Andrew Spray
- Nuclear and High Energy Physics top 5%
- Astronomy and Astrophysics top 10%
- Atomic and Molecular Physics, and Optics
- Artificial Intelligence
- Signal Processing
- Co-authors
- Maxim PerelsteinAndrew E. NobleAndreas BirkedalDavid E. MorrisseyYi CaiTirtha Sankar RayTony GherghettaAbhishek Kumar
- Topics
- Particle physics theoretical and experimental studies (11 papers)Dark Matter and Cosmic Phenomena (8 papers)Cosmology and Gravitation Theories (8 papers)
- Journals
- Journal of High Energy PhysicsPhysical review. D. Particles, fields, gravitation, and cosmology4th International Conference on Spoken Language Processing (ICSLP 1996)
- Partner nations
- AustraliaUnited StatesSouth Korea
In The Last Decade
Andrew Spray
11 papers receiving 274 citations
Peers
Comparison fields: 5 of 20
- Nuclear and High Energy Physics 269
- Astronomy and Astrophysics 161
- Atomic and Molecular Physics, and Optics 11
- Artificial Intelligence 11
- Signal Processing 6
Countries citing papers authored by Andrew Spray
This map shows the geographic impact of Andrew Spray'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 Andrew Spray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Spray more than expected).
Fields of papers citing papers by Andrew Spray
This network shows the impact of papers produced by Andrew Spray. 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 Andrew Spray. The network helps show where Andrew Spray may publish in the future.
Co-authorship network of co-authors of Andrew Spray
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Spray. A scholar is included among the top collaborators of Andrew Spray 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 Andrew Spray. Andrew Spray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 20 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 19 | |
| 6 | 34 | |
| 7 | 11 | |
| 8 | 2 | |
| 9 | 8 | |
| 10 | 27 | |
| 11 | 133 | |
| 12 | 8 |
About Andrew Spray
Andrew Spray is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 280 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (11 papers), Dark Matter and Cosmic Phenomena (8 papers) and Cosmology and Gravitation Theories (8 papers). The work is most often cited by research in Nuclear and High Energy Physics (269 citations), Astronomy and Astrophysics (161 citations) and Signal Processing (6 citations). Andrew Spray has collaborated with scholars based in Australia, United States and South Korea. Frequent co-authors include Maxim Perelstein, Andrew E. Noble, Andreas Birkedal, David E. Morrissey, Yi Cai, Tirtha Sankar Ray, Tony Gherghetta, Abhishek Kumar, Peter Cox and Aníbal D. Medina. Their work appears in journals such as Journal of High Energy Physics, Physical review. D. Particles, fields, gravitation, and cosmology and 4th International Conference on Spoken Language Processing (ICSLP 1996).
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.