Bruce W. Suter
- Computer Vision and Pattern Recognition top 1%
- Computer Networks and Communications top 2%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering top 10%
- Signal Processing top 2%
- Co-authors
- Matthew KabriskyMark E. OxleySteven K. RogersD.W. RuckXiang‐Gen XiaLixin ShenKyoung-Lae NohErchin Serpedin
- Topics
- Image and Signal Denoising Methods (28 papers)Digital Filter Design and Implementation (19 papers)Sparse and Compressive Sensing Techniques (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Image ProcessingIEEE Transactions on Signal Processing
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Bruce W. Suter
84 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Computer Vision and Pattern Recognition 765
- Computer Networks and Communications 514
- Artificial Intelligence 464
- Electrical and Electronic Engineering 373
- Signal Processing 364
Countries citing papers authored by Bruce W. Suter
This map shows the geographic impact of Bruce W. Suter'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 Bruce W. Suter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bruce W. Suter more than expected).
Fields of papers citing papers by Bruce W. Suter
This network shows the impact of papers produced by Bruce W. Suter. 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 Bruce W. Suter. The network helps show where Bruce W. Suter may publish in the future.
Co-authorship network of co-authors of Bruce W. Suter
This figure shows the co-authorship network connecting the top 25 collaborators of Bruce W. Suter. A scholar is included among the top collaborators of Bruce W. Suter 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 Bruce W. Suter. Bruce W. Suter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 4 | |
| 3 | 34 | |
| 4 | 9 | |
| 5 | 12 | |
| 6 | 2 | |
| 7 | 23 | |
| 8 | 188 | |
| 9 | 37 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | 6 | |
| 13 | 5 | |
| 14 | 1 | |
| 15 | 24 | |
| 16 | 3 | |
| 17 | 7 | |
| 18 | 10 | |
| 19 | The multilayer perceptron as an approximation to a Bayes optimal discriminant functionbreakdown → | 562 |
| 20 | 2 |
About Bruce W. Suter
Bruce W. Suter is a scholar working on Signal Processing, Applied Mathematics and Computational Mathematics, having authored 96 papers that have together received 2.0k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (28 papers), Digital Filter Design and Implementation (19 papers) and Sparse and Compressive Sensing Techniques (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (765 citations), Signal Processing (364 citations) and Media Technology (217 citations). Bruce W. Suter has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Matthew Kabrisky, Mark E. Oxley, Steven K. Rogers, D.W. Ruck, Xiang‐Gen Xia, Lixin Shen, Kyoung-Lae Noh, Erchin Serpedin, Qasim M. Chaudhari and Douglas P. Hardin. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.
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.