Edoardo Ragusa

44 papers and 334 indexed citations i.

About

Edoardo Ragusa is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Edoardo Ragusa has authored 44 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 17 papers in Electrical and Electronic Engineering and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Edoardo Ragusa’s work include Machine Learning and ELM (11 papers), Advanced Memory and Neural Computing (8 papers) and Neural Networks and Applications (7 papers). Edoardo Ragusa is often cited by papers focused on Machine Learning and ELM (11 papers), Advanced Memory and Neural Computing (8 papers) and Neural Networks and Applications (7 papers). Edoardo Ragusa collaborates with scholars based in Italy, Singapore and Denmark. Edoardo Ragusa's co-authors include Paolo Gastaldo, Rodolfo Zunino, Erik Cambria, Iti Chaturvedi, F. Guastavino, Maurizio Valle, Luca De Marchi, Federica Bisio, Federica Zonzini and Valentina Mastronardi and has published in prestigious journals such as Sensors, IEEE Access and Journal of the Franklin Institute.

In The Last Decade

Co-authorship network of co-authors of Edoardo Ragusa i

Fields of papers citing papers by Edoardo Ragusa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Edoardo Ragusa

Since Specialization
Citations

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