Franck Marzani

908 total citations
57 papers, 569 citations indexed

About

Franck Marzani is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Oncology. According to data from OpenAlex, Franck Marzani has authored 57 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 13 papers in Biomedical Engineering and 8 papers in Oncology. Recurrent topics in Franck Marzani's work include Advanced Vision and Imaging (11 papers), Optical Coherence Tomography Applications (8 papers) and 3D Surveying and Cultural Heritage (7 papers). Franck Marzani is often cited by papers focused on Advanced Vision and Imaging (11 papers), Optical Coherence Tomography Applications (8 papers) and 3D Surveying and Cultural Heritage (7 papers). Franck Marzani collaborates with scholars based in France, China and Germany. Franck Marzani's co-authors include Alamin Mansouri, Pierre Gouton, Olivier Morel, Mojdeh Rastgoo, Rafael García, Yannick Benezeth, P. Vabres, Frank Boochs, Yvon Voisin and Jean‐Marie Bilbault and has published in prestigious journals such as Scientific Reports, Sensors and Pattern Recognition.

In The Last Decade

Franck Marzani

54 papers receiving 539 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Franck Marzani France 14 155 127 123 113 74 57 569
Said Pertuz Colombia 11 384 2.5× 99 0.8× 54 0.4× 118 1.0× 118 1.6× 47 889
Ovidiu Ghita Ireland 16 633 4.1× 80 0.6× 46 0.4× 129 1.1× 317 4.3× 73 1.0k
Youngbae Hwang South Korea 14 520 3.4× 56 0.4× 78 0.6× 45 0.4× 35 0.5× 66 802
Byung‐Woo Hong South Korea 15 461 3.0× 185 1.5× 36 0.3× 67 0.6× 130 1.8× 64 766
Mark Eramian Canada 12 282 1.8× 227 1.8× 17 0.1× 48 0.4× 237 3.2× 40 877
Tomoki Uemura Japan 9 246 1.6× 84 0.7× 16 0.1× 62 0.5× 62 0.8× 18 624
Howard Zhou United States 7 537 3.5× 111 0.9× 95 0.8× 47 0.4× 22 0.3× 13 760
Lingqiao Li China 14 399 2.6× 266 2.1× 16 0.1× 63 0.6× 153 2.1× 44 678
Kálmán Palágyi Hungary 14 564 3.6× 61 0.5× 17 0.1× 72 0.6× 222 3.0× 41 1.1k
Donggeun Yoo South Korea 8 592 3.8× 142 1.1× 15 0.1× 45 0.4× 42 0.6× 14 728

Countries citing papers authored by Franck Marzani

Since Specialization
Citations

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

Fields of papers citing papers by Franck Marzani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Franck Marzani

This figure shows the co-authorship network connecting the top 25 collaborators of Franck Marzani. A scholar is included among the top collaborators of Franck Marzani 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 Franck Marzani. Franck Marzani 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.
Hallal, Ali, Stéphanie Bricq, Yannick Benezeth, et al.. (2024). Deep learning aided tool for fast and accurate segmentation of multi-part semiconductor features. SPIRE - Sciences Po Institutional REpository. 70–70.
2.
Li, Chao, Haibin Wang, Jun Wang, et al.. (2023). A Contrastive-Learning-Based Method for the Few-Shot Identification of Ship-Radiated Noises. Journal of Marine Science and Engineering. 11(4). 782–782. 8 indexed citations
3.
Goïc, Gaëtan Le, et al.. (2023). A Benchmark Dataset and Evaluation for Best Light Configuration in Reflectance Transformation Imaging. Archiving Conference. 20(1). 75–81. 1 indexed citations
4.
George, Sony, et al.. (2023). An interactive method for adaptive acquisition in Reflectance Transformation Imaging for cultural heritage. SPIRE - Sciences Po Institutional REpository. 1690–1698. 2 indexed citations
5.
Goïc, Gaëtan Le, et al.. (2022). LightBot: A Multi-Light Position Robotic Acquisition System for Adaptive Capturing of Cultural Heritage Surfaces. Journal of Imaging. 8(5). 134–134. 7 indexed citations
6.
Bazin, Thomas, Vânia Camilo, Valérie Michel, et al.. (2021). Multimodal imaging as optical biopsy system for gastritis diagnosis in humans, and input of the mouse model. EBioMedicine. 69. 103462–103462. 2 indexed citations
7.
Bazin, Thomas, Yannick Benezeth, Matthieu Boffety, et al.. (2020). Multispectral imaging detects gastritis consistently in mouse model and in humans. Scientific Reports. 10(1). 20047–20047. 3 indexed citations
8.
Benezeth, Yannick, et al.. (2020). Intrinsic RGB and multispectral images recovery by independent quadratic programming. PeerJ Computer Science. 6. e256–e256. 2 indexed citations
9.
Rastgoo, Mojdeh, G Lemaître, Joan Massich, et al.. (2016). Tackling the Problem of Data Imbalancing for Melanoma Classification. 16 indexed citations
10.
Rastgoo, Mojdeh, Rafael García, Olivier Morel, & Franck Marzani. (2015). Automatic differentiation of melanoma from dysplastic nevi. Computerized Medical Imaging and Graphics. 43. 44–52. 78 indexed citations
11.
Marzani, Franck, et al.. (2013). Scars collaborative telediagnosis platform using adaptive image flow. Integrated Computer-Aided Engineering. 20(1). 3–14. 14 indexed citations
12.
Boochs, Frank, et al.. (2013). Registration of 3D and Multispectral Data for the Study of Cultural Heritage Surfaces. Sensors. 13(1). 1004–1020. 10 indexed citations
13.
Lucas, Yves, et al.. (2013). Colour and multispectral imaging for wound healing evaluation in the context of a comparative preclinical study. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8669. 866923–866923. 12 indexed citations
14.
Benezeth, Yannick, et al.. (2013). Skin Parameter Map Retrieval from a Dedicated Multispectral Imaging System Applied to Dermatology/Cosmetology. International Journal of Biomedical Imaging. 2013. 1–15. 36 indexed citations
15.
Bouzid, Mohamed Amine, et al.. (2013). Automatic cell nuclei detection: a protocol to acquire multispectral images and to compare results between color and multispectral images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8587. 85871J–85871J. 4 indexed citations
16.
Treuillet, Sylvie, et al.. (2013). An optimized algorithm of image stitching in the case of a multi-modal probe for monitoring the evolution of scars. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8572. 85721A–85721A. 1 indexed citations
17.
Marzani, Franck, et al.. (2012). Unmixing of human skin optical reflectance maps by Non-negative Matrix Factorization algorithm. Biomedical Signal Processing and Control. 8(2). 169–175. 9 indexed citations
18.
Legrand, L., Franck Marzani, & L Dusserre. (2002). A method for automatically detecting the systole and diastole phases in sequences of angiographic images. 30–35. 1 indexed citations
19.
Marzani, Franck, et al.. (2001). A 3-D marker-free system for the analysis of movement disabilities - an application to the legs. IEEE Transactions on Information Technology in Biomedicine. 5(1). 18–26. 16 indexed citations
20.
Legrand, L., Franck Marzani, & L Dusserre. (1998). A marker-free system for the analysis of movement disabilities.. PubMed. 52 Pt 2. 1066–70. 8 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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