Areeya Chantasri
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- Advanced Thermodynamics and Statistical Mechanics 4
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- Quantum Mechanics and Applications 16
- Spectroscopy and Quantum Chemical Studies 3
- Quantum optics and atomic interactions 2
- Mechanical and Optical Resonators 1
- Artificial Intelligence top 5%
- Quantum Information and Cryptography 19
- Quantum Computing Algorithms and Architecture 10
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- Low-power high-performance VLSI design 1
- Co-authors
- Andrew N. JordanJustin DresselIrfan SiddiqiSteven WeberKater MurchHoward M. WisemanAlexander N. KorotkovLuis Pedro García-Pintos
- Cited by
- Statistical and Nonlinear PhysicsAtomic and Molecular Physics, and OpticsArtificial Intelligence
- Partner nations
- AustraliaUnited StatesThailand
In The Last Decade
Areeya Chantasri
18 papers receiving 343 citations
Peers
Comparison fields: 5 of 33
- Statistical and Nonlinear Physics 139
- Atomic and Molecular Physics, and Optics 321
- Artificial Intelligence 270
- Structural Biology 1
- Computer Networks and Communications 7
Countries citing papers authored by Areeya Chantasri
This map shows the geographic impact of Areeya Chantasri'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 Areeya Chantasri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Areeya Chantasri more than expected).
Fields of papers citing papers by Areeya Chantasri
This network shows the impact of papers produced by Areeya Chantasri. 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 Areeya Chantasri. The network helps show where Areeya Chantasri may publish in the future.
Co-authorship network
The 16 scholars most cited alongside Areeya Chantasri, 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 | 2026 | 0 | |
| 2 | 2023 | 5 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 11 | |
| 5 | 2021 | 2 | |
| 6 | 2021 | 2 | |
| 7 | 2021 | 1 | |
| 8 | 2021 | 1 | |
| 9 | 2019 | 7 | |
| 10 | 2019 | 11 | |
| 11 | 2019 | 2 | |
| 12 | 2018 | 16 | |
| 13 | 2017 | 24 | |
| 14 | 2017 | 10 | |
| 15 | 2017 | 17 | |
| 16 | 2017 | 15 | |
| 17 | 2015 | 43 | |
| 18 | 2014 | 129 | |
| 19 | 2014 | 3 | |
| 20 | 2013 | 49 |
About Areeya Chantasri
Areeya Chantasri is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics, having authored 20 papers that have together received 348 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (19 papers), Quantum Mechanics and Applications (16 papers), Quantum Computing Algorithms and Architecture (10 papers), Advanced Thermodynamics and Statistical Mechanics (4 papers), Spectroscopy and Quantum Chemical Studies (3 papers), Quantum optics and atomic interactions (2 papers), Low-power high-performance VLSI design (1 paper) and Mechanical and Optical Resonators (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (139 citations), Atomic and Molecular Physics, and Optics (321 citations) and Artificial Intelligence (270 citations). Areeya Chantasri has collaborated with scholars based in Australia, United States and Thailand. Frequent co-authors include Andrew N. Jordan, Justin Dressel, Irfan Siddiqi, Steven Weber, Kater Murch, Howard M. Wiseman, Alexander N. Korotkov, Luis Pedro García-Pintos, Hongting Song and Juan Atalaya.
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.