Maya Briani

32 papers and 307 indexed citations i.

About

Maya Briani is a scholar working on Control and Systems Engineering, Finance and Automotive Engineering. According to data from OpenAlex, Maya Briani has authored 32 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Control and Systems Engineering, 9 papers in Finance and 8 papers in Automotive Engineering. Recurrent topics in Maya Briani’s work include Traffic control and management (10 papers), Stochastic processes and financial applications (9 papers) and Vehicle emissions and performance (7 papers). Maya Briani is often cited by papers focused on Traffic control and management (10 papers), Stochastic processes and financial applications (9 papers) and Vehicle emissions and performance (7 papers). Maya Briani collaborates with scholars based in Italy, United States and France. Maya Briani's co-authors include Roberto Natalini, Giovanni Russo, Emiliano Cristiani, Lucia Caramellino, Antonino Zanette, Davide Vergni, Denise Aregba-Driollet, Benedetto Piccoli, Massimo Bernaschi and Marco Papi and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Biomedical Engineering and SIAM Journal on Numerical Analysis.

In The Last Decade

Co-authorship network of co-authors of Maya Briani i

Fields of papers citing papers by Maya Briani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maya Briani

Since Specialization
Citations

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