Diego García‐Gil

About

Diego García‐Gil is a scholar working on Artificial Intelligence, Computer Networks and Communications and Health Information Management. According to data from OpenAlex, Diego García‐Gil has authored 15 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 3 papers in Health Information Management. Recurrent topics in Diego García‐Gil’s work include Imbalanced Data Classification Techniques (8 papers), Anomaly Detection Techniques and Applications (6 papers) and Machine Learning and Data Classification (5 papers). Diego García‐Gil is often cited by papers focused on Imbalanced Data Classification Techniques (8 papers), Anomaly Detection Techniques and Applications (6 papers) and Machine Learning and Data Classification (5 papers). Diego García‐Gil collaborates with scholars based in Spain, Saudi Arabia and Luxembourg. Diego García‐Gil's co-authors include Francisco Herrera, Salvador García, Julián Luengo, Isaac Triguero, Jesús Maillo, Sergio Ramírez‐Gallego, M. Martínez-Ballesteros, Jesús Alcalá‐Fdez, José C. Riquelme and Jacinto Carrasco and has published in prestigious journals such as Information Sciences, Neurocomputing and Knowledge-Based Systems.

In The Last Decade

Co-authorship network of co-authors of Diego García‐Gil i

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Fields of papers citing papers by Diego García‐Gil

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diego García‐Gil. 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 Diego García‐Gil. The network helps show where Diego García‐Gil may publish in the future.

Countries citing papers authored by Diego García‐Gil

Since Specialization

Citations

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