James Lee-Thorp
Impact in
- Health Informatics top 10%
-
- Topological Materials and Phenomena
- Photonic Crystals and Applications
Papers in
-
- Topological Materials and Phenomena 6
- Photonic Crystals and Applications 3
-
- Topic Modeling 3
- Natural Language Processing Techniques 3
- Co-authors
- Michael I. WeinsteinCharles FeffermanJoshua AinslieYury ZemlyanskiyMichiel de JongYi ZhuRobert V. KohnAlexander G. Shtukenberg
- Journals
- Crystal Growth & Design (2 papers)Communications on Pure and Applied Mathematics (1 paper)Archive for Rational Mechanics and Analysis (1 paper)Physical review. A (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
James Lee-Thorp
14 papers receiving 309 citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Health Informatics 13
- Atomic and Molecular Physics, and Optics 148
- Mathematical Physics 41
- Statistical and Nonlinear Physics 38
- Artificial Intelligence 90
Countries citing papers authored by James Lee-Thorp
This map shows the geographic impact of James Lee-Thorp'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 James Lee-Thorp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Lee-Thorp more than expected).
Fields of papers citing papers by James Lee-Thorp
This network shows the impact of papers produced by James Lee-Thorp. 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 James Lee-Thorp. The network helps show where James Lee-Thorp may publish in the future.
Co-authorship network
The 25 scholars most cited alongside James Lee-Thorp, 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 | 2024 | 2 | |
| 2 | GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints Hit paper breakdown → | 2023 | 124 |
| 3 | 2023 | 18 | |
| 4 | 2022 | 2 | |
| 5 | 2020 | 6 | |
| 6 | 2018 | 40 | |
| 7 | 2017 | 13 | |
| 8 | 2017 | 45 | |
| 9 | 2016 | 3 | |
| 10 | 2016 | 2 | |
| 11 | 2016 | 13 | |
| 12 | 2016 | 1 | |
| 13 | 2016 | 13 | |
| 14 | 2014 | 50 |
About James Lee-Thorp
James Lee-Thorp is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Materials Chemistry, Geometry and Topology and Atmospheric Science, having authored 14 papers that have together received 332 indexed citations. Recurring topics across this work include Topological Materials and Phenomena (6 papers), Graphene research and applications (4 papers), Photonic and Optical Devices (3 papers), Photonic Crystals and Applications (3 papers), Topic Modeling (3 papers), Natural Language Processing Techniques (3 papers), Crystallization and Solubility Studies (2 papers) and nanoparticles nucleation surface interactions (2 papers). The work is most often cited by research in Health Informatics (13 citations), Atomic and Molecular Physics, and Optics (148 citations), Mathematical Physics (41 citations), Statistical and Nonlinear Physics (38 citations) and Artificial Intelligence (90 citations). James Lee-Thorp has collaborated with scholars based in United States and China. Frequent co-authors include Michael I. Weinstein, Charles Fefferman, Joshua Ainslie, Yury Zemlyanskiy, Michiel de Jong, Yi Zhu, Robert V. Kohn, Alexander G. Shtukenberg, Jun Yang and Yun-Hsuan Sung. Their work appears in journals such as Crystal Growth & Design, Communications on Pure and Applied Mathematics, Archive for Rational Mechanics and Analysis, Physical review. A and Proceedings of the National Academy of Sciences.
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.