Brandon Haynes
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- Data Management and Algorithms 4
- Video Coding and Compression Technologies 3
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- Video Analysis and Summarization 4
- Advanced Image and Video Retrieval Techniques 4
- Multimodal Machine Learning Applications 4
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- Advanced Database Systems and Queries 9
- Advanced Data Storage Technologies 8
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- Scientific Computing and Data Management 4
- Co-authors
- Magdalena BałazińskaAlvin CheungSarah K. HoltThomas J. WalshLuís CezeBen DaviesEugene F. FuchsKevin Ostrowski
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Brandon Haynes
21 papers receiving 212 citations
Peers
Comparison fields: 5 of 49
- Reproductive Medicine 41
- Signal Processing 40
- Computer Vision and Pattern Recognition 72
- Computer Networks and Communications 69
- Information Systems and Management 19
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
The 25 scholars most cited alongside Brandon Haynes, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 12 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 6 | |
| 9 | 2022 | 1 | |
| 10 | Magpie: Python at Speed and Scale using Cloud Backends. | 2021 | 9 |
| 11 | 2021 | 2 | |
| 12 | 2021 | 3 | |
| 13 | 2021 | 10 | |
| 14 | VisualWorldDB: A DBMS for the Visual World. | 2020 | 5 |
| 15 | 2019 | 7 | |
| 16 | 2018 | 60 | |
| 17 | 2018 | 14 | |
| 18 | The Myria Big Data Management and Analytics System and Cloud Services. | 2017 | 31 |
| 19 | 2016 | 16 | |
| 20 | 2016 | 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), Video Analysis and Summarization (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Multimodal Machine Learning Applications (4 papers), Data Management and Algorithms (4 papers), Scientific Computing and Data Management (4 papers) and Video Coding and Compression Technologies (3 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.