J. Vaisey
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Co-authors
- A. GershoK. P. SubbalakshmiK. ZegerM. Stella AtkinsMichel BarlaudMarc AntoniniAlireza EntezariTorsten Möller
- Topics
- Advanced Data Compression Techniques (16 papers)Image and Signal Denoising Methods (12 papers)Algorithms and Data Compression (5 papers)
- Journals
- IEEE Transactions on Image ProcessingIEEE Transactions on Signal ProcessingIEEE Transactions on Communications
- Partner nations
- CanadaUnited States
In The Last Decade
J. Vaisey
23 papers receiving 406 citations
Peers
Comparison fields: 5 of 35
- Computer Vision and Pattern Recognition 362
- Signal Processing 169
- Artificial Intelligence 99
- Electrical and Electronic Engineering 66
- Computer Networks and Communications 65
Countries citing papers authored by J. Vaisey
This map shows the geographic impact of J. Vaisey'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 J. Vaisey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Vaisey more than expected).
Fields of papers citing papers by J. Vaisey
This network shows the impact of papers produced by J. Vaisey. 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 J. Vaisey. The network helps show where J. Vaisey may publish in the future.
Co-authorship network of co-authors of J. Vaisey
This figure shows the co-authorship network connecting the top 25 collaborators of J. Vaisey. A scholar is included among the top collaborators of J. Vaisey 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 J. Vaisey. J. Vaisey 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 | 24 | |
| 3 | 16 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 9 | |
| 7 | 19 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 8 | |
| 11 | 32 | |
| 12 | 32 | |
| 13 | 3 | |
| 14 | 15 | |
| 15 | 18 | |
| 16 | 4 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 150 | |
| 20 | M9.6 SIMULATED ANNEALING AND CODEBOOK DESIGN | 1 |
About J. Vaisey
J. Vaisey is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Graphics and Computer-Aided Design, having authored 24 papers that have together received 442 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (16 papers), Image and Signal Denoising Methods (12 papers) and Algorithms and Data Compression (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (362 citations), Signal Processing (169 citations) and Artificial Intelligence (99 citations). J. Vaisey has collaborated with scholars based in Canada and United States. Frequent co-authors include A. Gersho, K. P. Subbalakshmi, K. Zeger, M. Stella Atkins, Michel Barlaud, Marc Antonini, Alireza Entezari, Torsten Möller, Mark Anderson and Shahram Payandeh. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing and IEEE Transactions on Communications.
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.