S. Charles Brubaker
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Media Technology
- Computational Mechanics
- Co-authors
- Jianxin WuJames M. RehgMatthew D. MullinSantosh VempalaKatherine H. IngramFrançois LavioletteMario MarchandJohn Shawe‐Taylor
- Topics
- Bayesian Methods and Mixture Models (3 papers)Machine Learning and Algorithms (3 papers)Face and Expression Recognition (3 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceInternational Journal of Computer VisionJournal of Machine Learning Research
- Partner nations
- United States
In The Last Decade
S. Charles Brubaker
6 papers receiving 276 citations
Peers
Comparison fields: 5 of 44
- Computer Vision and Pattern Recognition 224
- Artificial Intelligence 112
- Signal Processing 50
- Media Technology 16
- Computational Mechanics 13
Countries citing papers authored by S. Charles Brubaker
This map shows the geographic impact of S. Charles Brubaker'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 S. Charles Brubaker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Charles Brubaker more than expected).
Fields of papers citing papers by S. Charles Brubaker
This network shows the impact of papers produced by S. Charles Brubaker. 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 S. Charles Brubaker. The network helps show where S. Charles Brubaker may publish in the future.
Co-authorship network of co-authors of S. Charles Brubaker
This figure shows the co-authorship network connecting the top 25 collaborators of S. Charles Brubaker. A scholar is included among the top collaborators of S. Charles Brubaker 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 S. Charles Brubaker. S. Charles Brubaker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 5 | |
| 4 | 149 | |
| 5 | 38 | |
| 6 | 2 | |
| 7 | 99 |
About S. Charles Brubaker
S. Charles Brubaker is a scholar working on Artificial Intelligence, Signal Processing and Biophysics, having authored 7 papers that have together received 300 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (3 papers), Machine Learning and Algorithms (3 papers) and Face and Expression Recognition (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (224 citations), Computational Mathematics (5 citations) and Signal Processing (50 citations). S. Charles Brubaker has collaborated with scholars based in United States. Frequent co-authors include Jianxin Wu, James M. Rehg, Matthew D. Mullin, Santosh Vempala, Katherine H. Ingram, François Laviolette, Mario Marchand, John Shawe‐Taylor and Maria Valero. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Journal of Machine Learning Research.
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.