Michael S. Brown
- Computer Vision and Pattern Recognition top 0.5%
- Media Technology top 0.5%
- Atomic and Molecular Physics, and Optics top 5%
- Aerospace Engineering top 5%
- Human-Computer Interaction top 1%
- Co-authors
- Yu‐Wing TaiTat-Jun ChinDavid SuterJulio H. ZaragozaRuigang YangJaesik ParkIn-So KweonHyeongwoo Kim
- Topics
- Advanced Vision and Imaging (23 papers)Image Enhancement Techniques (20 papers)Spectroscopy and Laser Applications (17 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignMedia Technology
- Partner nations
- United StatesSingaporeCanada
In The Last Decade
Michael S. Brown
124 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Computer Vision and Pattern Recognition 2.0k
- Media Technology 734
- Atomic and Molecular Physics, and Optics 463
- Aerospace Engineering 358
- Human-Computer Interaction 333
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 | 2 | |
| 3 | 34 | |
| 4 | 6 | |
| 5 | Sensor-Independent Illumination Estimation for DNN Models. | 7 |
| 6 | 99 | |
| 7 | 17 | |
| 8 | 199 | |
| 9 | 67 | |
| 10 | 2 | |
| 11 | 107 | |
| 12 | 2 | |
| 13 | 80 | |
| 14 | Proceedings of the 5th ACM/IEEE International Workshop on Projector camera systems | 2 |
| 15 | 63 | |
| 16 | Doing Adventure Education the 'Right' Way | 1 |
| 17 | 17 | |
| 18 | 40 | |
| 19 | 1 | |
| 20 | 19 |
About Michael S. Brown
Michael S. Brown is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 129 papers that have together received 3.6k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (23 papers), Image Enhancement Techniques (20 papers) and Spectroscopy and Laser Applications (17 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.0k citations), Computer Graphics and Computer-Aided Design (303 citations) and Media Technology (734 citations). Michael S. Brown has collaborated with scholars based in United States, Singapore and Canada. Frequent co-authors include Yu‐Wing Tai, Tat-Jun Chin, David Suter, Julio H. Zaragoza, Ruigang Yang, Jaesik Park, In-So Kweon, Hyeongwoo Kim, W. Brent Seales and Joseph L. Goldstein. Their work appears in journals such as New England Journal of Medicine, Journal of Biological Chemistry and PLoS ONE.
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.