Angélica de Antonio

47 papers and 267 indexed citations i.

About

Angélica de Antonio is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Angélica de Antonio has authored 47 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 10 papers in Human-Computer Interaction. Recurrent topics in Angélica de Antonio’s work include AI-based Problem Solving and Planning (8 papers), Data Visualization and Analytics (6 papers) and Intelligent Tutoring Systems and Adaptive Learning (6 papers). Angélica de Antonio is often cited by papers focused on AI-based Problem Solving and Planning (8 papers), Data Visualization and Analytics (6 papers) and Intelligent Tutoring Systems and Adaptive Learning (6 papers). Angélica de Antonio collaborates with scholars based in Spain, Ecuador and United Kingdom. Angélica de Antonio's co-authors include Jaime Ramírez, Elena Villalba‐Mora, Adriana Peña Pérez Negrón, Marta Berrocal‐Lobo, Pilar Herrero, Sergio Luján‐Mora, Mariano Rico, Chris Greenhalgh, Xavier Ferré and Gonzalo Méndez and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and International Journal of Environmental Research and Public Health.

In The Last Decade

Co-authorship network of co-authors of Angélica de Antonio i

Fields of papers citing papers by Angélica de Antonio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Angélica de Antonio. 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 Angélica de Antonio. The network helps show where Angélica de Antonio may publish in the future.

Countries citing papers authored by Angélica de Antonio

Since Specialization
Citations

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