José C. Rubio

13 total papers · 582 total citations
9 papers, 405 citations indexed

About

José C. Rubio is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, José C. Rubio has authored 9 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Automotive Engineering. Recurrent topics in José C. Rubio's work include Advanced Image and Video Retrieval Techniques (3 papers), Image Retrieval and Classification Techniques (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). José C. Rubio is often cited by papers focused on Advanced Image and Video Retrieval Techniques (3 papers), Image Retrieval and Classification Techniques (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). José C. Rubio collaborates with scholars based in Spain, Germany and Switzerland. José C. Rubio's co-authors include Joan Serrat, Antonio M. López, Nikos Paragios, Björn Ommer, Anna-Sophia Wahl, Wolfgang Omlor, Kenta Kobayashi, Jerry L. Chen, Miriam Gullo and Hongwei Zheng and has published in prestigious journals such as Science, Pattern Recognition and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

José C. Rubio

8 papers receiving 398 citations

Author Peers

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

Author						Papers	Cites
José C. Rubio	137	127	123	64	58	9	405
Yi-Ting Cheng	102 0.7×	93 0.7×	46 0.4×	51 0.8×	14 0.2×	18	459
Nicolas Stifani	109 0.8×	43 0.3×	25 0.2×	61 1.0×	59 1.0×	9	444
Jane Roskams	125 0.9×	28 0.2×	24 0.2×	52 0.8×	57 1.0×	11	373
Gaspard Gerschenfeld	84 0.6×	60 0.5×	11 0.1×	36 0.6×	17 0.3×	11	435
Felix Bernhard	103 0.8×	45 0.4×	13 0.1×	72 1.1×	12 0.2×	22	471
Rishi Bhatnagar	75 0.5×	43 0.3×	22 0.2×	126 2.0×	113 1.9×	16	469
Matt C. Gabel	39 0.3×	19 0.1×	112 0.9×	9 0.1×	22 0.4×	7	478
Keith Tatsukawa	198 1.4×	82 0.6×	11 0.1×	64 1.0×	8 0.1×	13	480
Fan Jiang	233 1.7×	118 0.9×	19 0.2×	156 2.4×	63 1.1×	14	467
Mathew Abrams	127 0.9×	38 0.3×	9 0.1×	49 0.8×	142 2.4×	23	422

Countries citing papers authored by José C. Rubio

Since Specialization

Citations

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

Fields of papers citing papers by José C. Rubio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José C. Rubio. 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 José C. Rubio. The network helps show where José C. Rubio may publish in the future.

Co-authorship network of co-authors of José C. Rubio

This figure shows the co-authorship network connecting the top 25 collaborators of José C. Rubio. A scholar is included among the top collaborators of José C. Rubio 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 José C. Rubio. José C. Rubio 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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