Daniel Vaquero

22 papers and 232 indexed citations i.

About

Daniel Vaquero is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daniel Vaquero has authored 22 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 10 papers in Materials Chemistry and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daniel Vaquero’s work include Advanced Vision and Imaging (8 papers), 2D Materials and Applications (7 papers) and Perovskite Materials and Applications (5 papers). Daniel Vaquero is often cited by papers focused on Advanced Vision and Imaging (8 papers), 2D Materials and Applications (7 papers) and Perovskite Materials and Applications (5 papers). Daniel Vaquero collaborates with scholars based in Spain, United States and Japan. Daniel Vaquero's co-authors include Marius Tico, Kari Pulli, Natasha Gelfand, Matthew Turk, E. Díez, Jorge Quereda, F. Domı́nguez-Adame, Elena Díaz, Jong Min Baek and Wojciech Matusik and has published in prestigious journals such as Nature Communications, Nanoscale and Communications of the ACM.

In The Last Decade

Co-authorship network of co-authors of Daniel Vaquero i

Fields of papers citing papers by Daniel Vaquero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Vaquero

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025