Michael S. Brown
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 10%
- Media Technology top 5%
- Computer Graphics and Computer-Aided Design top 10%
- Atomic and Molecular Physics, and Optics
- Co-authors
- Quoc-Huy TranDavid SuterJulio H. ZaragozaTat-Jun ChinYu‐Wing TaiHao DuStephen LinYi Huang
- Topics
- Advanced Vision and Imaging (3 papers)Robotics and Sensor-Based Localization (2 papers)Digital Media Forensic Detection (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceNational University of Singapore
- Partner nations
- SingaporeUnited StatesAustralia
In The Last Decade
Michael S. Brown
7 papers receiving 395 citations
Hit Papers
Peers
Comparison fields: 5 of 31
- Computer Vision and Pattern Recognition 395
- Aerospace Engineering 156
- Media Technology 92
- Computer Graphics and Computer-Aided Design 14
- Atomic and Molecular Physics, and Optics 10
Countries citing papers authored by Michael S. Brown
This map shows the geographic impact of Michael S. 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 Michael S. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael S. Brown more than expected).
Fields of papers citing papers by Michael S. Brown
This network shows the impact of papers produced by Michael S. 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 Michael S. Brown. The network helps show where Michael S. Brown may publish in the future.
Co-authorship network of co-authors of Michael S. Brown
This figure shows the co-authorship network connecting the top 25 collaborators of Michael S. Brown. A scholar is included among the top collaborators of Michael S. 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 Michael S. Brown. Michael S. 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 | As-Projective-As-Possible Image Stitching with Moving DLTbreakdown → | 278 |
| 4 | 84 | |
| 5 | 16 | |
| 6 | 25 | |
| 7 | 3 |
About Michael S. Brown
Michael S. Brown is a scholar working on Computer Vision and Pattern Recognition, Development and Media Technology, having authored 7 papers that have together received 410 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (3 papers), Robotics and Sensor-Based Localization (2 papers) and Digital Media Forensic Detection (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (395 citations), Media Technology (92 citations) and Aerospace Engineering (156 citations). Michael S. Brown has collaborated with scholars based in Singapore, United States and Australia. Frequent co-authors include Quoc-Huy Tran, David Suter, Julio H. Zaragoza, Tat-Jun Chin, Yu‐Wing Tai, Hao Du, Stephen Lin, Yi Huang, Chew Lim Tan and Chi–Keung Tang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and National University of Singapore.
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.