Benoı̂t Macq

7.8k citations
298 papers · 5.4k indexed · h-index 35

Benoı̂t Macq

278 papers receiving 5.0k citations

Peers

Benoı̂t Macq
Comparison fields: 5 of 180
  • Computer Vision and Pattern Recognition 3.0k
  • Signal Processing 752
  • Computer Graphics and Computer-Aided Design 189
  • Radiation 447
  • Computational Mathematics 23
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Citations per year

Countries citing papers authored by Benoı̂t Macq

Since Specialization
Citations

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

Fields of papers citing papers by Benoı̂t Macq

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Benoı̂t Macq, 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 Benoı̂t Macq Line = papers co-authored together Benoı̂t Macq links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20243
4 20232
5 202016
6 20202
7 201510
8 20123
9 200966
10
Paving the Way of Designers – Towards the Development of Multimodal Web User Interfaces
20080
11
Rapid Prototyping of Multimodal Interactive Applications Based on Off-The-Shelf Heterogeneous Components
20087
12
Multimodal Multi-Level Fusion Using Contextual Information
20071
13
Benchmarking image watermarking algorithms with Openwatermark
20065
14 200413
15
Hardware implementation of a fingerprinting algorithm suited for digital cinema
20042
16
A Seamless Modular Approach for Real-Time Video Analysis for Surveillance
20044
17
Labeling the brain surface using a deformable multiresolution mesh
20021
18
RASH: RAdon soft hash algorithm
200289
19
Multi-object segmentation of brain structures using a computerized brain atlas
19993
20 199817

About Benoı̂t Macq

Benoı̂t Macq is a scholar working on Computer Vision and Pattern Recognition, Computational Mathematics and Computer Graphics and Computer-Aided Design, having authored 298 papers that have together received 5.4k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (49 papers), Advanced Steganography and Watermarking Techniques (45 papers), Advanced Data Compression Techniques (39 papers), Medical Imaging Techniques and Applications (31 papers), Image and Signal Denoising Methods (29 papers), Advanced Vision and Imaging (25 papers), Advanced Image and Video Retrieval Techniques (23 papers) and Image Retrieval and Classification Techniques (22 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.0k citations), Signal Processing (752 citations) and Computer Graphics and Computer-Aided Design (189 citations). Benoı̂t Macq has collaborated with scholars based in Belgium, United States and France. Frequent co-authors include Christophe De Vleeschouwer, Jean-Jacques Quisquater, Ioannis Pitas, O. Cuisenaire, Irene Kotsia, Olivier Martin, Jean‐Philippe Thiran, Jean-François Delaigle, Simon K. Warfield and F. Lefèbvre. Their work appears in journals such as Medical Physics, Signal Processing, Radiotherapy and Oncology, IEEE Transactions on Signal Processing and IEEE Transactions on Image Processing.

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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