Rubén Cárdenes

65 total papers · 1.1k total citations
36 papers, 744 citations indexed

About

Rubén Cárdenes is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Rubén Cárdenes has authored 36 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 16 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Rubén Cárdenes's work include Medical Image Segmentation Techniques (13 papers), Cerebrovascular and Carotid Artery Diseases (10 papers) and Advanced MRI Techniques and Applications (6 papers). Rubén Cárdenes is often cited by papers focused on Medical Image Segmentation Techniques (13 papers), Cerebrovascular and Carotid Artery Diseases (10 papers) and Advanced MRI Techniques and Applications (6 papers). Rubén Cárdenes collaborates with scholars based in Spain, United States and United Kingdom. Rubén Cárdenes's co-authors include Ignacio Larrabide, Alejandro F. Frangi, Rodrigo de Luis‐García, Meritxell Bach Cuadra, Hrvoje Bogunović, José M. Pozo, Claudio Chiastra, Francesco Migliavacca, Stefano Morlacchi and Diego Gallo and has published in prestigious journals such as PLoS ONE, NeuroImage and IEEE Transactions on Medical Imaging.

In The Last Decade

Rubén Cárdenes

36 papers receiving 721 citations

Author Peers

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

Author						Papers	Cites
Rubén Cárdenes	238	226	205	164	164	36	744
Jianmin Yuan	229 1.0×	350 1.5×	153 0.7×	120 0.7×	96 0.6×	54	683
Antonella Balestrieri	199 0.8×	228 1.0×	74 0.4×	199 1.2×	106 0.6×	49	776
Yi Wang	241 1.0×	306 1.4×	119 0.6×	69 0.4×	97 0.6×	96	845
Takahiko Asano	393 1.7×	127 0.6×	144 0.7×	252 1.5×	62 0.4×	46	864
Pengfei Shao	139 0.6×	149 0.7×	102 0.5×	40 0.2×	104 0.6×	64	798
J.-Y. Boire	107 0.4×	207 0.9×	50 0.2×	34 0.2×	138 0.8×	48	623
Paul R. Detmer	269 1.1×	268 1.2×	170 0.8×	268 1.6×	171 1.0×	18	682
Zihao Zhang	213 0.9×	122 0.5×	65 0.3×	41 0.3×	70 0.4×	77	853
Jonathan Gryak	79 0.3×	185 0.8×	102 0.5×	101 0.6×	55 0.3×	56	673
Moti Freiman	77 0.3×	438 1.9×	137 0.7×	84 0.5×	220 1.3×	68	863

Countries citing papers authored by Rubén Cárdenes

Since Specialization

Citations

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

Fields of papers citing papers by Rubén Cárdenes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rubén Cárdenes

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