Giovanni Delnevo

About

Giovanni Delnevo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Giovanni Delnevo has authored 25 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Giovanni Delnevo’s work include Anomaly Detection Techniques and Applications (4 papers), Cultural Heritage Materials Analysis (3 papers) and Video Surveillance and Tracking Methods (3 papers). Giovanni Delnevo is often cited by papers focused on Anomaly Detection Techniques and Applications (4 papers), Cultural Heritage Materials Analysis (3 papers) and Video Surveillance and Tracking Methods (3 papers). Giovanni Delnevo collaborates with scholars based in Italy, Spain and United States. Giovanni Delnevo's co-authors include Marco Roccetti, Silvia Mirri, Catia Prandi, Paola Salomoni, Roberto Girau, Giuseppe Cappiello, Lorenzo Monti, Andrea Melis, Marco Prandini and Pietro Di Lena and has published in prestigious journals such as Sensors, IEEE Access and IEEE Internet of Things Journal.

In The Last Decade

Co-authorship network of co-authors of Giovanni Delnevo i

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Fields of papers citing papers by Giovanni Delnevo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Giovanni Delnevo

Since Specialization

Citations

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