Romain Pacanowski

113 total papers · 523 total citations
22 papers, 334 citations indexed

About

Romain Pacanowski is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Romain Pacanowski has authored 22 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Graphics and Computer-Aided Design, 13 papers in Computer Vision and Pattern Recognition and 8 papers in Computational Mechanics. Recurrent topics in Romain Pacanowski's work include Computer Graphics and Visualization Techniques (15 papers), Advanced Vision and Imaging (9 papers) and 3D Shape Modeling and Analysis (6 papers). Romain Pacanowski is often cited by papers focused on Computer Graphics and Visualization Techniques (15 papers), Advanced Vision and Imaging (9 papers) and 3D Shape Modeling and Analysis (6 papers). Romain Pacanowski collaborates with scholars based in France, Canada and Belgium. Romain Pacanowski's co-authors include Xavier Granier, Pascal Barla, Nicolas Holzschuch, Christophe Schlick, Romain Vergne, Philippe Lalanne, Kévin Vynck, Pierre Poulin, Annie Cuyt and Laurent Belcour and has published in prestigious journals such as Nature Materials, Optics Express and ACM Transactions on Graphics.

In The Last Decade

Romain Pacanowski

17 papers receiving 322 citations

Author Peers

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

Author						Papers	Cites
Romain Pacanowski	172	153	106	71	44	22	334
Andrea Weidlich	208 1.2×	152 1.0×	112 1.1×	72 1.0×	10 0.2×	31	293
Marios Papas	248 1.4×	246 1.6×	161 1.5×	43 0.6×	24 0.5×	17	370
Marcos Fajardo	216 1.3×	213 1.4×	97 0.9×	22 0.3×	37 0.8×	15	296
Fujun Luan	312 1.8×	285 1.9×	239 2.3×	16 0.2×	32 0.7×	27	397
Lang Zhou	17 0.1×	50 0.3×	28 0.3×	61 0.9×	19 0.4×	29	311
Jan Meseth	314 1.8×	230 1.5×	231 2.2×	19 0.3×	21 0.5×	19	364
Ian Ashdown	56 0.3×	122 0.8×	33 0.3×	123 1.7×	3 0.1×	33	399
Marinella Greco	11 0.1×	73 0.5×	39 0.4×	25 0.4×	99 2.3×	22	323
Philippe Martinez	79 0.5×	122 0.8×	13 0.1×	11 0.2×	119 2.7×	13	313
Frédéric Leloup	39 0.2×	74 0.5×	114 1.1×	155 2.2×	5 0.1×	40	337

Countries citing papers authored by Romain Pacanowski

Since Specialization

Citations

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

Fields of papers citing papers by Romain Pacanowski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Romain Pacanowski

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