Frederick W. Wheeler
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 10%
- Media Technology top 10%
- Information Systems
- Computational Mechanics
- Co-authors
- Peter TuXiaoming LiuYan TongRichard L. WeissA. G. Amitha PereraR.T. HoctorBing YuEamon B. Barrett
- Topics
- Biometric Identification and Security (7 papers)Face and Expression Recognition (6 papers)Face recognition and analysis (6 papers)
- Journals
- Computer Vision and Image UnderstandingCurator The Museum Journal2009 IEEE Conference on Computer Vision and Pattern Recognition
- Partner nations
- United StatesIndia
In The Last Decade
Frederick W. Wheeler
18 papers receiving 246 citations
Peers
Comparison fields: 5 of 52
- Computer Vision and Pattern Recognition 211
- Signal Processing 75
- Media Technology 45
- Information Systems 31
- Computational Mechanics 18
Countries citing papers authored by Frederick W. Wheeler
This map shows the geographic impact of Frederick W. Wheeler'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 Frederick W. Wheeler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frederick W. Wheeler more than expected).
Fields of papers citing papers by Frederick W. Wheeler
This network shows the impact of papers produced by Frederick W. Wheeler. 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 Frederick W. Wheeler. The network helps show where Frederick W. Wheeler may publish in the future.
Co-authorship network of co-authors of Frederick W. Wheeler
This figure shows the co-authorship network connecting the top 25 collaborators of Frederick W. Wheeler. A scholar is included among the top collaborators of Frederick W. Wheeler 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 Frederick W. Wheeler. Frederick W. Wheeler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 11 | |
| 4 | 2 | |
| 5 | 36 | |
| 6 | 13 | |
| 7 | 18 | |
| 8 | 17 | |
| 9 | 16 | |
| 10 | 29 | |
| 11 | 2 | |
| 12 | 41 | |
| 13 | 20 | |
| 14 | 19 | |
| 15 | 0 | |
| 16 | 11 | |
| 17 | 15 | |
| 18 | 1 | |
| 19 | 15 |
About Frederick W. Wheeler
Frederick W. Wheeler is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Media Technology, having authored 19 papers that have together received 269 indexed citations. Recurring topics across this work include Biometric Identification and Security (7 papers), Face and Expression Recognition (6 papers) and Face recognition and analysis (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (211 citations), Signal Processing (75 citations) and Media Technology (45 citations). Frederick W. Wheeler has collaborated with scholars based in United States and India. Frequent co-authors include Peter Tu, Xiaoming Liu, Yan Tong, Richard L. Weiss, A. G. Amitha Perera, R.T. Hoctor, Bing Yu, Xiaoming Liu, Xiaoming Liu and Eamon B. Barrett. Their work appears in journals such as Computer Vision and Image Understanding, Curator The Museum Journal and 2009 IEEE Conference on Computer Vision and Pattern Recognition.
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.