Brandon Haynes
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- General Health Professions
- Reproductive Medicine
- Signal Processing
- Co-authors
- Magdalena BałazińskaAlvin CheungSarah K. HoltThomas J. WalshLuís CezeBen DaviesEugene F. FuchsKevin Ostrowski
- Topics
- Advanced Database Systems and Queries (9 papers)Advanced Data Storage Technologies (8 papers)Video Analysis and Summarization (4 papers)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Brandon Haynes
21 papers receiving 212 citations
Peers
Comparison fields: 5 of 49
- Computer Vision and Pattern Recognition 72
- Computer Networks and Communications 69
- General Health Professions 55
- Reproductive Medicine 41
- Signal Processing 40
Countries citing papers authored by Brandon Haynes
This map shows the geographic impact of Brandon Haynes'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 Brandon Haynes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brandon Haynes more than expected).
Fields of papers citing papers by Brandon Haynes
This network shows the impact of papers produced by Brandon Haynes. 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 Brandon Haynes. The network helps show where Brandon Haynes may publish in the future.
Co-authorship network of co-authors of Brandon Haynes
This figure shows the co-authorship network connecting the top 25 collaborators of Brandon Haynes. A scholar is included among the top collaborators of Brandon Haynes 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 Brandon Haynes. Brandon Haynes 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 | 1 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 12 | |
| 7 | 0 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | Magpie: Python at Speed and Scale using Cloud Backends. | 9 |
| 11 | 2 | |
| 12 | 3 | |
| 13 | 10 | |
| 14 | VisualWorldDB: A DBMS for the Visual World. | 5 |
| 15 | 7 | |
| 16 | 60 | |
| 17 | 14 | |
| 18 | The Myria Big Data Management and Analytics System and Cloud Services. | 31 |
| 19 | 16 | |
| 20 | 13 |
About Brandon Haynes
Brandon Haynes is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Information Systems and Management, having authored 23 papers that have together received 218 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (9 papers), Advanced Data Storage Technologies (8 papers) and Video Analysis and Summarization (4 papers). The work is most often cited by research in Reproductive Medicine (41 citations), Signal Processing (40 citations) and Computer Vision and Pattern Recognition (72 citations). Brandon Haynes has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Magdalena Bałazińska, Alvin Cheung, Sarah K. Holt, Thomas J. Walsh, Luís Ceze, Ben Davies, Eugene F. Fuchs, Kevin Ostrowski, Matteo Interlandi and Ryan S. Hsi. Their work appears in journals such as Urology, Proceedings of the VLDB Endowment and The VLDB Journal.
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.