Benjamin Charlier

539 total citations
10 papers, 119 citations indexed

About

Benjamin Charlier is a scholar working on Geometry and Topology, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Benjamin Charlier has authored 10 papers receiving a total of 119 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Geometry and Topology, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Benjamin Charlier's work include Morphological variations and asymmetry (4 papers), Retinal Imaging and Analysis (2 papers) and Medical Image Segmentation Techniques (2 papers). Benjamin Charlier is often cited by papers focused on Morphological variations and asymmetry (4 papers), Retinal Imaging and Analysis (2 papers) and Medical Image Segmentation Techniques (2 papers). Benjamin Charlier collaborates with scholars based in France, United States and Canada. Benjamin Charlier's co-authors include Jérémie Bigot, Sieun Lee, Stanley Durrleman, Karteek Popuri, Alain Trouvé, Marinko V. Šarunic, Nicolas Charon, Mirza Faisal Beg, Stéphanie Allassonnière and Stéphane Epelbaum and has published in prestigious journals such as Scientific Reports, SIAM Journal on Numerical Analysis and Methods in Ecology and Evolution.

In The Last Decade

Benjamin Charlier

8 papers receiving 116 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Benjamin Charlier France	7	30	23	22	19	18	10	119
Alexandre Bône France	7	54 1.8×	8 0.3×		45 2.4×	52 2.9×	17	196
Gerome Vivar Germany	7	34 1.1×		12 0.5×	19 1.0×	4 0.2×	7	126
J. Samuel Preston United States	4	23 0.8×	7 0.3×		10 0.5×	12 0.7×	7	74
Zhe Su China	10	8 0.3×	11 0.5×	1 0.0×	11 0.6×	5 0.3×	33	238
Christopher Lin United States	8	24 0.8×	9 0.4×	1 0.0×	15 0.8×	14 0.8×	21	167
Sarah Keefe United States	6	45 1.5×		4 0.2×	19 1.0×	44 2.4×	24	171
Prashant Rai United States	8	9 0.3×		9 0.4×	30 1.6×	24 1.3×	27	174
Zhijian Yang United States	6	30 1.0×		4 0.2×	27 1.4×	10 0.6×	9	156
Casey Goodlett United States	9	285 9.5×	13 0.6×		14 0.7×	21 1.2×	16	371
Joshua T. Vogelstein United States	4	72 2.4×	5 0.2×		22 1.2×	6 0.3×	11	221

Countries citing papers authored by Benjamin Charlier

Since Specialization

Citations

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

Fields of papers citing papers by Benjamin Charlier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Charlier

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

All Works

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10 of 10 papers shown

Charlier, Benjamin, et al.. (2025). Cooperative learning of Pl@ntNet's Artificial Intelligence algorithm: How does it work and how can we improve it?. Methods in Ecology and Evolution. 17(2). 392–403.

Koval, Igor, Alexandre Bône, Simona Bottani, et al.. (2021). AD Course Map charts Alzheimer’s disease progression. Scientific Reports. 11(1). 8020–8020. 41 indexed citations

Piras, Paolo, Valerio Varano, Antonio Profico, et al.. (2021). Transporting Deformations of Face Emotions in the Shape Spaces: A Comparison of Different Approaches. Journal of Mathematical Imaging and Vision. 63(7). 875–893. 1 indexed citations

Charlier, Benjamin, et al.. (2018). Geodesic Discriminant Analysis for Manifold-Valued Data. 445–4458.

Charlier, Benjamin, et al.. (2018). A Fanning Scheme for the Parallel Transport along Geodesics on Riemannian Manifolds. SIAM Journal on Numerical Analysis. 56(4). 2563–2584. 7 indexed citations

Lee, Sieun, Morgan Heisler, Karteek Popuri, et al.. (2017). Age and Glaucoma-Related Characteristics in Retinal Nerve Fiber Layer and Choroid: Localized Morphometrics and Visualization Using Functional Shapes Registration. Frontiers in Neuroscience. 11. 381–381. 6 indexed citations

Lee, Sieun, Nicolas Charon, Benjamin Charlier, et al.. (2016). Atlas-based shape analysis and classification of retinal optical coherence tomography images using the functional shape (fshape) framework. Medical Image Analysis. 35. 570–581. 24 indexed citations

Charlier, Benjamin, et al.. (2012). Dispositifs hybrides, nouvelle perspective pour une pédagogie renouvelée de l’enseignement supérieur. Open Repository and Bibliography (University of Luxembourg). 10 indexed citations

Charlier, Benjamin. (2012). Necessary and sufficient condition for the existence of a Fréchet mean on the circle. ESAIM Probability and Statistics. 17. 635–649. 10 indexed citations

10.

Bigot, Jérémie & Benjamin Charlier. (2010). On the consistency of Fr\\'echet means in deformable models for curve and\n image analysis. arXiv (Cornell University). 20 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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