E. Abreu
Impact in
- Media Technology top 1%
- Advanced Image Fusion Techniques
- Image Processing Techniques and Applications
-
- Image and Signal Denoising Methods
- Image Enhancement Techniques
- Advanced Image Processing Techniques
- Advanced Data Compression Techniques
Papers in
-
- Image and Signal Denoising Methods 6
- Image Enhancement Techniques 1
-
- Blind Source Separation Techniques 6
- Digital Filter Design and Implementation 2
- Co-authors
- S.K. Mitra (6 shared papers)Kenichi Arakawa (2 shared papers)M. Lightstone (2 shared papers)Phil Chen (1 shared paper)
- Journals
- IEEE Transactions on Signal Processing (1 paper)IEEE Transactions on Image Processing (1 paper)Medical Entomology and Zoology (1 paper)1993 IEEE International Symposium on Circuits and Systems (1 paper)Elsevier eBooks (1 paper)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
E. Abreu
9 papers receiving 541 citations
Peers
Comparison fields: 5 of 59
- Media Technology 353
- Computer Vision and Pattern Recognition 561
- Signal Processing 205
- Computational Mechanics 59
- Instrumentation 7
Countries citing papers authored by E. Abreu
This map shows the geographic impact of E. Abreu'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 E. Abreu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Abreu more than expected).
Fields of papers citing papers by E. Abreu
This network shows the impact of papers produced by E. Abreu. 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 E. Abreu. The network helps show where E. Abreu may publish in the future.
Co-authors
The 4 scholars most cited alongside E. Abreu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 497 | |
| 2 | 2002 | 74 | |
| 3 | 2001 | 25 | |
| 4 | 1997 | 23 | |
| 5 | 2002 | 8 | |
| 6 | Signal-dependent rank-ordered mean filters | 2000 | 5 |
| 7 | 2010 | 2 | |
| 8 | 2002 | 1 | |
| 9 | 2002 | 1 |
About E. Abreu
E. Abreu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Computational Mechanics, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 9 papers that have together received 636 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (6 papers), Image and Signal Denoising Methods (6 papers), Digital Filter Design and Implementation (2 papers), Advanced Wireless Communication Techniques (2 papers), Advanced Adaptive Filtering Techniques (2 papers), Wireless Communication Networks Research (1 paper), Sparse and Compressive Sensing Techniques (1 paper) and Image Enhancement Techniques (1 paper). The work is most often cited by research in Media Technology (353 citations), Computer Vision and Pattern Recognition (561 citations), Signal Processing (205 citations), Computational Mechanics (59 citations) and Instrumentation (7 citations). E. Abreu has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include S.K. Mitra, Kenichi Arakawa, M. Lightstone and Phil Chen. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Image Processing, Medical Entomology and Zoology, 1993 IEEE International Symposium on Circuits and Systems and Elsevier eBooks.
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.