Marco Ciccone

About

Marco Ciccone is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Marco Ciccone has authored 19 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Marco Ciccone’s work include Advanced Neural Network Applications (9 papers), Privacy-Preserving Technologies in Data (7 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Marco Ciccone is often cited by papers focused on Advanced Neural Network Applications (9 papers), Privacy-Preserving Technologies in Data (7 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Marco Ciccone collaborates with scholars based in Italy, Germany and Canada. Marco Ciccone's co-authors include Matteo Matteucci, Andrea Romanoni, Marco Cannici, Francesco Visin, Barbara Caputo, Yoshua Bengio, Kyunghyun Cho, Kyle Kastner, Adriana Romero and Aaron Courville and has published in prestigious journals such as IEEE Access, IEEE Robotics and Automation Letters and IEEE Transactions on Emerging Topics in Computing.

In The Last Decade

Co-authorship network of co-authors of Marco Ciccone i

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Fields of papers citing papers by Marco Ciccone

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marco Ciccone

Since Specialization

Citations

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