Benoît Macq

3.4k citations
111 papers · 2.2k indexed · 1 hit paper · h-index 21

Benoît Macq

104 papers receiving 2.0k citations

Hit Papers

Artificial intelligence and machine learning for medical ...236202120262022202450100150200

Peers

Benoît Macq
Comparison fields: 5 of 148
  • Computer Vision and Pattern Recognition 1.5k
  • Computer Graphics and Computer-Aided Design 162
  • Health Informatics 55
  • Orthodontics 79
  • Oral Surgery 105
Replace Wei‐Lun Chao with:
Wei‐Lun Chao United States
Beiji Zou China
Hai Lin China
Martin Urschler Austria
Shiaofen Fang United States
Kazunori Okada United States
Shohreh Kasaei Iran
Rachid Jennane France
Walter G. Kropatsch Austria
Chenyu You United States
Benoît Macq relative to Wei‐Lun Chao United States Wei‐Lun Chao's profile →
Citations per field
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Wei‐Lun Chao · 1×
Citations per year

Countries citing papers authored by Benoît Macq

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Macq

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20245
2 20242
3
Artificial intelligence and machine learning for medical imaging: A technology reviewbreakdown →
2021236
4 201720
5 201715
6 20115
7 201011
8 20098
9 200758
10
Semi-automatic delineation of moving lung tumours using deformation fields based on respiration correlated CT: Improvement of the internal target volume definition
20061
11 200648
12
SILHOUETTE-BASED 2D MOTION CAPTURE FOR REAL-TIME APPLICATIONS
20053
13
Towards multimodal treatment of presuppositions in natural dialog discourse
20051
14 200516
15 20050
16 200336
17 2002320
18
Segmenting moving objects: the MODEST video object kernel
20017
19 19997
20
Optimum Weighted Signal-Adapted Biorthogonal Wavelet Transform for Multiresolution Image Coding
19932

About Benoît Macq

Benoît Macq is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Signal Processing, having authored 111 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (23 papers), Chaos-based Image/Signal Encryption (15 papers), Advanced Data Compression Techniques (14 papers), Advanced Vision and Imaging (13 papers), Computer Graphics and Visualization Techniques (10 papers), Image and Signal Denoising Methods (10 papers), Digital Media Forensic Detection (10 papers) and Medical Image Segmentation Techniques (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.5k citations), Computer Graphics and Computer-Aided Design (162 citations) and Health Informatics (55 citations). Benoît Macq has collaborated with scholars based in Belgium, France and United States. Frequent co-authors include Christophe De Vleeschouwer, Jean-François Delaigle, Patrick Bas, J.-M. Chassery, François Cayre, Raphaël Olszewski, H Reychler, F. Lefèbvre, Kevin Souris and John A. Lee. Their work appears in journals such as IEEE Transactions on Image Processing, Signal Processing Image Communication, IEEE Transactions on Information Forensics and Security, IEEE/ACM Transactions on Computational Biology and Bioinformatics and Proceedings of the IEEE.

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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