Frédéric Cazals

3.0k total citations
82 papers, 1.8k citations indexed

About

Frédéric Cazals is a scholar working on Computer Graphics and Computer-Aided Design, Molecular Biology and Computational Mechanics. According to data from OpenAlex, Frédéric Cazals has authored 82 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Graphics and Computer-Aided Design, 29 papers in Molecular Biology and 23 papers in Computational Mechanics. Recurrent topics in Frédéric Cazals's work include Protein Structure and Dynamics (23 papers), Computational Geometry and Mesh Generation (23 papers) and 3D Shape Modeling and Analysis (20 papers). Frédéric Cazals is often cited by papers focused on Protein Structure and Dynamics (23 papers), Computational Geometry and Mesh Generation (23 papers) and 3D Shape Modeling and Analysis (20 papers). Frédéric Cazals collaborates with scholars based in France, India and United States. Frédéric Cazals's co-authors include Marc Pouget, Jean‐Daniel Boissonnat, Chinmay Karande, Joachim Giesen, Pierre Boudinot, Frédéric Chazal, Thomas Lewiner, Claude Puech, Marie‐Paule Lefranc and George Drettakis and has published in prestigious journals such as The Journal of Chemical Physics, Bioinformatics and Journal of Computational Physics.

In The Last Decade

Frédéric Cazals

80 papers receiving 1.7k 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 Cazals France 20 688 615 455 336 242 82 1.8k
Xinguo Liu China 30 1.1k 1.6× 1.1k 1.8× 966 2.1× 400 1.2× 204 0.8× 180 3.0k
Yusu Wang United States 25 357 0.5× 340 0.6× 461 1.0× 302 0.9× 473 2.0× 113 1.6k
Jim Ruppert United States 11 298 0.4× 561 0.9× 194 0.4× 416 1.2× 365 1.5× 13 1.3k
R.A. Jarvis Australia 17 151 0.2× 193 0.3× 1.1k 2.5× 168 0.5× 188 0.8× 69 2.6k
Michael Meißner Germany 18 187 0.3× 287 0.5× 297 0.7× 281 0.8× 66 0.3× 52 1.2k
Andrew Delong Canada 11 105 0.2× 55 0.1× 692 1.5× 1.7k 5.0× 166 0.7× 14 3.2k
Rolf Klein Germany 20 202 0.3× 715 1.2× 487 1.1× 46 0.1× 161 0.7× 109 1.5k
Frédéric Chazal France 23 423 0.6× 375 0.6× 663 1.5× 139 0.4× 1.2k 4.9× 63 1.9k
Vijay Natarajan India 24 195 0.3× 374 0.6× 838 1.8× 118 0.4× 798 3.3× 89 1.5k
Alex Bronstein Israel 28 772 1.1× 236 0.4× 1.8k 3.9× 189 0.6× 54 0.2× 100 2.8k

Countries citing papers authored by Frédéric Cazals

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Cazals

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frédéric Cazals

This figure shows the co-authorship network connecting the top 25 collaborators of Frédéric Cazals. A scholar is included among the top collaborators of Frédéric Cazals 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 Cazals. Frédéric Cazals 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.
Cazals, Frédéric, et al.. (2025). Simpler Protein Domain Identification Using Spectral Clustering. Proteins Structure Function and Bioinformatics. 93(7). 1212–1225. 1 indexed citations
2.
Cazals, Frédéric. (2024). A mini-review of clustering algorithms and their theoretical properties, with applications to molecular science. SPIRE - Sciences Po Institutional REpository.
3.
Cazals, Frédéric, et al.. (2023). Enhanced conformational exploration of protein loops using a global parameterization of the backbone geometry. Journal of Computational Chemistry. 44(11). 1094–1104. 2 indexed citations
4.
Cazals, Frédéric, et al.. (2023). Geometric constraints within tripeptides and the existence of tripeptide reconstructions. Journal of Computational Chemistry. 44(13). 1236–1249. 1 indexed citations
5.
Broutin, Isabelle, et al.. (2020). Studying dynamics without explicit dynamics: A structure‐based study of the export mechanism by AcrB. Proteins Structure Function and Bioinformatics. 89(3). 259–275. 6 indexed citations
6.
Magadán, Susana, Luc Jouneau, Adrien Six, et al.. (2018). Origin of Public Memory B Cell Clones in Fish After Antiviral Vaccination. Frontiers in Immunology. 9. 2115–2115. 15 indexed citations
7.
Grudinin, Sergei, et al.. (2016). Predicting binding poses and affinities for protein - ligand complexes in the 2015 D3R Grand Challenge using a physical model with a statistical parameter estimation. Journal of Computer-Aided Molecular Design. 30(9). 791–804. 9 indexed citations
8.
Caillouet, Christelle, et al.. (2015). Unveiling Contacts within Macromolecular Assemblies by Solving Minimum Weight Connectivity Inference (MWC) Problems*. Molecular & Cellular Proteomics. 14(8). 2274–2284. 5 indexed citations
9.
Boudinot, Pierre, et al.. (2015). High-resolution crystal structures leverage protein binding affinity predictions. Proteins Structure Function and Bioinformatics. 84(1). 9–20. 24 indexed citations
10.
Castro, Rosario, Luc Jouneau, Hang‐Phuong Pham, et al.. (2013). Teleost Fish Mount Complex Clonal IgM and IgT Responses in Spleen upon Systemic Viral Infection. PLoS Pathogens. 9(1). e1003098–e1003098. 152 indexed citations
11.
Cazals, Frédéric & David Cohen‐Steiner. (2011). Reconstructing 3D compact sets. Computational Geometry. 45(1-2). 1–13. 7 indexed citations
12.
Cazals, Frédéric, et al.. (2010). ESBTL: efficient PDB parser and data structure for the structural and geometric analysis of biological macromolecules. Bioinformatics. 26(8). 1127–1128. 6 indexed citations
13.
Sachdeva, Sushant, et al.. (2009). On the Characterization and Selection of Diverse Conformational Ensembles with Applications to Flexible Docking. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 8(2). 487–498. 4 indexed citations
14.
Cazals, Frédéric & Chinmay Karande. (2008). A note on the problem of reporting maximal cliques. Theoretical Computer Science. 407(1-3). 564–568. 143 indexed citations
15.
Cazals, Frédéric, et al.. (2008). Computing the arrangement of circles on a sphere, with applications in structural biology. Computational Geometry. 42(6-7). 551–565. 7 indexed citations
16.
Cazals, Frédéric, et al.. (2006). Revisiting the Voronoi description of protein–protein interfaces. Protein Science. 15(9). 2082–2092. 53 indexed citations
17.
Cazals, Frédéric & Chinmay Karande. (2005). An algorithm for reporting maximal c-cliques. Theoretical Computer Science. 349(3). 484–490. 13 indexed citations
18.
Cazals, Frédéric & Chinmay Karande. (2005). Reporting maximal cliques: new insights into an old problem. HAL (Le Centre pour la Communication Scientifique Directe). 25. 11 indexed citations
19.
Cazals, Frédéric, et al.. (2004). Revisiting the description of Protein-Protein interfaces. Part I: Algorithms. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations
20.
Boissonnat, Jean‐Daniel & Frédéric Cazals. (2002). Smooth surface reconstruction via natural neighbour interpolation of distance functions. Computational Geometry. 22(1-3). 185–203. 113 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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