Ángela Di Serio

7 papers and 1.3k indexed citations i.

About

Ángela Di Serio is a scholar working on Computer Vision and Pattern Recognition, Developmental and Educational Psychology and Human-Computer Interaction. According to data from OpenAlex, Ángela Di Serio has authored 7 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 5 papers in Developmental and Educational Psychology and 3 papers in Human-Computer Interaction. Recurrent topics in Ángela Di Serio’s work include Augmented Reality Applications (5 papers), Virtual Reality Applications and Impacts (3 papers) and Educational Games and Gamification (3 papers). Ángela Di Serio is often cited by papers focused on Augmented Reality Applications (5 papers), Virtual Reality Applications and Impacts (3 papers) and Educational Games and Gamification (3 papers). Ángela Di Serio collaborates with scholars based in Spain, Venezuela and Chile. Ángela Di Serio's co-authors include Carlos Delgado Kloos, María Blanca Ibáñez, Isabel Hilliger, Vicente Martín, Miguél Nussbaum and Alejandra Meneses and has published in prestigious journals such as Computers & Education, Educational Technology Research and Development and IEEE Transactions on Education.

In The Last Decade

Co-authorship network of co-authors of Ángela Di Serio i

Fields of papers citing papers by Ángela Di Serio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ángela Di Serio. 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 Ángela Di Serio. The network helps show where Ángela Di Serio may publish in the future.

Countries citing papers authored by Ángela Di Serio

Since Specialization
Citations

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