José García-Nieto

73 papers and 2.4k indexed citations i.

About

José García-Nieto is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, José García-Nieto has authored 73 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 28 papers in Computational Theory and Mathematics and 20 papers in Molecular Biology. Recurrent topics in José García-Nieto’s work include Advanced Multi-Objective Optimization Algorithms (20 papers), Metaheuristic Optimization Algorithms Research (19 papers) and Evolutionary Algorithms and Applications (18 papers). José García-Nieto is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (20 papers), Metaheuristic Optimization Algorithms Research (19 papers) and Evolutionary Algorithms and Applications (18 papers). José García-Nieto collaborates with scholars based in Spain, Argentina and France. José García-Nieto's co-authors include Enrique Alba, Antonio J. Nebro, Rafia Mumtaz, Juan J. Durillo, Ana Carolina Olivera, Carlos A. Coello Coello, Francisco Luna, José F. Aldana‐Montes, Syed Ali Hassan and Uferah Shafi and has published in prestigious journals such as Bioinformatics, Molecules and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of José García-Nieto i

Fields of papers citing papers by José García-Nieto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by José García-Nieto

Since Specialization
Citations

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