Fabrice Jaillet

71 total papers · 412 total citations
14 papers, 137 citations indexed

About

Fabrice Jaillet is a scholar working on Computational Mechanics, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fabrice Jaillet has authored 14 papers receiving a total of 137 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Mechanics, 5 papers in Computer Graphics and Computer-Aided Design and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fabrice Jaillet's work include 3D Shape Modeling and Analysis (6 papers), Computer Graphics and Visualization Techniques (5 papers) and Medical Image Segmentation Techniques (4 papers). Fabrice Jaillet is often cited by papers focused on 3D Shape Modeling and Analysis (6 papers), Computer Graphics and Visualization Techniques (5 papers) and Medical Image Segmentation Techniques (4 papers). Fabrice Jaillet collaborates with scholars based in France, Chile and Brazil. Fabrice Jaillet's co-authors include Francisco J. Galdames, Carlos A. Perez, Behzad Shariat, Gabriel R. Barrenechea, Frédéric Valentin, Mahmoud Melkemi, Michaël Beuve, Richard Moreau, Fabienne Coury and P. A. Estévez and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, Radiotherapy and Oncology and Journal of Neuroscience Methods.

In The Last Decade

Fabrice Jaillet

12 papers receiving 131 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Fabrice Jaillet	68	38	38	30	22	14	137
Jiřı́ Hladůvka	120 1.8×	15 0.4×	5 0.1×	63 2.1×	32 1.5×	22	224
Yongming Xie	69 1.0×	9 0.2×	7 0.2×	50 1.7×	7 0.3×	22	188
Dinggang Shen	157 2.3×	29 0.8×	15 0.4×	61 2.0×	3 0.1×	15	222
Fan Yang	45 0.7×	7 0.2×	10 0.3×	26 0.9×	6 0.3×	24	139
Zhengyu Su	85 1.3×	127 3.3×	4 0.1×	30 1.0×	76 3.5×	18	232
Duowen Chen	150 2.2×	33 0.9×	55 1.4×	68 2.3×	9 0.4×	12	227
Stavros Tsogkas	189 2.8×	15 0.4×	30 0.8×	38 1.3×	8 0.4×	10	248
Guntram Berti	21 0.3×	26 0.7×	14 0.4×	50 1.7×	20 0.9×	17	240
Minfeng Xu	181 2.7×	18 0.5×	55 1.4×	111 3.7×	12 0.5×	15	281
Zhuangzi Li	168 2.5×	20 0.5×	6 0.2×	9 0.3×	10 0.5×	14	230

Countries citing papers authored by Fabrice Jaillet

Since Specialization

Citations

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

Fields of papers citing papers by Fabrice Jaillet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabrice Jaillet

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

All Works

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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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