Dino Seppi

29 total papers · 1.8k total citations
26 papers, 1.2k citations indexed

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 26 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 13 papers in Signal Processing and 11 papers in Experimental and Cognitive Psychology. Recurrent topics in Dino Seppi's work include Speech Recognition and Synthesis (19 papers), Music and Audio Processing (10 papers) and Speech and Audio Processing (9 papers). Dino Seppi is often cited by papers focused on Speech Recognition and Synthesis (19 papers), Music and Audio Processing (10 papers) and Speech and Audio Processing (9 papers). Dino Seppi collaborates with scholars based in Germany, Belgium and France. Dino Seppi's co-authors include Stefan Steidl, Anton Batliner, Björn W. Schuller, Laurence Devillers, Laurence Vidrascu, Vered Aharonson, Noam Amir, Loïc Kessous, Thurid Vogt and Johannes Wagner and has published in prestigious journals such as Speech Communication, Language Resources and Evaluation and Computer Speech & Language.

In The Last Decade

Dino Seppi

26 papers receiving 1.1k citations

Hit Papers

Recognising realistic emo... 2011 2026 2016 2021 2011 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dino Seppi 831 664 647 181 137 26 1.2k
Dimitrios Ververidis 812 1.0× 572 0.9× 711 1.1× 357 2.0× 116 0.8× 24 1.4k
Michael Grimm 656 0.8× 413 0.6× 469 0.7× 294 1.6× 198 1.4× 23 1.2k
Shrikanth Narayanan 643 0.8× 796 1.2× 536 0.8× 237 1.3× 150 1.1× 77 1.4k
Andreas Wendemuth 795 1.0× 710 1.1× 667 1.0× 229 1.3× 170 1.2× 107 1.3k
Fabio Valente 366 0.4× 848 1.3× 763 1.2× 150 0.8× 93 0.7× 63 1.2k
Angeliki Metallinou 813 1.0× 684 1.0× 476 0.7× 304 1.7× 232 1.7× 34 1.3k
Iain R. Murray 621 0.7× 427 0.6× 335 0.5× 78 0.4× 229 1.7× 13 1.0k
Florian Groß 409 0.5× 489 0.7× 614 0.9× 163 0.9× 130 0.9× 7 1.3k
John L. Arnott 577 0.7× 483 0.7× 307 0.5× 128 0.7× 209 1.5× 29 1.2k
M. Lang 897 1.1× 593 0.9× 740 1.1× 465 2.6× 149 1.1× 42 1.5k

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).

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.

Co-authorship network of co-authors of Dino Seppi

This figure shows the co-authorship network connecting the top 25 collaborators of Dino Seppi. A scholar is included among the top collaborators of Dino Seppi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dino Seppi. Dino Seppi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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