Frédéric Chazal

5.8k total citations
63 papers, 1.9k citations indexed

About

Frédéric Chazal is a scholar working on Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Frédéric Chazal has authored 63 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computational Theory and Mathematics, 26 papers in Computer Vision and Pattern Recognition and 15 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Frédéric Chazal's work include Topological and Geometric Data Analysis (44 papers), Digital Image Processing Techniques (12 papers) and Advanced Numerical Analysis Techniques (11 papers). Frédéric Chazal is often cited by papers focused on Topological and Geometric Data Analysis (44 papers), Digital Image Processing Techniques (12 papers) and Advanced Numerical Analysis Techniques (11 papers). Frédéric Chazal collaborates with scholars based in France, United States and India. Frédéric Chazal's co-authors include Steve Oudot, André Lieutier, Bertrand Michel, David Cohen‐Steiner, Leonidas Guibas, Vin de Silva, Primož Škraba, Maks Ovsjanikov, Marc Glisse and Quentin Mérigot and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and ACM Transactions on Graphics.

In The Last Decade

Frédéric Chazal

61 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frédéric Chazal France 23 1.2k 663 423 389 375 63 1.9k
Facundo Mémoli United States 22 818 0.7× 746 1.1× 680 1.6× 248 0.6× 336 0.9× 67 2.2k
Steve Oudot France 16 853 0.7× 311 0.5× 225 0.5× 374 1.0× 253 0.7× 50 1.3k
Afra Zomorodian United States 22 2.4k 2.0× 892 1.3× 190 0.4× 800 2.1× 312 0.8× 33 3.2k
David Cohen‐Steiner France 26 1.4k 1.2× 1.2k 1.9× 1.9k 4.4× 490 1.3× 1.9k 4.9× 58 4.1k
Yusu Wang United States 25 473 0.4× 461 0.7× 357 0.8× 99 0.3× 340 0.9× 113 1.6k
Vijay Natarajan India 24 798 0.7× 838 1.3× 195 0.5× 66 0.2× 374 1.0× 89 1.5k
Robert Ghrist United States 24 1.3k 1.1× 490 0.7× 53 0.1× 591 1.5× 95 0.3× 79 2.6k
Dmitriy Morozov United States 18 733 0.6× 275 0.4× 34 0.1× 259 0.7× 73 0.2× 45 1.0k
Abderrahim Elmoataz France 19 195 0.2× 662 1.0× 225 0.5× 91 0.2× 78 0.2× 82 1.2k
Attila Gyulassy United States 21 540 0.5× 507 0.8× 120 0.3× 48 0.1× 229 0.6× 38 1.1k

Countries citing papers authored by Frédéric Chazal

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Chazal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frédéric Chazal

This figure shows the co-authorship network connecting the top 25 collaborators of Frédéric Chazal. A scholar is included among the top collaborators of Frédéric Chazal 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 Frédéric Chazal. Frédéric Chazal 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.
Carr, Ewan, Mathieu Carrière, Bertrand Michel, Frédéric Chazal, & Raquel Iniesta. (2021). Identifying homogeneous subgroups of patients and important features: a topological machine learning approach. BMC Bioinformatics. 22(1). 449–449. 2 indexed citations
2.
Chazal, Frédéric, et al.. (2021). Clustering of measures via mean measure quantization. Electronic Journal of Statistics. 15(1). 2 indexed citations
3.
Kim, Kwang Ho, Jisu Kim, Manzil Zaheer, et al.. (2020). PLLay: Efficient Topological Layer based on Persistent Landscapes. arXiv (Cornell University). 33. 15965–15977. 5 indexed citations
4.
Kim, Kwang Ho, Jisu Kim, Joon Sik Kim, Frédéric Chazal, & Larry Wasserman. (2020). Efficient Topological Layer based on Persistent Landscapes. arXiv (Cornell University). 2 indexed citations
5.
Chazal, Frédéric, et al.. (2020). The density of expected persistence diagrams and its kernel based estimation. 2 indexed citations
6.
Chazal, Frédéric, et al.. (2019). PersLay: A Simple and Versatile Neural Network Layer for Persistence Diagrams. arXiv (Cornell University). 2 indexed citations
7.
Chazal, Frédéric & Bertrand Michel. (2017). An introduction to Topological Data Analysis: fundamental and practical\n aspects for data scientists. arXiv (Cornell University). 259 indexed citations
8.
Chazal, Frédéric, Brittany Terese Fasy, Fabrizio Lecci, et al.. (2015). On the Bootstrap for Persistence Diagrams and Landscapes. SHILAP Revista de lepidopterología. 20(6). 111–120. 16 indexed citations
9.
Azencot, Omri, Mirela Ben‐Chen, Frédéric Chazal, & Maks Ovsjanikov. (2013). An Operator Approach to Tangent Vector Field Processing. Computer Graphics Forum. 32(5). 73–82. 41 indexed citations
10.
Chazal, Frédéric, et al.. (2012). Computing well diagrams for vector fields on Rn. Applied Mathematics Letters. 25(11). 1725–1728. 9 indexed citations
11.
Chazal, Frédéric, Daniel Chen, Leonidas Guibas, Xiaoye Jiang, & Christian Sommer. (2011). Data-driven trajectory smoothing. 251–260. 20 indexed citations
12.
Chazal, Frédéric, Leonidas Guibas, Steve Oudot, & Primož Škraba. (2009). Analysis of scalar fields over point cloud data. Symposium on Discrete Algorithms. 1021–1030. 30 indexed citations
13.
Chazal, Frédéric, David Cohen‐Steiner, & André Lieutier. (2009). A Sampling Theory for Compact Sets in Euclidean Space. Discrete & Computational Geometry. 41(3). 461–479. 52 indexed citations
14.
Chazal, Frédéric, David Cohen‐Steiner, & André Lieutier. (2008). Normal cone approximation and offset shape isotopy. Computational Geometry. 42(6-7). 566–581. 9 indexed citations
15.
Chazal, Frédéric & André Lieutier. (2007). Smooth manifold reconstruction from noisy and non-uniform approximation with guarantees. Computational Geometry. 40(2). 156–170. 24 indexed citations
16.
Chazal, Frédéric, André Lieutier, & Jarek Rossignac. (2007). NORMAL-MAP BETWEEN NORMAL-COMPATIBLE MANIFOLDS. International Journal of Computational Geometry & Applications. 17(5). 403–421. 8 indexed citations
17.
Chazal, Frédéric & André Lieutier. (2005). Weak feature size and persistent homology. 255–262. 37 indexed citations
18.
Chazal, Frédéric & David Cohen‐Steiner. (2004). A condition for isotopic approximation. 67(5). 390–404. 17 indexed citations
19.
Chazal, Frédéric & André Lieutier. (2004). Stability and homotopy of a subset of the medial axis. 243–248. 20 indexed citations
20.
Chazal, Frédéric. (1997). Sur les feuilletages algébriques de Rolle. Commentarii Mathematici Helvetici. 72(3). 411–425. 3 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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