Nicholas M. Ball
- Astronomy and Astrophysics top 5%
- Instrumentation top 5%
- Ecology
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Robert J. BrunnerDavid TchengAdam D. MyersNatalie E. StrandStacey AlbertsRóbert BrunnerJ. LovedayOsamu Nakamura
- Topics
- Gamma-ray bursts and supernovae (4 papers)Astronomy and Astrophysical Research (4 papers)Galaxies: Formation, Evolution, Phenomena (4 papers)
- Journals
- The Astrophysical JournalMonthly Notices of the Royal Astronomical SocietyInternational Journal of Modern Physics D
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Nicholas M. Ball
8 papers receiving 438 citations
Peers
Comparison fields: 5 of 75
- Astronomy and Astrophysics 297
- Instrumentation 113
- Ecology 98
- Artificial Intelligence 95
- Computer Vision and Pattern Recognition 72
Countries citing papers authored by Nicholas M. Ball
This map shows the geographic impact of Nicholas M. Ball'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 Nicholas M. Ball with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas M. Ball more than expected).
Fields of papers citing papers by Nicholas M. Ball
This network shows the impact of papers produced by Nicholas M. Ball. 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 Nicholas M. Ball. The network helps show where Nicholas M. Ball may publish in the future.
Co-authorship network of co-authors of Nicholas M. Ball
This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas M. Ball. A scholar is included among the top collaborators of Nicholas M. Ball 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 Nicholas M. Ball. Nicholas M. Ball is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The Next Generation Virgo Cluster Survey. XV. The photometric estimation for background sources | 14 |
| 2 | CANFAR + Skytree: Mining Massive Datasets as an Essential Part of the Future of Astronomy | 1 |
| 3 | CANFAR+Skytree: A Cloud Computing and Data Mining System for Astronomy | 1 |
| 4 | Astroinformatics, Cloud Computing, and New Science at the Canadian Astronomy Data Centre | 0 |
| 5 | 212 | |
| 6 | 56 | |
| 7 | 36 | |
| 8 | 58 | |
| 9 | 83 |
About Nicholas M. Ball
Nicholas M. Ball is a scholar working on Instrumentation, Astronomy and Astrophysics and Statistics and Probability, having authored 9 papers that have together received 461 indexed citations. Recurring topics across this work include Gamma-ray bursts and supernovae (4 papers), Astronomy and Astrophysical Research (4 papers) and Galaxies: Formation, Evolution, Phenomena (4 papers). The work is most often cited by research in Instrumentation (113 citations), Astronomy and Astrophysics (297 citations) and Statistics and Probability (36 citations). Nicholas M. Ball has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Robert J. Brunner, David Tcheng, Adam D. Myers, Natalie E. Strand, Stacey Alberts, Róbert Brunner, J. Loveday, Osamu Nakamura, Sadanori Okamura and J. Brinkmann. Their work appears in journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and International Journal of Modern Physics 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.