Federico Landini

14 papers and 197 indexed citations i.

About

Federico Landini is a scholar working on Artificial Intelligence, Signal Processing and Industrial relations. According to data from OpenAlex, Federico Landini has authored 14 papers receiving a total of 197 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 9 papers in Signal Processing and 0 papers in Industrial relations. Recurrent topics in Federico Landini’s work include Speech Recognition and Synthesis (12 papers), Music and Audio Processing (8 papers) and Speech and Audio Processing (7 papers). Federico Landini is often cited by papers focused on Speech Recognition and Synthesis (12 papers), Music and Audio Processing (8 papers) and Speech and Audio Processing (7 papers). Federico Landini collaborates with scholars based in Czechia, Japan and Greece. Federico Landini's co-authors include Mireia Díez, Lukáš Burget, Jaň Černocký, Alicia Lozano-Díez, Anna Silnova, Johan Rohdin, Ondřej Novotný, Oldřich Plchot, Ladislav Mošner and Kateřina Žmolíková and has published in prestigious journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Computer Speech & Language and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Federico Landini i

Fields of papers citing papers by Federico Landini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Federico Landini

Since Specialization
Citations

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