Alicia Martínez

39 papers and 155 indexed citations i.

About

Alicia Martínez is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Alicia Martínez has authored 39 papers receiving a total of 155 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 10 papers in Information Systems and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Alicia Martínez’s work include Technology Use by Older Adults (5 papers), Business Process Modeling and Analysis (4 papers) and Emotion and Mood Recognition (3 papers). Alicia Martínez is often cited by papers focused on Technology Use by Older Adults (5 papers), Business Process Modeling and Analysis (4 papers) and Emotion and Mood Recognition (3 papers). Alicia Martínez collaborates with scholars based in Mexico, Spain and Italy. Alicia Martínez's co-authors include Hugo Estrada, Yasmín Hernández, Dante Mújica‐Vargas, Vicente Pelechano, Germán Moltó, J.J. Flores-Prieto, Jesús Favela, Miguel González-Mendoza, Hersholt C. Waxman and Juan Pablo Garćıa-Vázquez and has published in prestigious journals such as Scientific Reports, Sensors and Computers & Education.

In The Last Decade

Co-authorship network of co-authors of Alicia Martínez i

Fields of papers citing papers by Alicia Martínez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alicia Martínez

Since Specialization
Citations

This map shows the geographic impact of Alicia Martínez'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 Alicia Martínez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alicia Martínez 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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2025