M. Riva

27 papers and 194 indexed citations i.

About

M. Riva is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Automotive Engineering. According to data from OpenAlex, M. Riva has authored 27 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Electrical and Electronic Engineering, 9 papers in Control and Systems Engineering and 5 papers in Automotive Engineering. Recurrent topics in M. Riva’s work include Advanced DC-DC Converters (11 papers), Multilevel Inverters and Converters (5 papers) and Advanced Battery Technologies Research (4 papers). M. Riva is often cited by papers focused on Advanced DC-DC Converters (11 papers), Multilevel Inverters and Converters (5 papers) and Advanced Battery Technologies Research (4 papers). M. Riva collaborates with scholars based in Italy, United States and Germany. M. Riva's co-authors include Antonello Monti, Enrico Santi, Roger A. Dougal, Bo Wang, Federico Belloni, G. Simin, P. Maranesi, N. Tipirneni, Jason D. Bakos and Ferdinanda Ponci and has published in prestigious journals such as IEEE Transactions on Power Electronics, IEEE Transactions on Industry Applications and IEEE Transactions on Aerospace and Electronic Systems.

In The Last Decade

Co-authorship network of co-authors of M. Riva i

Fields of papers citing papers by M. Riva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by M. Riva

Since Specialization
Citations

This map shows the geographic impact of M. Riva'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 M. Riva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Riva 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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2025