Fernando Aparicio

24 papers and 228 indexed citations i.

About

Fernando Aparicio is a scholar working on Ecology, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Fernando Aparicio has authored 24 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Ecology, 5 papers in Artificial Intelligence and 4 papers in Molecular Biology. Recurrent topics in Fernando Aparicio’s work include Marine animal studies overview (8 papers), Semantic Web and Ontologies (5 papers) and Biomedical Text Mining and Ontologies (4 papers). Fernando Aparicio is often cited by papers focused on Marine animal studies overview (8 papers), Semantic Web and Ontologies (5 papers) and Biomedical Text Mining and Ontologies (4 papers). Fernando Aparicio collaborates with scholars based in Spain, United States and Portugal. Fernando Aparicio's co-authors include Manuel de Buenaga Rodríguez, Luis Mariano González, Diego Gachet Páez, M. Gažo, Asunción Hernando, Margarita Rubio Alonso, Florentino Fdez‐Riverola, Daniel Glez‐Peña, Hugo López-Fernández and Álex Aguilar and has published in prestigious journals such as Sensors, Computers & Education and Biological Journal of the Linnean Society.

In The Last Decade

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

Fields of papers citing papers by Fernando Aparicio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fernando Aparicio

Since Specialization
Citations

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