Chad E. Fogg
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Computer Networks and Communications
- Hardware and Architecture top 10%
- Electrical and Electronic Engineering
- Co-authors
- William B. PennebakerDidier J. LeGallAndrew SegallAjay LuthraYuwen HeXiang LiÉdouard FrançoisMichael Elad
- Topics
- Video Coding and Compression Technologies (5 papers)Advanced Vision and Imaging (3 papers)Advanced Data Compression Techniques (3 papers)
- Journals
- IEEE Transactions on Circuits and Systems for Video TechnologyDigital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B))Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Chad E. Fogg
6 papers receiving 284 citations
Peers
Comparison fields: 5 of 26
- Computer Vision and Pattern Recognition 231
- Signal Processing 167
- Computer Networks and Communications 52
- Hardware and Architecture 30
- Electrical and Electronic Engineering 25
Countries citing papers authored by Chad E. Fogg
This map shows the geographic impact of Chad E. Fogg'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 Chad E. Fogg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chad E. Fogg more than expected).
Fields of papers citing papers by Chad E. Fogg
This network shows the impact of papers produced by Chad E. Fogg. 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 Chad E. Fogg. The network helps show where Chad E. Fogg may publish in the future.
Co-authorship network of co-authors of Chad E. Fogg
This figure shows the co-authorship network connecting the top 25 collaborators of Chad E. Fogg. A scholar is included among the top collaborators of Chad E. Fogg 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 Chad E. Fogg. Chad E. Fogg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 41 | |
| 2 | 10 | |
| 3 | 162 | |
| 4 | 67 | |
| 5 | 1 | |
| 6 | 8 |
About Chad E. Fogg
Chad E. Fogg is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 6 papers that have together received 289 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (5 papers), Advanced Vision and Imaging (3 papers) and Advanced Data Compression Techniques (3 papers). The work is most often cited by research in Signal Processing (167 citations), Computer Vision and Pattern Recognition (231 citations) and Hardware and Architecture (30 citations). Chad E. Fogg has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include William B. Pennebaker, Didier J. LeGall, Andrew Segall, Ajay Luthra, Yuwen He, Xiang Li, Édouard François, Michael Elad, Peyman Milanfar and P. Au. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.