Benoı̂t Macq

7.8k citations
316 papers · 6.2k · h-index 37

Impact in

Papers in

Benoı̂t Macq

295 papers receiving 5.8k citations

Peers

Benoı̂t Macq
Comparison fields: 5 of 175
  • Computer Vision and Pattern Recognition 3.5k
  • Computer Graphics and Computer-Aided Design 271
  • Signal Processing 821
  • Radiation 378
  • Computational Mathematics 23
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Dimitris Metaxas United States
Dimitris Metaxas United States
Jong Chul Ye South Korea
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Ruzena Bajcsy United States
Shaoting Zhang United States
Andrés Bruhn Germany
Roberto Manduchi United States
Gérard Medioni United States
Bart M. ter Haar Romeny Netherlands
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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-authors

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

Showing the 20 most-cited of 316 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006445
2 2011297
3 2001289
4 1995281
5 2008169
6
Resting-state EEG study of comatose patients: a connectivity and frequency analysis to find differences between vegetative and minimally conscious states.
2012161
7 2005152
8 2008134
9 1998133
10 1996131
11 1992121
12 1999113
13 2005109
14
RASH: RAdon soft hash algorithm
2002102
15 2006101
16 200494
17 201390
18 200482
19
Lossless multiresolution transform for image authenticating watermarking
200078
20 201077

About Benoı̂t Macq

Benoı̂t Macq is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Signal Processing, Biomedical Engineering and Artificial Intelligence, having authored 316 papers that have together received 6.2k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (55 papers), Advanced Steganography and Watermarking Techniques (49 papers), Advanced Data Compression Techniques (40 papers), Image and Signal Denoising Methods (29 papers), Medical Imaging Techniques and Applications (28 papers), Advanced Image and Video Retrieval Techniques (24 papers), Advanced Vision and Imaging (24 papers) and Computer Graphics and Visualization Techniques (23 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.5k citations), Computer Graphics and Computer-Aided Design (271 citations), Signal Processing (821 citations), Radiation (378 citations) and Computational Mathematics (23 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, Simon K. Warfield, Jean‐Philippe Thiran, Jean-François Delaigle and Matthieu Ferrant. Their work appears in journals such as Medical Physics, Signal Processing, Radiotherapy and Oncology, IEEE Transactions on Signal Processing and IEEE Transactions on Circuits and Systems for Video Technology.

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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