Garnet Kin‐Lic Chan
- Atomic and Molecular Physics, and Optics top 0.1%
- Materials Chemistry top 2%
- Condensed Matter Physics top 0.5%
- Artificial Intelligence top 0.5%
- Spectroscopy top 0.5%
- Co-authors
- Sandeep SharmaTakeshi YanaiGerald KniziaQiming SunMartin Head‐GordonEric NeuscammanJun YangZhendong Li
- Topics
- Advanced Chemical Physics Studies (70 papers)Quantum many-body systems (48 papers)Spectroscopy and Quantum Chemical Studies (40 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Garnet Kin‐Lic Chan
168 papers receiving 11.4k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Atomic and Molecular Physics, and Optics 8.6k
- Materials Chemistry 2.5k
- Condensed Matter Physics 1.9k
- Artificial Intelligence 1.9k
- Spectroscopy 1.6k
Countries citing papers authored by Garnet Kin‐Lic Chan
This map shows the geographic impact of Garnet Kin‐Lic Chan'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 Garnet Kin‐Lic Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Garnet Kin‐Lic Chan more than expected).
Fields of papers citing papers by Garnet Kin‐Lic Chan
This network shows the impact of papers produced by Garnet Kin‐Lic Chan. 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 Garnet Kin‐Lic Chan. The network helps show where Garnet Kin‐Lic Chan may publish in the future.
Co-authorship network of co-authors of Garnet Kin‐Lic Chan
This figure shows the co-authorship network connecting the top 25 collaborators of Garnet Kin‐Lic Chan. A scholar is included among the top collaborators of Garnet Kin‐Lic Chan 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 Garnet Kin‐Lic Chan. Garnet Kin‐Lic Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 4 | |
| 4 | 10 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 16 | |
| 8 | 4 | |
| 9 | 10 | |
| 10 | 6 | |
| 11 | 6 | |
| 12 | 40 | |
| 13 | 4 | |
| 14 | 6 | |
| 15 | 60 | |
| 16 | Evaluating the evidence for exponential quantum advantage in ground-state quantum chemistrybreakdown → | 143 |
| 17 | 2 | |
| 18 | 19 | |
| 19 | 61 | |
| 20 | General approach to numerical analysis of nodal equations | 1 |
About Garnet Kin‐Lic Chan
Garnet Kin‐Lic Chan is a scholar working on Computational Mathematics, Atomic and Molecular Physics, and Optics and Condensed Matter Physics, having authored 169 papers that have together received 11.6k indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (70 papers), Quantum many-body systems (48 papers) and Spectroscopy and Quantum Chemical Studies (40 papers). The work is most often cited by research in Computational Mathematics (216 citations), Atomic and Molecular Physics, and Optics (8.6k citations) and Condensed Matter Physics (1.9k citations). Garnet Kin‐Lic Chan has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Sandeep Sharma, Takeshi Yanai, Gerald Knizia, Qiming Sun, Martin Head‐Gordon, Eric Neuscamman, Jun Yang, Zhendong Li, James McClain and Yuki Kurashige. Their work appears in journals such as Science, Journal of the American Chemical Society and Physical Review Letters.
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.