Daniela Trevisan

22 papers and 380 indexed citations i.

About

Daniela Trevisan is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Computer Science Applications. According to data from OpenAlex, Daniela Trevisan has authored 22 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Human-Computer Interaction, 11 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Science Applications. Recurrent topics in Daniela Trevisan’s work include Virtual Reality Applications and Impacts (7 papers), Augmented Reality Applications (5 papers) and Mobile Crowdsensing and Crowdsourcing (4 papers). Daniela Trevisan is often cited by papers focused on Virtual Reality Applications and Impacts (7 papers), Augmented Reality Applications (5 papers) and Mobile Crowdsensing and Crowdsourcing (4 papers). Daniela Trevisan collaborates with scholars based in Brazil, Belgium and Italy. Daniela Trevisan's co-authors include Esteban Clua, Alberto Di Renzo, Francesco Paolo Di Maio, Ettore Beghi, Cristina Nader Vasconcelos, Luis Valente, Valter Torri, A. Bizzi, Carlo Antozzi and G. Piccolo and has published in prestigious journals such as Epilepsia, Journal of the Neurological Sciences and Powder Technology.

In The Last Decade

Co-authorship network of co-authors of Daniela Trevisan i

Fields of papers citing papers by Daniela Trevisan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniela Trevisan

Since Specialization
Citations

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