 3
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- Quantum Information and Cryptography 6
- Quantum Computing Algorithms and Architecture 4
- Co-authors
- S. Salimi (5 shared papers)F. H. Kamin (3 shared papers)Alan C. Santos (2 shared papers)Mehdi Abdi (4 shared papers)I. Abdolhosseini Sarsari (1 shared paper)Martin B. Plenio (1 shared paper)Julen S. Pedernales (1 shared paper)Arsalan Hashemi (1 shared paper)
In The Last Decade
F. T. Tabesh
7 papers receiving 266 citations
Peers
Comparison fields: 5 of 17
- Statistical and Nonlinear Physics 139
- Atomic and Molecular Physics, and Optics 197
- Artificial Intelligence 193
- Automotive Engineering 6
- Biophysics 2
Countries citing papers authored by F. T. Tabesh
This map shows the geographic impact of F. T. Tabesh'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 F. T. Tabesh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. T. Tabesh more than expected).
Fields of papers citing papers by F. T. Tabesh
This network shows the impact of papers produced by F. T. Tabesh. 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 F. T. Tabesh. The network helps show where F. T. Tabesh may publish in the future.
Co-authors
The 11 scholars most cited alongside F. T. Tabesh, 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 | 105 | |
| 2 | 2020 | 81 | |
| 3 | 2020 | 67 | |
| 4 | 2023 | 7 | |
| 5 | 2021 | 5 | |
| 6 | 2025 | 1 | |
| 7 | 2017 | 1 | |
| 8 | 2025 | 0 | |
| 9 | 2018 | 0 |
About F. T. Tabesh
F. T. Tabesh is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Statistical and Nonlinear Physics, Automotive Engineering and Cognitive Neuroscience, having authored 9 papers that have together received 267 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (6 papers), Quantum Computing Algorithms and Architecture (4 papers), Quantum and electron transport phenomena (4 papers), Quantum Mechanics and Applications (3 papers), Advanced Thermodynamics and Statistical Mechanics (2 papers), Electron Spin Resonance Studies (1 paper), Advanced Battery Technologies Research (1 paper) and Graphene research and applications (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (139 citations), Atomic and Molecular Physics, and Optics (197 citations), Artificial Intelligence (193 citations), Automotive Engineering (6 citations) and Biophysics (2 citations). F. T. Tabesh has collaborated with scholars based in Iran, Finland and Germany. Frequent co-authors include S. Salimi, F. H. Kamin, Alan C. Santos, Mehdi Abdi, I. Abdolhosseini Sarsari, Martin B. Plenio, Julen S. Pedernales, Arsalan Hashemi, Sabrina Maniscalco and Saleh Rahimi-Keshari. Their work appears in journals such as Physical review. A, Quantum Information Processing, Physical review. E, New Journal of Physics and Physical review. 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.