Fernando Enríquez

24 papers and 317 indexed citations i.

About

Fernando Enríquez is a scholar working on Artificial Intelligence, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Fernando Enríquez has authored 24 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Surgery and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Fernando Enríquez’s work include Topic Modeling (7 papers), Advanced Text Analysis Techniques (5 papers) and Cardiac Structural Anomalies and Repair (5 papers). Fernando Enríquez is often cited by papers focused on Topic Modeling (7 papers), Advanced Text Analysis Techniques (5 papers) and Cardiac Structural Anomalies and Repair (5 papers). Fernando Enríquez collaborates with scholars based in Spain and Colombia. Fernando Enríquez's co-authors include José A. Troyano, Fermín L. Cruz, F. Javier Ortega, Óscar Déniz, Juan A. Álvarez-García, Juán José Rufilanchas, Juan José González de la Rosa, Luis Maroto, Vı́ctor Fairén and Enrique Pérez de la Sota and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and The Annals of Thoracic Surgery.

In The Last Decade

Co-authorship network of co-authors of Fernando Enríquez i

Fields of papers citing papers by Fernando Enríquez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fernando Enríquez

Since Specialization
Citations

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