Noelia Vállez

26 papers and 298 indexed citations i.

About

Noelia Vállez is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Noelia Vállez has authored 26 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Noelia Vállez’s work include AI in cancer detection (8 papers), Anomaly Detection Techniques and Applications (6 papers) and Cell Image Analysis Techniques (5 papers). Noelia Vállez is often cited by papers focused on AI in cancer detection (8 papers), Anomaly Detection Techniques and Applications (6 papers) and Cell Image Analysis Techniques (5 papers). Noelia Vállez collaborates with scholars based in Spain, Switzerland and Ireland. Noelia Vállez's co-authors include Óscar Déniz, Gloria Bueno, Jesús Ruiz-Santaquiteria, Gabriel Cristóbal, Jesús Salido, Aníbal Pedraza, Carlos Pastor‐Vargas, M. Milagro Fernández-Carrobles, José Luís Espinosa-Aranda and Julián Dorado and has published in prestigious journals such as PLoS ONE, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Noelia Vállez i

Fields of papers citing papers by Noelia Vállez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Noelia Vállez

Since Specialization
Citations

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