Daniele D. Caviglia

About

Daniele D. Caviglia is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Daniele D. Caviglia has authored 64 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Electrical and Electronic Engineering, 18 papers in Biomedical Engineering and 15 papers in Artificial Intelligence. Recurrent topics in Daniele D. Caviglia’s work include Neural Networks and Applications (13 papers), Analog and Mixed-Signal Circuit Design (10 papers) and CCD and CMOS Imaging Sensors (8 papers). Daniele D. Caviglia is often cited by papers focused on Neural Networks and Applications (13 papers), Analog and Mixed-Signal Circuit Design (10 papers) and CCD and CMOS Imaging Sensors (8 papers). Daniele D. Caviglia collaborates with scholars based in Italy, Lebanon and Sweden. Daniele D. Caviglia's co-authors include Maurizio Valle, P. Antognetti, Andrea Randazzo, Angelo Brambilla, G. Bisio, C. Boragno, Giambattista Gruosso, Giancarlo Storti Gajani, Matteo Colli and E. Di Zitti and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Communications Magazine and Sensors.

In The Last Decade

Co-authorship network of co-authors of Daniele D. Caviglia i

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Fields of papers citing papers by Daniele D. Caviglia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniele D. Caviglia. 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 Daniele D. Caviglia. The network helps show where Daniele D. Caviglia may publish in the future.

Countries citing papers authored by Daniele D. Caviglia

Since Specialization

Citations

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