Benoît Macq

3.4k total citations · 1 hit paper
111 papers, 2.2k citations indexed

About

Benoît Macq is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Benoît Macq has authored 111 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Benoît Macq's work include Advanced Steganography and Watermarking Techniques (23 papers), Chaos-based Image/Signal Encryption (15 papers) and Advanced Data Compression Techniques (14 papers). Benoît Macq is often cited by papers focused on Advanced Steganography and Watermarking Techniques (23 papers), Chaos-based Image/Signal Encryption (15 papers) and Advanced Data Compression Techniques (14 papers). Benoît Macq collaborates with scholars based in Belgium, France and United States. Benoît Macq's 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 Guy Cosnard and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.

In The Last Decade

Benoît Macq

104 papers receiving 2.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Artificial intelligence and machine learning for medical imaging: A technology review

2021 236 citations Ana María Barragán Montero, Umair Javaid et al. Physica Medica profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Benoît Macq Belgium	21	1.5k	194	180	162	124	111	2.2k
William A. Barrett United States	15	1.2k 0.8×	235 1.2×	159 0.9×	262 1.6×	23 0.2×	49	1.7k
Per‐Erik Danielsson Sweden	13	890 0.6×	241 1.2×	204 1.1×	179 1.1×	101 0.8×	32	1.8k
Wei‐Lun Chao United States	22	1.6k 1.1×	106 0.5×	611 3.4×	22 0.1×	169 1.4×	67	2.3k
Kazunori Okada United States	18	538 0.4×	393 2.0×	281 1.6×	17 0.1×	82 0.7×	88	1.6k
Li Song China	25	1.5k 1.0×	53 0.3×	261 1.4×	39 0.2×	621 5.0×	242	2.1k
Raj Acharya United States	19	412 0.3×	123 0.6×	145 0.8×	41 0.3×	68 0.5×	132	1.4k
Hai Lin China	16	293 0.2×	135 0.7×	165 0.9×	130 0.8×	37 0.3×	128	1.0k
Gabriella Sanniti di Baja Italy	22	1.3k 0.9×	134 0.7×	111 0.6×	277 1.7×	83 0.7×	92	1.8k
S.M. Yamany United States	12	1.4k 0.9×	191 1.0×	317 1.8×	52 0.3×	36 0.3×	27	1.8k
Beiji Zou China	24	1.2k 0.8×	802 4.1×	324 1.8×	19 0.1×	57 0.5×	189	2.1k

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 of co-authors of Benoît Macq

This figure shows the co-authorship network connecting the top 25 collaborators of Benoît Macq. A scholar is included among the top collaborators of Benoît Macq based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Benoît Macq. Benoît Macq is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

POURJAVAN, S, et al.. (2024). Advanced Analysis of OCT/OCTA Images for Accurately Differentiating Between Glaucoma and Healthy Eyes Using Deep Learning Techniques. Clinical ophthalmology. Volume 18. 3493–3502. 5 indexed citations

Gruson, Damien, Sanja Stanković, Benoît Macq, et al.. (2022). Artificial intelligence and thyroid disease management. Biochemia Medica. 32(2). 182–188. 10 indexed citations

Montero, Ana María Barragán, Umair Javaid, Gilmer Valdés, et al.. (2021). Artificial intelligence and machine learning for medical imaging: A technology review. Physica Medica. 83. 242–256. 236 indexed citations breakdown →

Li, Jingqi, Peng Tan, Zuonan Cai, et al.. (2017). Lipid deposition patterns among different sizes of three commercial fish species. Aquaculture Research. 49(2). 1046–1052. 20 indexed citations

Tan, Peng, Mo Peng, Dongwu Liu, et al.. (2017). Suppressor of cytokine signaling 3 (SOCS3) is related to pro-inflammatory cytokine production and triglyceride deposition in turbot (Scophthalmus maximus). Fish & Shellfish Immunology. 70. 381–390. 15 indexed citations

Bas, Patrick, et al.. (2010). Security and robustness constraints for spread-spectrum Tardos fingerprinting. 5806. 1–6. 1 indexed citations

Giárd, Jean-Christophe, et al.. (2009). Fast Surface-Based Travel Depth Estimation Algorithm for Macromolecule Surface Shape Description. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 8(1). 59–68. 8 indexed citations

Macq, Benoît, et al.. (2009). Employing Graph Cut for qualitative Volume Reconstruction. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 10. 45.

Giard, Joachim, Patrice Rondão Alface, & Benoît Macq. (2008). Fast and accurate travel depth estimation for protein active site prediction. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6812. 68120Q–68120Q. 2 indexed citations

10.

Alface, Patrice Rondão & Benoît Macq. (2007). From 3D Mesh Data Hiding to 3D Shape Blind. 91–115. 1 indexed citations

11.

Macq, Benoît, et al.. (2007). A method of text watermarking using presuppositions. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6505. 65051R–65051R. 29 indexed citations

12.

Janssens, Guillaume, Jonathan Orban de Xivry, Guy Bosmans, et al.. (2006). Semi-automatic delineation of moving lung tumours using deformation fields based on respiration correlated CT: Improvement of the internal target volume definition. Radiotherapy and Oncology. 81. 1 indexed citations

13.

Trevisan, Daniela, Jean Vanderdonckt, Benoît Macq, & Luciana Nedel. (2006). Detecting Interaction Variables in a Mixed Reality System for Maxillofacial-guided Surgery. DIAL (Catholic University of Leuven). 10 indexed citations

14.

Czyz, J., et al.. (2005). SILHOUETTE-BASED 2D MOTION CAPTURE FOR REAL-TIME APPLICATIONS. International Conference on Image Processing. 3 indexed citations

15.

Macq, Benoît, et al.. (2005). Towards multimodal treatment of presuppositions in natural dialog discourse. DIAL (Catholic University of Leuven). 1 indexed citations

16.

Lefèbvre, F., J. Czyz, & Benoît Macq. (2004). A robust soft hash algorithm for digital image signature. 3. II–495. 50 indexed citations

17.

Bas, Patrick, J.-M. Chassery, & Benoît Macq. (2002). Image watermarking: an evolution to content based approaches. Pattern Recognition. 35(3). 545–561. 25 indexed citations

18.

Macq, Benoît, et al.. (2002). Image visual quality restoration by cancellation of the unmasked noise. Infoscience (Ecole Polytechnique Fédérale de Lausanne). v. V/53–V/56. 3 indexed citations

19.

Green, P., et al.. (2001). Segmenting moving objects: the MODEST video object kernel. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 7 indexed citations

20.

Macq, Benoît, et al.. (1993). Optimum Weighted Signal-Adapted Biorthogonal Wavelet Transform for Multiresolution Image Coding. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 2 indexed citations

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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