Adrian T. K. Tan
- Artificial Intelligence top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Astronomy and Astrophysics top 10%
- Geophysics
- Computational Theory and Mathematics top 10%
- Co-authors
- Garnet Kin‐Lic ChanAustin J. MinnichErika YeFernando G. S. L. BrandãoMário MottaChong SunMatthew J. O’RourkePunyawi Jamjareegulgarn
- Topics
- Quantum Computing Algorithms and Architecture (5 papers)Ionosphere and magnetosphere dynamics (2 papers)Quantum Information and Cryptography (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaNature PhysicsPhysical review. A
- Partner nations
- United StatesAustraliaSingapore
In The Last Decade
Adrian T. K. Tan
7 papers receiving 539 citations
Hit Papers
Peers
Comparison fields: 5 of 30
- Artificial Intelligence 407
- Atomic and Molecular Physics, and Optics 333
- Astronomy and Astrophysics 79
- Geophysics 65
- Computational Theory and Mathematics 42
Countries citing papers authored by Adrian T. K. Tan
This map shows the geographic impact of Adrian T. K. Tan'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 Adrian T. K. Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrian T. K. Tan more than expected).
Fields of papers citing papers by Adrian T. K. Tan
This network shows the impact of papers produced by Adrian T. K. Tan. 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 Adrian T. K. Tan. The network helps show where Adrian T. K. Tan may publish in the future.
Co-authorship network of co-authors of Adrian T. K. Tan
This figure shows the co-authorship network connecting the top 25 collaborators of Adrian T. K. Tan. A scholar is included among the top collaborators of Adrian T. K. Tan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Adrian T. K. Tan. Adrian T. K. Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 10 | |
| 3 | 34 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | Determining eigenstates and thermal states on a quantum computer using quantum imaginary time evolutionbreakdown → | 422 |
| 7 | 76 | |
| 8 | 1 |
About Adrian T. K. Tan
Adrian T. K. Tan is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Atomic and Molecular Physics, and Optics, having authored 8 papers that have together received 550 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (5 papers), Ionosphere and magnetosphere dynamics (2 papers) and Quantum Information and Cryptography (2 papers). The work is most often cited by research in Artificial Intelligence (407 citations), Atomic and Molecular Physics, and Optics (333 citations) and Geophysics (65 citations). Adrian T. K. Tan has collaborated with scholars based in United States, Australia and Singapore. Frequent co-authors include Garnet Kin‐Lic Chan, Austin J. Minnich, Erika Ye, Fernando G. S. L. Brandão, Mário Motta, Chong Sun, Matthew J. O’Rourke, Punyawi Jamjareegulgarn, S. Su and Lung‐Chih Tsai. Their work appears in journals such as SHILAP Revista de lepidopterología, Nature Physics and Physical review. A.
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.