Roberto Muscedere

29 papers and 263 indexed citations i.

About

Roberto Muscedere is a scholar working on Artificial Intelligence, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Roberto Muscedere has authored 29 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 11 papers in Information Systems and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Roberto Muscedere’s work include Cryptography and Residue Arithmetic (10 papers), Coding theory and cryptography (8 papers) and Numerical Methods and Algorithms (7 papers). Roberto Muscedere is often cited by papers focused on Cryptography and Residue Arithmetic (10 papers), Coding theory and cryptography (8 papers) and Numerical Methods and Algorithms (7 papers). Roberto Muscedere collaborates with scholars based in Canada and United States. Roberto Muscedere's co-authors include Rashid Rashidzadeh, Majid Ahmadi, Ashkan Hosseinzadeh Namin, Huapeng Wu, G.A. Jullien, Zheng Wu, William C. Miller, Vassil S. Dimitrov, Majid Ahmadi and William C. Miller and has published in prestigious journals such as IEEE Transactions on Computers, Electronics Letters and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Co-authorship network of co-authors of Roberto Muscedere i

Fields of papers citing papers by Roberto Muscedere

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Roberto Muscedere

Since Specialization
Citations

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