Mario Muñoz-Organero

86 papers and 1.2k indexed citations i.

About

Mario Muñoz-Organero is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Mario Muñoz-Organero has authored 86 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 15 papers in Information Systems. Recurrent topics in Mario Muñoz-Organero’s work include Context-Aware Activity Recognition Systems (9 papers), Innovative Teaching and Learning Methods (9 papers) and Vehicle emissions and performance (8 papers). Mario Muñoz-Organero is often cited by papers focused on Context-Aware Activity Recognition Systems (9 papers), Innovative Teaching and Learning Methods (9 papers) and Vehicle emissions and performance (8 papers). Mario Muñoz-Organero collaborates with scholars based in Spain, United Kingdom and Colombia. Mario Muñoz-Organero's co-authors include Carlos Delgado Kloos, Víctor Corcoba Magaña, Pedro J. Muñoz‐Merino, Gustavo Ramírez-González, N. Arunkumar, Enas Abdulhay, Ben Heller, Luis Sánchez Fernández, Joaquı́n Sánchez-Soriano and Lauren Powell and has published in prestigious journals such as Expert Systems with Applications, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Mario Muñoz-Organero i

Fields of papers citing papers by Mario Muñoz-Organero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mario Muñoz-Organero

Since Specialization
Citations

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