Joan Massich

529 total citations
16 papers, 343 citations indexed

About

Joan Massich is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Joan Massich has authored 16 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Joan Massich's work include AI in cancer detection (7 papers), Retinal Imaging and Analysis (5 papers) and Retinal Diseases and Treatments (5 papers). Joan Massich is often cited by papers focused on AI in cancer detection (7 papers), Retinal Imaging and Analysis (5 papers) and Retinal Diseases and Treatments (5 papers). Joan Massich collaborates with scholars based in France, Spain and Malaysia. Joan Massich's co-authors include G Lemaître, Fabrice Mériaudeau, Mojdeh Rastgoo, Désiré Sidibé, Carol Y. Cheung, Tien Yin Wong, Dan Miléa, Ecosse L. Lamoureux, Khaled Alsaih and Rafael García and has published in prestigious journals such as Computer Methods and Programs in Biomedicine, BioMedical Engineering OnLine and Journal of Electronic Imaging.

In The Last Decade

Joan Massich

16 papers receiving 335 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joan Massich France 8 255 191 122 72 66 16 343
Pavle Prentašić Croatia 7 383 1.5× 281 1.5× 218 1.8× 44 0.6× 35 0.5× 12 428
Suman Sedai Australia 10 178 0.7× 105 0.5× 201 1.6× 58 0.8× 79 1.2× 25 359
Mojdeh Rastgoo France 10 281 1.1× 204 1.1× 139 1.1× 101 1.4× 129 2.0× 13 461
Kejuan Yue China 7 241 0.9× 120 0.6× 203 1.7× 38 0.5× 87 1.3× 17 400
Maria Inês Meyer Belgium 5 220 0.9× 72 0.4× 177 1.5× 42 0.6× 88 1.3× 5 368
Ahmed Sharafeldeen United States 13 366 1.4× 157 0.8× 58 0.5× 41 0.6× 85 1.3× 27 411
Xiao Fang Wang China 8 172 0.7× 104 0.5× 176 1.4× 25 0.3× 17 0.3× 30 376
Menglin Wu China 10 181 0.7× 111 0.6× 84 0.7× 80 1.1× 110 1.7× 17 327
Lingjiao Pan China 10 149 0.6× 56 0.3× 172 1.4× 68 0.9× 51 0.8× 27 313

Countries citing papers authored by Joan Massich

Since Specialization
Citations

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

Fields of papers citing papers by Joan Massich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joan Massich

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

All Works

16 of 16 papers shown
1.
Alsaih, Khaled, G Lemaître, Mojdeh Rastgoo, et al.. (2017). Machine learning techniques for diabetic macular edema (DME) classification on SD-OCT images. BioMedical Engineering OnLine. 16(1). 68–68. 93 indexed citations
2.
Sidibé, Désiré, G Lemaître, Mojdeh Rastgoo, et al.. (2016). An anomaly detection approach for the identification of DME patients using spectral domain optical coherence tomography images. Computer Methods and Programs in Biomedicine. 139. 109–117. 45 indexed citations
3.
Rastgoo, Mojdeh, G Lemaître, Joan Massich, et al.. (2016). Tackling the Problem of Data Imbalancing for Melanoma Classification. 16 indexed citations
4.
Massich, Joan, Gérard R. Lemaı̂tre, Christophe Stolz, et al.. (2016). Wood fiber orientation assessment based on punctual laser beam excitation: A preliminary study. 4 indexed citations
5.
Massich, Joan, Mojdeh Rastgoo, G Lemaître, et al.. (2016). Classifying DME vs normal SD-OCT volumes: A review. 9414. 1297–1302. 9 indexed citations
6.
Rastgoo, Mojdeh, G Lemaître, Olivier Morel, et al.. (2016). Classification of melanoma lesions using sparse coded features and random forests. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 18 indexed citations
7.
Lemaître, G, Mojdeh Rastgoo, Joan Massich, et al.. (2016). Normalization of T2W-MRI prostate images using Rician a priori. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9785. 978529–978529. 8 indexed citations
8.
Lemaître, G, Mojdeh Rastgoo, Joan Massich, et al.. (2016). Classification of SD-OCT Volumes Using Local Binary Patterns: Experimental Validation for DME Detection. Journal of Ophthalmology. 2016. 1–14. 116 indexed citations
9.
Madenda, Sarifuddin, et al.. (2015). A Segmentation Algorithm for Breast Lesion Based on Active Contour Model and Morphological Operations. Advanced Science Engineering and Medicine. 7(10). 920–924. 3 indexed citations
10.
El-Fakdi, Andrés, Natàlia Hurtós, Jordi Freixenet, et al.. (2015). Team-based workshop to engage young students in engineering and science: Building and driving a ROV (R2B2). Two special editions in India. 1–6. 3 indexed citations
11.
Lemaître, G & Joan Massich. (2015). retinopathy: JO-OMIA-2015. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
12.
Lemaître, G, Joan Massich, Robert Martí, et al.. (2015). A boosting approach for prostate cancer detection using multi-parametric MRI. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9534. 95340A–95340A. 16 indexed citations
13.
Massich, Joan, Guillaume Lemaître, Joan Martı́, & Fabrice Mériaudeau. (2015). Breast ultrasound image segmentation: an optimization approach based on super-pixels and high-level descriptors. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9534. 95340C–95340C. 3 indexed citations
14.
Stolz, Christophe, et al.. (2015). Nondestructive testing based on scanning-from-heating approach: application to nonthrough defect detection and fiber orientation assessment. Journal of Electronic Imaging. 24(6). 61112–61112. 5 indexed citations
16.
Massich, Joan, et al.. (2011). Seed selection criteria for breast lesion segmentation in Ultra-Sound images. 1 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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