Aida de Haro-García

21 papers and 359 indexed citations i.

About

Aida de Haro-García is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Aida de Haro-García has authored 21 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 7 papers in Information Systems and 2 papers in Molecular Biology. Recurrent topics in Aida de Haro-García’s work include Machine Learning and Data Classification (16 papers), Imbalanced Data Classification Techniques (9 papers) and Data Mining Algorithms and Applications (5 papers). Aida de Haro-García is often cited by papers focused on Machine Learning and Data Classification (16 papers), Imbalanced Data Classification Techniques (9 papers) and Data Mining Algorithms and Applications (5 papers). Aida de Haro-García collaborates with scholars based in Spain. Aida de Haro-García's co-authors include Nicolás García‐Pedrajas, Javier Pérez-Rodríguez, Gonzalo Cerruela García and César García‐Osorio and has published in prestigious journals such as Information Sciences, Pattern Recognition and Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Aida de Haro-García i

Fields of papers citing papers by Aida de Haro-García

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aida de Haro-García. 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 Aida de Haro-García. The network helps show where Aida de Haro-García may publish in the future.

Countries citing papers authored by Aida de Haro-García

Since Specialization
Citations

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