Núria Macià

8 papers and 190 indexed citations i.

About

Núria Macià is a scholar working on Artificial Intelligence, Cardiology and Cardiovascular Medicine and Clinical Psychology. According to data from OpenAlex, Núria Macià has authored 8 papers receiving a total of 190 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 1 paper in Cardiology and Cardiovascular Medicine and 1 paper in Clinical Psychology. Recurrent topics in Núria Macià’s work include Machine Learning and Data Classification (5 papers), Imbalanced Data Classification Techniques (4 papers) and Machine Learning and Algorithms (4 papers). Núria Macià is often cited by papers focused on Machine Learning and Data Classification (5 papers), Imbalanced Data Classification Techniques (4 papers) and Machine Learning and Algorithms (4 papers). Núria Macià collaborates with scholars based in Spain, United States and Andorra. Núria Macià's co-authors include Ester Bernadó-Mansilla, Tin Kam Ho, Albert Orriols-Puig, Sérgio Escalera, Bisakha Ray, Isabelle Guyon, Hugo Jair Escalante, Evelyne Viegas, Alexander Statnikov and Mehreen Saeed and has published in prestigious journals such as BMJ, Information Sciences and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Núria Macià i

Fields of papers citing papers by Núria Macià

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Núria Macià

Since Specialization
Citations

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