Alberto Muñoz

20 papers and 344 indexed citations i.

About

Alberto Muñoz is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistics and Probability. According to data from OpenAlex, Alberto Muñoz has authored 20 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 8 papers in Statistics and Probability. Recurrent topics in Alberto Muñoz’s work include Neural Networks and Applications (12 papers), Advanced Statistical Methods and Models (6 papers) and Face and Expression Recognition (6 papers). Alberto Muñoz is often cited by papers focused on Neural Networks and Applications (12 papers), Advanced Statistical Methods and Models (6 papers) and Face and Expression Recognition (6 papers). Alberto Muñoz collaborates with scholars based in Spain, United Kingdom and Argentina. Alberto Muñoz's co-authors include Javier M. Moguerza, Manuel Martín-Merino, Javier González, Isaac Martín de Diego, H. Miguélez and J.L. Cantero and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Neurocomputing and Machine Learning.

In The Last Decade

Co-authorship network of co-authors of Alberto Muñoz i

Fields of papers citing papers by Alberto Muñoz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alberto Muñoz

Since Specialization
Citations

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