Dino Seppi

20 papers and 851 indexed citations i.

About

Dino Seppi is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Dino Seppi has authored 20 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 10 papers in Signal Processing and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in Dino Seppi’s work include Speech Recognition and Synthesis (14 papers), Music and Audio Processing (8 papers) and Speech and Audio Processing (7 papers). Dino Seppi is often cited by papers focused on Speech Recognition and Synthesis (14 papers), Music and Audio Processing (8 papers) and Speech and Audio Processing (7 papers). Dino Seppi collaborates with scholars based in Germany, Belgium and Italy. Dino Seppi's co-authors include Björn W. Schuller, Stefan Steidl, Anton Batliner, Thurid Vogt, Johannes Wagner, Laurence Devillers, Laurence Vidrascu, Noam Amir, Vered Aharonson and Loïc Kessous and has published in prestigious journals such as Speech Communication, Language Resources and Evaluation and Computer Speech & Language.

In The Last Decade

Co-authorship network of co-authors of Dino Seppi i

Fields of papers citing papers by Dino Seppi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dino Seppi

Since Specialization
Citations

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