Laura Morán‐Fernández

About

Laura Morán‐Fernández is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Laura Morán‐Fernández has authored 20 papers receiving a total of 179 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 7 papers in Molecular Biology and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Laura Morán‐Fernández’s work include Machine Learning and Data Classification (10 papers), Gene expression and cancer classification (7 papers) and Face and Expression Recognition (6 papers). Laura Morán‐Fernández is often cited by papers focused on Machine Learning and Data Classification (10 papers), Gene expression and cancer classification (7 papers) and Face and Expression Recognition (6 papers). Laura Morán‐Fernández collaborates with scholars based in Spain and United Kingdom. Laura Morán‐Fernández's co-authors include Verónica Bolón‐Canedo, Amparo Alonso‐Betanzos, Brais Cancela, Noelia Sánchez‐Maroño, Beatriz Remeseiro, Konstantinos Sechidis, Gavin Brown, Borja Seijo-Pardo, Pablo Montero‐Manso and Juan Touriño 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 Laura Morán‐Fernández i

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Fields of papers citing papers by Laura Morán‐Fernández

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura Morán‐Fernández. 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 Laura Morán‐Fernández. The network helps show where Laura Morán‐Fernández may publish in the future.

Countries citing papers authored by Laura Morán‐Fernández

Since Specialization

Citations

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