V. De Witte
Impact in
- Media Technology top 2%
- Advanced Image Fusion Techniques
- Remote-Sensing Image Classification
- Image Processing Techniques and Applications
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- Image and Signal Denoising Methods
- Image Enhancement Techniques
- Advanced Image Processing Techniques
Papers in
-
- Image and Signal Denoising Methods 6
- Image Retrieval and Classification Techniques 3
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- Remote-Sensing Image Classification 4
- Advanced Image Fusion Techniques 4
- Co-authors
- Etienne E. Kerre (7 shared papers)Stefan Schulte (4 shared papers)Mike Nachtegael (9 shared papers)Dietrich Van der Weken (9 shared papers)Stefan Schulte (6 shared papers)E.E. Kerre (2 shared papers)Wilfried Philips (2 shared papers)Alessandro Ledda (1 shared paper)
- Journals
- IEEE Transactions on Image Processing (3 papers)Journal of Intelligent & Fuzzy Systems (2 papers)Lecture notes in computer science (1 paper)Ghent University Academic Bibliography (Ghent University) (4 papers)
- Partner nations
- Belgium
In The Last Decade
V. De Witte
11 papers receiving 396 citations
Peers
Comparison fields: 5 of 47
- Media Technology 267
- Computer Vision and Pattern Recognition 396
- Signal Processing 69
- Analytical Chemistry 21
- Artificial Intelligence 59
Countries citing papers authored by V. De Witte
This map shows the geographic impact of V. De Witte'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 V. De Witte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. De Witte more than expected).
Fields of papers citing papers by V. De Witte
This network shows the impact of papers produced by V. De Witte. 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 V. De Witte. The network helps show where V. De Witte may publish in the future.
Co-authors
The 11 scholars most cited alongside V. De Witte, 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 | 2006 | 208 | |
| 2 | 2006 | 90 | |
| 3 | 2007 | 72 | |
| 4 | 2005 | 21 | |
| 5 | 2006 | 18 | |
| 6 | 2005 | 17 | |
| 7 | 2007 | 15 | |
| 8 | 2011 | 2 | |
| 9 | 2006 | 1 | |
| 10 | 2005 | 1 | |
| 11 | 2005 | 1 | |
| 12 | 2005 | 0 |
About V. De Witte
V. De Witte is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Signal Processing and Management Science and Operations Research, having authored 12 papers that have together received 446 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (6 papers), Remote-Sensing Image Classification (4 papers), Advanced Image Fusion Techniques (4 papers), Image Retrieval and Classification Techniques (3 papers), Fuzzy Systems and Optimization (2 papers), Multi-Criteria Decision Making (2 papers), Neural Networks and Applications (2 papers) and Blind Source Separation Techniques (2 papers). The work is most often cited by research in Media Technology (267 citations), Computer Vision and Pattern Recognition (396 citations), Signal Processing (69 citations), Analytical Chemistry (21 citations) and Artificial Intelligence (59 citations). V. De Witte has collaborated with scholars based in Belgium. Frequent co-authors include Etienne E. Kerre, Stefan Schulte, Mike Nachtegael, Dietrich Van der Weken, Stefan Schulte, E.E. Kerre, Wilfried Philips, Alessandro Ledda, Hiêp Luong and Paul Scheunders. Their work appears in journals such as IEEE Transactions on Image Processing, Journal of Intelligent & Fuzzy Systems, Lecture notes in computer science and Ghent University Academic Bibliography (Ghent University).
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.