Ramón Moreno

86 total papers · 881 total citations
43 papers, 570 citations indexed

About

Ramón Moreno is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Ramón Moreno has authored 43 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 8 papers in Biomedical Engineering. Recurrent topics in Ramón Moreno's work include Image Retrieval and Classification Techniques (9 papers), Astro and Planetary Science (5 papers) and Color Science and Applications (4 papers). Ramón Moreno is often cited by papers focused on Image Retrieval and Classification Techniques (9 papers), Astro and Planetary Science (5 papers) and Color Science and Applications (4 papers). Ramón Moreno collaborates with scholars based in Brazil, Spain and France. Ramón Moreno's co-authors include B. Gross, Manuel Graña, E. Lellouch, G. Paubert, Kurosh Madani, Christophe Sabourin, Lênio Soares Galvão, Francesco Corona, Amaury Lendasse and S.S. Furuie and has published in prestigious journals such as Physical review. B, Condensed matter, Journal of Applied Physics and The Astrophysical Journal.

In The Last Decade

Ramón Moreno

41 papers receiving 542 citations

Author Peers

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

Author Last Decade Papers Cites
Ramón Moreno 185 100 96 84 83 43 570
Hui Zhang 236 1.3× 49 0.5× 46 0.5× 97 1.2× 58 0.7× 83 689
Yijun Chen 78 0.4× 68 0.7× 31 0.3× 99 1.2× 108 1.3× 72 557
Rui Han 32 0.2× 69 0.7× 40 0.4× 32 0.4× 162 2.0× 55 525
C J Evans 64 0.3× 37 0.4× 142 1.5× 42 0.5× 313 3.8× 57 696
Li Qin 78 0.4× 20 0.2× 14 0.1× 49 0.6× 118 1.4× 46 523
Long Gao 42 0.2× 71 0.7× 44 0.5× 133 1.6× 134 1.6× 50 496
James W. Alexander 216 1.2× 67 0.7× 13 0.1× 24 0.3× 187 2.3× 45 639
Zhengyu Zhao 65 0.4× 140 1.4× 13 0.1× 23 0.3× 77 0.9× 44 562
Xiaohui Song 262 1.4× 8 0.1× 102 1.1× 85 1.0× 68 0.8× 50 682
Lei Liu 395 2.1× 49 0.5× 40 0.4× 19 0.2× 79 1.0× 54 572

Countries citing papers authored by Ramón Moreno

Since Specialization
Citations

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

Fields of papers citing papers by Ramón Moreno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramón Moreno

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