Mathieu Lamard

4.8k total citations · 4 hit papers
65 papers, 2.7k citations indexed

About

Mathieu Lamard is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Ophthalmology. According to data from OpenAlex, Mathieu Lamard has authored 65 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 35 papers in Radiology, Nuclear Medicine and Imaging and 26 papers in Ophthalmology. Recurrent topics in Mathieu Lamard's work include Retinal Imaging and Analysis (30 papers), Image Retrieval and Classification Techniques (23 papers) and Retinal Diseases and Treatments (19 papers). Mathieu Lamard is often cited by papers focused on Retinal Imaging and Analysis (30 papers), Image Retrieval and Classification Techniques (23 papers) and Retinal Diseases and Treatments (19 papers). Mathieu Lamard collaborates with scholars based in France, United States and Morocco. Mathieu Lamard's co-authors include Gwenolé Quellec, Béatrice Cochener, Guy Cazuguel, Christian Roux, Pascale Massin, Katia Charrière, Ali Erginay, Étienne Decencière, A. Chabouis and Guillaume Thibault and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

Mathieu Lamard

64 papers receiving 2.6k citations

Hit Papers

TeleOphta: Machine learning and image processing methods ... 2013 2026 2017 2021 2013 2017 2013 2024 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mathieu Lamard France 25 1.9k 1.3k 1.2k 544 285 65 2.7k
Guy Cazuguel France 21 2.0k 1.0× 1.4k 1.0× 1.5k 1.2× 497 0.9× 302 1.1× 54 2.8k
Gwenolé Quellec France 30 2.7k 1.4× 2.0k 1.5× 1.6k 1.3× 646 1.2× 357 1.3× 88 3.8k
Muthu Rama Krishnan Mookiah Singapore 23 1.4k 0.7× 790 0.6× 597 0.5× 220 0.4× 158 0.6× 50 1.9k
Sulatha V. Bhandary India 27 2.0k 1.0× 1.6k 1.2× 1.1k 0.9× 197 0.4× 144 0.5× 71 2.5k
András Hajdú Hungary 22 1.3k 0.7× 935 0.7× 797 0.7× 334 0.6× 211 0.7× 135 1.9k
Hanruo Liu China 19 1.4k 0.7× 977 0.7× 593 0.5× 267 0.5× 135 0.5× 47 2.0k
Joes Staal Netherlands 8 3.6k 1.9× 2.5k 1.9× 2.7k 2.2× 375 0.7× 106 0.4× 12 4.2k
Bunyarit Uyyanonvara Thailand 21 2.6k 1.4× 2.0k 1.5× 1.8k 1.5× 225 0.4× 178 0.6× 77 3.0k
Marcos Ortega Spain 24 1.2k 0.6× 735 0.5× 461 0.4× 278 0.5× 53 0.2× 151 1.9k
Weifang Zhu China 23 1.5k 0.8× 805 0.6× 903 0.7× 420 0.8× 35 0.1× 124 2.3k

Countries citing papers authored by Mathieu Lamard

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Lamard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathieu Lamard

This figure shows the co-authorship network connecting the top 25 collaborators of Mathieu Lamard. A scholar is included among the top collaborators of Mathieu Lamard 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 Mathieu Lamard. Mathieu Lamard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Daho, Mostafa El Habib, et al.. (2024). Automated tear film break-up time measurement for dry eye diagnosis using deep learning. Scientific Reports. 14(1). 11723–11723. 7 indexed citations
2.
Daho, Mostafa El Habib, Yihao Li, Hugo Le Boité, et al.. (2024). DISCOVER: 2-D multiview summarization of Optical Coherence Tomography Angiography for automatic diabetic retinopathy diagnosis. Artificial Intelligence in Medicine. 149. 102803–102803. 6 indexed citations
3.
Li, Yihao, Mostafa El Habib Daho, Pierre-Henri Conze, et al.. (2023). Hybrid Fusion of High-Resolution and Ultra-Widefield OCTA Acquisitions for the Automatic Diagnosis of Diabetic Retinopathy. Diagnostics. 13(17). 2770–2770. 7 indexed citations
4.
Lamard, Mathieu, et al.. (2021). Automatic Screening for Ocular Anomalies Using Fundus Photographs. Optometry and Vision Science. 99(3). 281–291. 2 indexed citations
5.
Conze, Pierre-Henri, et al.. (2021). Towards improved breast mass detection using dual-view mammogram matching. Medical Image Analysis. 71. 102083–102083. 26 indexed citations
6.
Quellec, Gwenolé, et al.. (2021). ExplAIn: Explanatory artificial intelligence for diabetic retinopathy diagnosis. Medical Image Analysis. 72. 102118–102118. 44 indexed citations
7.
Laÿ, Bruno, Ronan Danno, Gwenolé Quellec, et al.. (2020). Using Artificial Intelligence to detect glaucoma and Age related Macula Degeneration. Investigative Ophthalmology & Visual Science. 61(7). 1647–1647. 1 indexed citations
8.
Quellec, Gwenolé, et al.. (2017). Deep image mining for diabetic retinopathy screening. Medical Image Analysis. 39. 178–193. 329 indexed citations breakdown →
9.
Lamard, Mathieu, et al.. (2016). Évaluation d’une plateforme d’orthoptie numérique 3D. Journal Français d Ophtalmologie. 39(5). 441–448. 1 indexed citations
10.
Quellec, Gwenolé, Mathieu Lamard, Ali Erginay, et al.. (2015). Automatic detection of referral patients due to retinal pathologies through data mining. Medical Image Analysis. 29. 47–64. 33 indexed citations
11.
Charrière, Katia, Gwenolé Quellec, Mathieu Lamard, et al.. (2014). Automated Surgical Step Recognition in Normalized Cataract Surgery Videos. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
12.
Quellec, Gwenolé, Katia Charrière, Mathieu Lamard, et al.. (2014). Real-time recognition of surgical tasks in eye surgery videos. Medical Image Analysis. 18(3). 579–590. 34 indexed citations
13.
Quellec, Gwenolé, Mathieu Lamard, Michael D. Abràmoff, et al.. (2012). A multiple-instance learning framework for diabetic retinopathy screening. Medical Image Analysis. 16(6). 1228–1240. 71 indexed citations
14.
Quellec, Gwenolé, Mathieu Lamard, Guy Cazuguel, Christian Roux, & Béatrice Cochener. (2010). Case Retrieval in Medical Databases by Fusing Heterogeneous Information. IEEE Transactions on Medical Imaging. 30(1). 108–118. 48 indexed citations
15.
Quellec, Gwenolé, et al.. (2010). Medical Case Retrieval From a Committee of Decision Trees. IEEE Transactions on Information Technology in Biomedicine. 14(5). 1227–1235. 24 indexed citations
16.
Andaloussi, Said Jai, Mathieu Lamard, Guy Cazuguel, et al.. (2010). Content Based medical Image Retrieval based on BEMD: Optimization of a similarity metric. PubMed. 10. 3069–3072. 5 indexed citations
17.
Quellec, Gwenolé, et al.. (2008). Optimal Wavelet Transform for the Detection of Microaneurysms in Retina Photographs. IEEE Transactions on Medical Imaging. 27(9). 1230–1241. 257 indexed citations
18.
Quellec, Gwenolé, et al.. (2007). Multimedia medical case retrieval using decision trees. Conference proceedings. 6. 4536–4539. 14 indexed citations
19.
Lamard, Mathieu, et al.. (2007). Content Based Image Retrieval based on Wavelet Transform coefficients distribution. Conference proceedings. 2007. 4532–4535. 31 indexed citations
20.
Quellec, Gwenolé, et al.. (2006). Detection of lesions in retina photographs based on the wavelet transform. PubMed. 2006. 2618–2621. 28 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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