Gonzalo Urcid

31 papers and 249 indexed citations i.

About

Gonzalo Urcid is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Gonzalo Urcid has authored 31 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Media Technology, 12 papers in Computer Vision and Pattern Recognition and 10 papers in Artificial Intelligence. Recurrent topics in Gonzalo Urcid’s work include Remote-Sensing Image Classification (11 papers), Neural Networks and Applications (8 papers) and Image Retrieval and Classification Techniques (8 papers). Gonzalo Urcid is often cited by papers focused on Remote-Sensing Image Classification (11 papers), Neural Networks and Applications (8 papers) and Image Retrieval and Classification Techniques (8 papers). Gonzalo Urcid collaborates with scholars based in Mexico, United States and Puerto Rico. Gonzalo Urcid's co-authors include Gerhard X. Ritter, Alfonso Padilla‐Vivanco, Mark S. Schmalz, Alejandro Cornejo-Rodrı́guez and Carina Toxqui‐Quitl and has published in prestigious journals such as Information Sciences, Pattern Recognition and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Gonzalo Urcid i

Fields of papers citing papers by Gonzalo Urcid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gonzalo Urcid

Since Specialization
Citations

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

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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