M. Vai

18 papers and 192 indexed citations i.

About

M. Vai is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, M. Vai has authored 18 papers receiving a total of 192 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 4 papers in Artificial Intelligence and 3 papers in Computer Networks and Communications. Recurrent topics in M. Vai’s work include Neural Networks and Applications (4 papers), Photonic and Optical Devices (4 papers) and Radio Frequency Integrated Circuit Design (3 papers). M. Vai is often cited by papers focused on Neural Networks and Applications (4 papers), Photonic and Optical Devices (4 papers) and Radio Frequency Integrated Circuit Design (3 papers). M. Vai collaborates with scholars based in United States, China and Taiwan. M. Vai's co-authors include S. Prasad, Bin Li, Miriam Leeser, Robert Bond, P.M. Zavracky, Matthieu Moy, Waleed Meleis, Chin‐Long Wey, Weidong Xu and Fabrizio Lombardi and has published in prestigious journals such as IEEE Transactions on Electron Devices, IEEE Transactions on Microwave Theory and Techniques and IEEE Journal of Solid-State Circuits.

In The Last Decade

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

Fields of papers citing papers by M. Vai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by M. Vai

Since Specialization
Citations

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