W. Jonker

423 citations
18 papers · 298 · h-index 10

Impact in

Papers in

W. Jonker

15 papers receiving 252 citations

Peers

W. Jonker
Comparison fields: 5 of 37
  • Computer Vision and Pattern Recognition 206
  • Signal Processing 88
  • Information Systems 140
  • Marketing 40
  • Artificial Intelligence 73
Replace Rafael Sotelo with:
Rafael Sotelo Uruguay
John V. Cugini United States
Lejian Ren China
Michele Trevisiol Spain
Lluís Garcia Pueyo United States
Panagiotis Ilia United States
Sivaramakrishnan Natarajan United States
Xu Jiao China
Pushpendra Kumar India
Felice Antonio Merra Italy
W. Jonker relative to Rafael Sotelo Uruguay Rafael Sotelo's profile →
Citations per field
00.5×2×4×5.7×
Rafael Sotelo · 1×
Citations per year

Countries citing papers authored by W. Jonker

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with W. Jonker Line = papers co-authored together W. Jonker links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 200247
2 200347
3 200436
4 200430
5 200429
6
Secure content management in authorised domains
200223
7 200420
8 200816
9 200613
10 201511
11 20036
12 20045
13 19985
14 20084
15 20142
16 20022
17 20001
18 20021

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.

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