Matthew Brown
- Computer Vision and Pattern Recognition top 0.5%
- Aerospace Engineering top 0.5%
- Media Technology top 2%
- Geology top 2%
- Ocean Engineering top 5%
- Co-authors
- David LoweSimon WinderCyrus K. AidunHazem AmarneChristopher Barrington‐LeighLeanne D. ChenYingli RaoSuning Wang
- Topics
- Advanced Vision and Imaging (10 papers)Advanced Image and Video Retrieval Techniques (9 papers)Musicology and Musical Analysis (5 papers)
- Journals
- Journal of the American Chemical SocietyJournal of Fluid MechanicsInternational Journal of Computer Vision
- Partner nations
- CanadaUnited StatesSwitzerland
In The Last Decade
Matthew Brown
32 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Computer Vision and Pattern Recognition 2.2k
- Aerospace Engineering 1.2k
- Media Technology 249
- Geology 164
- Ocean Engineering 133
Countries citing papers authored by Matthew Brown
This map shows the geographic impact of Matthew Brown'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 Matthew Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Brown more than expected).
Fields of papers citing papers by Matthew Brown
This network shows the impact of papers produced by Matthew Brown. 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 Matthew Brown. The network helps show where Matthew Brown may publish in the future.
Co-authorship network of co-authors of Matthew Brown
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Brown. A scholar is included among the top collaborators of Matthew Brown 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 Matthew Brown. Matthew Brown 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 | 3 | |
| 3 | Dense Nonrigid Ground Truth for Optical Flow in Real-World Scenes. | 1 |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 10 | |
| 7 | 81 | |
| 8 | 5 | |
| 9 | Is Sparsity Really Relevant for Image Classification | 1 |
| 10 | 21 | |
| 11 | 220 | |
| 12 | 9 | |
| 13 | 37 | |
| 14 | 14 | |
| 15 | 61 | |
| 16 | Multi-Scale Oriented Patches | 1 |
| 17 | 395 | |
| 18 | 0 | |
| 19 | The development of a tympanic membrane sensor for a totally implantable cochlear implant or hearing aid | 2 |
| 20 | 1 |
About Matthew Brown
Matthew Brown is a scholar working on Music, General Arts and Humanities and Computer Vision and Pattern Recognition, having authored 35 papers that have together received 2.9k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (10 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Musicology and Musical Analysis (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.2k citations), Aerospace Engineering (1.2k citations) and Geology (164 citations). Matthew Brown has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include David Lowe, Simon Winder, Cyrus K. Aidun, Hazem Amarne, Christopher Barrington‐Leigh, Leanne D. Chen, Yingli Rao, Suning Wang, D. Nistér and Nicholas J. Mosey. Their work appears in journals such as Journal of the American Chemical Society, Journal of Fluid Mechanics and International Journal of Computer Vision.
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.