R.E. Van Dyck

1.1k citations
37 papers · 869 · h-index 13

Impact in

Papers in

R.E. Van Dyck

32 papers receiving 763 citations

Peers

R.E. Van Dyck
Comparison fields: 5 of 60
  • Computer Vision and Pattern Recognition 507
  • Computer Networks and Communications 280
  • Signal Processing 111
  • Media Technology 42
  • Electrical and Electronic Engineering 185
Replace Joachim Keinert with:
Joachim Keinert Germany
Changhoon Yim South Korea
Robert Bäuml Germany
Yun-Nan Chang Taiwan
I. Kuroda Japan
Yu Cai China
Jan De Cock Belgium
Antonio Servetti Italy
N. Radha India
Somitra Kumar Sanadhya India
R.E. Van Dyck relative to Joachim Keinert Germany Joachim Keinert's profile →
Citations per field
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Citations per year

Countries citing papers authored by R.E. Van Dyck

Since Specialization
Citations

This map shows the geographic impact of R.E. Van Dyck'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 R.E. Van Dyck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R.E. Van Dyck more than expected).

Fields of papers citing papers by R.E. Van Dyck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.E. Van Dyck. 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 R.E. Van Dyck. The network helps show where R.E. Van Dyck may publish in the future.

Co-authors

The 14 scholars most cited alongside R.E. Van Dyck, 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 R.E. Van Dyck Line = papers co-authored together R.E. Van Dyck links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002301
2 200194
3 200392
4 197380
5 199949
6 200244
7 200233
8 199424
9 200221
10 200116
11 200415
12
A Watermarking Algorithm for Fingerprinting Intelligence Images
200113
13 200312
14 200011
15 200211
16 19969
17 19928
18 20026
19
Sensitivity to color errors introduced by processing in different color spaces
19915
20
Kinetic Minimum-Power Routing and Clustering in Mobile Ad-Hoc Networks | NIST
20024

About R.E. Van Dyck

R.E. Van Dyck is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Electrical and Electronic Engineering, Signal Processing and Molecular Biology, having authored 37 papers that have together received 869 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (17 papers), Image and Signal Denoising Methods (10 papers), Advanced Wireless Communication Techniques (6 papers), Video Coding and Compression Technologies (5 papers), Digital Filter Design and Implementation (5 papers), Mobile Ad Hoc Networks (4 papers), Bluetooth and Wireless Communication Technologies (4 papers) and Advanced Steganography and Watermarking Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (507 citations), Computer Networks and Communications (280 citations), Signal Processing (111 citations), Media Technology (42 citations) and Electrical and Electronic Engineering (185 citations). R.E. Van Dyck has collaborated with scholars based in United States, Thailand and Egypt. Frequent co-authors include J.F. Doherty, Nada Golmie, Chaim Frenkel, David J. Miller, Sarah A. Rajala, O. Rébala, Yiwei Wang, Seungkeun Choi, Nader Moayeri and N.K. Bose. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, Signal Processing Image Communication, Journal of Visual Communication and Image Representation, IEEE Journal on Selected Areas in Communications and PLANT PHYSIOLOGY.

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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