Clément Jailin

73 total papers · 652 total citations
31 papers, 469 citations indexed

About

Clément Jailin is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Clément Jailin has authored 31 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Biomedical Engineering and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Clément Jailin's work include Medical Imaging Techniques and Applications (11 papers), Optical measurement and interference techniques (9 papers) and Advanced X-ray and CT Imaging (8 papers). Clément Jailin is often cited by papers focused on Medical Imaging Techniques and Applications (11 papers), Optical measurement and interference techniques (9 papers) and Advanced X-ray and CT Imaging (8 papers). Clément Jailin collaborates with scholars based in France, Germany and Sweden. Clément Jailin's co-authors include Stéphane Roux, François Hild, Amine Bouterf, Ante Buljac, Arturo Mendoza, Thibault Taillandier-Thomas, Benjamin Smaniotto, Jan Neggers, Martin Poncelet and Ludovic Chamoin and has published in prestigious journals such as Cement and Concrete Research, Computer Methods in Applied Mechanics and Engineering and Journal of the Mechanics and Physics of Solids.

In The Last Decade

Clément Jailin

28 papers receiving 450 citations

Author Peers

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

Author						Papers	Cites
Clément Jailin	157	144	111	108	84	31	469
Amir Movafeghi	142 0.9×	58 0.4×	117 1.1×	150 1.4×	42 0.5×	67	415
Min Yang	77 0.5×	119 0.8×	166 1.5×	132 1.2×	166 2.0×	51	536
Ante Buljac	238 1.5×	122 0.8×	94 0.8×	270 2.5×	35 0.4×	19	523
Benjamin Smaniotto	153 1.0×	99 0.7×	87 0.8×	113 1.0×	25 0.3×	27	410
Angelo Tatì	155 1.0×	39 0.3×	48 0.4×	77 0.7×	32 0.4×	44	447
Martin Poncelet	265 1.7×	149 1.0×	53 0.5×	166 1.5×	23 0.3×	29	473
Nenad Mihajlović	79 0.5×	54 0.4×	148 1.3×	183 1.7×	79 0.9×	28	538
Pierre Jacquot	90 0.6×	324 2.3×	102 0.9×	124 1.1×	20 0.2×	49	514
D.J. Schneberk	39 0.2×	38 0.3×	198 1.8×	50 0.5×	170 2.0×	33	411
Qiang Lin	99 0.6×	31 0.2×	59 0.5×	127 1.2×	120 1.4×	35	433

Countries citing papers authored by Clément Jailin

Since Specialization

Citations

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

Fields of papers citing papers by Clément Jailin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clément Jailin

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