Pilar García-Díaz

23 papers and 391 indexed citations i.

About

Pilar García-Díaz is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Polymers and Plastics. According to data from OpenAlex, Pilar García-Díaz has authored 23 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electrical and Electronic Engineering, 7 papers in Artificial Intelligence and 5 papers in Polymers and Plastics. Recurrent topics in Pilar García-Díaz’s work include Machine Learning and ELM (4 papers), Additive Manufacturing and 3D Printing Technologies (3 papers) and Conducting polymers and applications (3 papers). Pilar García-Díaz is often cited by papers focused on Machine Learning and ELM (4 papers), Additive Manufacturing and 3D Printing Technologies (3 papers) and Conducting polymers and applications (3 papers). Pilar García-Díaz collaborates with scholars based in Spain, United States and Switzerland. Pilar García-Díaz's co-authors include Ana M. Díez‐Pascual, Rafael Peña Capilla, José A. Luceño, Sancho Salcedo‐Sanz, L. Cornejo-Bueno, José Carlos Nieto Borge, A. Portilla-Figueras, Javier Del Ser, S. Jiménez‐Fernández and Miren Nekane Bilbao and has published in prestigious journals such as International Journal of Molecular Sciences, Renewable Energy and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Pilar García-Díaz i

Fields of papers citing papers by Pilar García-Díaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pilar García-Díaz

Since Specialization
Citations

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