W. Jonker
Impact in
-
- Video Analysis and Summarization
- Advanced Steganography and Watermarking Techniques
- Advanced Image and Video Retrieval Techniques
- Signal Processing top 10%
- Music and Audio Processing
Papers in
-
- Video Analysis and Summarization 5
- Advanced Steganography and Watermarking Techniques 3
- Human Pose and Action Recognition 2
-
- Music and Audio Processing 4
- Co-authors
- Milan Petković (6 shared papers)Jean‐Paul M. G. Linnartz (1 shared paper)Vojkan Mihajlović (2 shared papers)Slobodanka Djordjević‐Kajan (1 shared paper)Pieter Hartel (2 shared papers)Geert-Jan Schrijen (1 shared paper)Yee Wei Law (1 shared paper)Ricardo Corin (1 shared paper)
- Journals
- IEEE Signal Processing Magazine (1 paper)Behavior Genetics (1 paper)Lecture notes in computer science (3 papers)TU/e Research Portal (3 papers)Data Archiving and Networked Services (DANS) (1 paper)
- Partner nations
- NetherlandsFinlandItaly
In The Last Decade
W. Jonker
15 papers receiving 252 citations
Peers
Comparison fields: 5 of 37
- Computer Vision and Pattern Recognition 206
- Signal Processing 88
- Information Systems 140
- Marketing 40
- Artificial Intelligence 73
Countries citing papers authored by W. Jonker
This map shows the geographic impact of W. Jonker'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 W. Jonker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. Jonker more than expected).
Fields of papers citing papers by W. Jonker
This network shows the impact of papers produced by W. Jonker. 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 W. Jonker. The network helps show where W. Jonker may publish in the future.
Co-authors
The 24 scholars most cited alongside W. Jonker, 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 | 2002 | 47 | |
| 2 | 2003 | 47 | |
| 3 | 2004 | 36 | |
| 4 | 2004 | 30 | |
| 5 | 2004 | 29 | |
| 6 | Secure content management in authorised domains | 2002 | 23 |
| 7 | 2004 | 20 | |
| 8 | 2008 | 16 | |
| 9 | 2006 | 13 | |
| 10 | 2015 | 11 | |
| 11 | 2003 | 6 | |
| 12 | 2004 | 5 | |
| 13 | 1998 | 5 | |
| 14 | 2008 | 4 | |
| 15 | 2014 | 2 | |
| 16 | 2002 | 2 | |
| 17 | 2000 | 1 | |
| 18 | 2002 | 1 |
About W. Jonker
W. Jonker is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Computer Networks and Communications, Information Systems and Artificial Intelligence, having authored 18 papers that have together received 298 indexed citations. Recurring topics across this work include Video Analysis and Summarization (5 papers), Digital Rights Management and Security (4 papers), Music and Audio Processing (4 papers), Advanced Data Storage Technologies (4 papers), Advanced Steganography and Watermarking Techniques (3 papers), Advanced Database Systems and Queries (2 papers), Copyright and Intellectual Property (2 papers) and Human Pose and Action Recognition (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (206 citations), Signal Processing (88 citations), Information Systems (140 citations), Marketing (40 citations) and Artificial Intelligence (73 citations). W. Jonker has collaborated with scholars based in Netherlands, Finland and Italy. Frequent co-authors include Milan Petković, Jean‐Paul M. G. Linnartz, Vojkan Mihajlović, Slobodanka Djordjević‐Kajan, Pieter Hartel, Geert-Jan Schrijen, Yee Wei Law, Ricardo Corin, Sandro Etalle and Ling Feng. Their work appears in journals such as IEEE Signal Processing Magazine, Behavior Genetics, Lecture notes in computer science, TU/e Research Portal and Data Archiving and Networked Services (DANS).
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.