Valerio De Luca

About

Valerio De Luca is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Geology. According to data from OpenAlex, Valerio De Luca has authored 23 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 9 papers in Human-Computer Interaction and 9 papers in Geology. Recurrent topics in Valerio De Luca’s work include Augmented Reality Applications (10 papers), 3D Surveying and Cultural Heritage (9 papers) and Virtual Reality Applications and Impacts (8 papers). Valerio De Luca is often cited by papers focused on Augmented Reality Applications (10 papers), 3D Surveying and Cultural Heritage (9 papers) and Virtual Reality Applications and Impacts (8 papers). Valerio De Luca collaborates with scholars based in Italy and Spain. Valerio De Luca's co-authors include Lucio Tommaso De Paolis, Marta Barba, Sara Invitto, Daniele Lezzi, Maria Rosaria Tumolo, Eugenio Sabato, Giovanni D’Errico, Saverio Sabina, Carlo Giacomo Leo and Italo Epicoco and has published in prestigious journals such as Sensors, Multimedia Tools and Applications and Information Systems Frontiers.

In The Last Decade

Co-authorship network of co-authors of Valerio De Luca i

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Fields of papers citing papers by Valerio De Luca

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Valerio De Luca. 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 Valerio De Luca. The network helps show where Valerio De Luca may publish in the future.

Countries citing papers authored by Valerio De Luca

Since Specialization

Citations

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