Grant Salton
- Atomic and Molecular Physics, and Optics top 10%
- Artificial Intelligence top 10%
- Statistical and Nonlinear Physics top 5%
- Astronomy and Astrophysics top 10%
- Nuclear and High Energy Physics
- Co-authors
- Nicolas C. MenicucciRobert B. MannMichael WalterBrian SwingleSepehr NezamiHrant GharibyanStefan LeichenauerLeonard Susskind
- Topics
- Quantum Computing Algorithms and Architecture (7 papers)Quantum Mechanics and Applications (5 papers)Quantum Information and Cryptography (5 papers)
- Cited by
- Statistical and Nonlinear PhysicsAtomic and Molecular Physics, and OpticsArtificial Intelligence
- Journals
- SHILAP Revista de lepidopterologíaNew Journal of PhysicsPhysical review. D
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Grant Salton
12 papers receiving 311 citations
Peers
Comparison fields: 5 of 27
- Atomic and Molecular Physics, and Optics 228
- Artificial Intelligence 147
- Statistical and Nonlinear Physics 95
- Astronomy and Astrophysics 65
- Nuclear and High Energy Physics 50
Countries citing papers authored by Grant Salton
This map shows the geographic impact of Grant Salton'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 Grant Salton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grant Salton more than expected).
Fields of papers citing papers by Grant Salton
This network shows the impact of papers produced by Grant Salton. 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 Grant Salton. The network helps show where Grant Salton may publish in the future.
Co-authorship network of co-authors of Grant Salton
This figure shows the co-authorship network connecting the top 25 collaborators of Grant Salton. A scholar is included among the top collaborators of Grant Salton 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 Grant Salton. Grant Salton 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 | 2 | |
| 3 | 15 | |
| 4 | 0 | |
| 5 | 15 | |
| 6 | 31 | |
| 7 | 6 | |
| 8 | 41 | |
| 9 | 8 | |
| 10 | 16 | |
| 11 | 10 | |
| 12 | 17 | |
| 13 | 11 | |
| 14 | 141 |
About Grant Salton
Grant Salton is a scholar working on Artificial Intelligence, Nuclear and High Energy Physics and Atomic and Molecular Physics, and Optics, having authored 14 papers that have together received 313 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (7 papers), Quantum Mechanics and Applications (5 papers) and Quantum Information and Cryptography (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (95 citations), Atomic and Molecular Physics, and Optics (228 citations) and Artificial Intelligence (147 citations). Grant Salton has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Nicolas C. Menicucci, Robert B. Mann, Michael Walter, Brian Swingle, Sepehr Nezami, Hrant Gharibyan, Stefan Leichenauer, Leonard Susskind, Henry W. Lin and Adam R. Brown. Their work appears in journals such as SHILAP Revista de lepidopterología, New Journal of Physics and Physical review. D.
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.