Sylvain Paris

13 total papers · 488 total citations
7 papers, 388 citations indexed

About

Sylvain Paris is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Sylvain Paris has authored 7 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Computer Graphics and Computer-Aided Design and 3 papers in Computational Mechanics. Recurrent topics in Sylvain Paris's work include Advanced Vision and Imaging (5 papers), Computer Graphics and Visualization Techniques (4 papers) and 3D Shape Modeling and Analysis (3 papers). Sylvain Paris is often cited by papers focused on Advanced Vision and Imaging (5 papers), Computer Graphics and Visualization Techniques (4 papers) and 3D Shape Modeling and Analysis (3 papers). Sylvain Paris collaborates with scholars based in United States, Hong Kong and France. Sylvain Paris's co-authors include Frédo Durand, Jiawen Chen, François X. Sillion, Long Quan, Gang Zeng, Jean‐Dominique Gascuel, Gilles Debunne, Joëlle Thollot, Mathieu Aubry and Haiting Lin and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and Digital Access to Scholarship at Harvard (DASH) (Harvard University).

In The Last Decade

Sylvain Paris

7 papers receiving 376 citations

Author Peers

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

Author						Papers	Cites
Sylvain Paris	362	104	80	33	16	7	388
Tuan Q. Pham	358 1.0×	134 1.3×	43 0.5×	46 1.4×	29 1.8×	12	425
Jiamin Bai	324 0.9×	49 0.5×	87 1.1×	20 0.6×	11 0.7×	15	361
Anna Tomaszewska	306 0.8×	105 1.0×	30 0.4×	13 0.4×	79 4.9×	7	368
Bahjat Kawar	328 0.9×	42 0.4×	86 1.1×	35 1.1×	6 0.4×	4	419
Gurunandan Krishnan	327 0.9×	98 0.9×	130 1.6×	41 1.2×	50 3.1×	5	422
G. Guy	322 0.9×	42 0.4×	65 0.8×	66 2.0×	8 0.5×	9	416
P. Saint-Marc	360 1.0×	85 0.8×	16 0.2×	50 1.5×	4 0.3×	10	428
Steve Molnar	250 0.7×	18 0.2×	317 4.0×	133 4.0×	6 0.4×	5	403
Xiaoran Jiang	356 1.0×	75 0.7×	19 0.2×	15 0.5×	15 0.9×	16	414
E. S. Deutsch	289 0.8×	45 0.4×	30 0.4×	14 0.4×	7 0.4×	9	333

Countries citing papers authored by Sylvain Paris

Since Specialization

Citations

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

Fields of papers citing papers by Sylvain Paris

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sylvain Paris

This figure shows the co-authorship network connecting the top 25 collaborators of Sylvain Paris. A scholar is included among the top collaborators of Sylvain Paris 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 Sylvain Paris. Sylvain Paris 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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