M. Maes

866 citations
16 papers · 564 · h-index 11

Impact in

    • Advanced Steganography and Watermarking Techniques
    • Chaos-based Image/Signal Encryption
    • Digital Media Forensic Detection
    • Image Retrieval and Classification Techniques
    • Advanced Image and Video Retrieval Techniques
    • Image Processing and 3D Reconstruction
    • Video Coding and Compression Technologies

Papers in

M. Maes

16 papers receiving 513 citations

Peers

M. Maes
Comparison fields: 5 of 39
  • Computer Vision and Pattern Recognition 497
  • Signal Processing 114
  • Computer Graphics and Computer-Aided Design 25
  • Artificial Intelligence 88
  • Information Systems 57
Replace Ron G. van Schyndel with:
Ron G. van Schyndel Australia
Zhenxing Qian China
Anthony Mansfield United Kingdom
Joachim J. Eggers Germany
Oleksiy Koval Switzerland
Pedro Comesaña Spain
Zichi Wang China
Arijit Bishnu India
Gwenaël Doërr France
Fangjun Huang China
M. Maes relative to Ron G. van Schyndel Australia Ron G. van Schyndel's profile →
Citations per field
00.5×1.7×
Ron G. van Schyndel · 1×
Citations per year

Countries citing papers authored by M. Maes

Since Specialization
Citations

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

Fields of papers citing papers by M. Maes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Maes. 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 M. Maes. The network helps show where M. Maes may publish in the future.

Co-authors

The 11 scholars most cited alongside M. Maes, 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 M. Maes Line = papers co-authored together M. Maes links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 1999162
2 199090
3 200080
4 199172
5 200044
6 199928
7 200218
8 199816
9 199913
10 200311
11 200210
12 200310
13
Mathematical methods for reflector design
19974
14 20023
15 19902
16
AN OPTIMIZATION PROBLEM IN REFLECTOR DESIGN
19921

About M. Maes

M. Maes is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Computer Graphics and Computer-Aided Design and Information Systems, having authored 16 papers that have together received 564 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (11 papers), Chaos-based Image/Signal Encryption (7 papers), Video Coding and Compression Technologies (4 papers), Digital Rights Management and Security (2 papers), Internet Traffic Analysis and Secure E-voting (2 papers), Advanced Data Compression Techniques (2 papers), Algorithms and Data Compression (2 papers) and Digital Media Forensic Detection (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (497 citations), Signal Processing (114 citations), Computer Graphics and Computer-Aided Design (25 citations), Artificial Intelligence (88 citations) and Information Systems (57 citations). M. Maes has collaborated with scholars based in Netherlands, Finland and Belgium. Frequent co-authors include Jaap Haitsma, Ton Kalker, Jean‐Paul M. G. Linnartz, Jan Vandewege, Lieven De Strycker, C.W.A.M. van Overveld, A.A.C.M. Kalker, Cecilia Ovesdotter Alm, Patrick Donnelly and Michiel Op De Beeck. Their work appears in journals such as IEEE Signal Processing Magazine, Pattern Recognition, IEE Proceedings - Vision Image and Signal Processing, Information Processing Letters and INFM-OAR (INFN Catania).

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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