Renato De Mori

339 total papers · 6.0k total citations
186 papers, 3.0k citations indexed

About

Renato De Mori is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Renato De Mori has authored 186 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 162 papers in Artificial Intelligence, 72 papers in Signal Processing and 16 papers in Experimental and Cognitive Psychology. Recurrent topics in Renato De Mori's work include Speech Recognition and Synthesis (95 papers), Speech and dialogue systems (62 papers) and Natural Language Processing Techniques (60 papers). Renato De Mori is often cited by papers focused on Speech Recognition and Synthesis (95 papers), Speech and dialogue systems (62 papers) and Natural Language Processing Techniques (60 papers). Renato De Mori collaborates with scholars based in Canada, France and Italy. Renato De Mori's co-authors include Roland Kühn, Gökhan Tür, Pietro Laface, Yoshua Bengio, Brigitte Bigi, Giovanni Romano, Claudio Carpineto, Giovanni Flammia, Roberto Gemello and Franco Mana and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Communications of the ACM and The Journal of the Acoustical Society of America.

In The Last Decade

Renato De Mori

166 papers receiving 2.7k citations

Author Peers

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

Author Last Decade Papers Cites
Renato De Mori 2.4k 1.0k 472 304 211 186 3.0k
Zhiyong Feng 1.0k 0.4× 269 0.3× 802 1.7× 412 1.4× 179 0.8× 262 2.3k
Rahul Gupta 1.1k 0.5× 316 0.3× 505 1.1× 316 1.0× 190 0.9× 94 1.9k
Bing Xiang 3.4k 1.4× 537 0.5× 442 0.9× 654 2.2× 62 0.3× 87 3.8k
Joseph Keshet 1.8k 0.7× 492 0.5× 181 0.4× 570 1.9× 172 0.8× 77 2.3k
Zhiyong Wu 1.4k 0.6× 980 1.0× 101 0.2× 395 1.3× 459 2.2× 205 2.3k
Shafiq Joty 3.1k 1.3× 212 0.2× 1.1k 2.2× 648 2.1× 131 0.6× 179 4.3k
Frank Seide 3.5k 1.4× 2.1k 2.1× 149 0.3× 764 2.5× 113 0.5× 95 4.3k
Sakriani Sakti 1.6k 0.7× 720 0.7× 139 0.3× 350 1.2× 163 0.8× 256 2.1k
Katrin Kirchhoff 2.9k 1.2× 1.1k 1.1× 197 0.4× 305 1.0× 364 1.7× 125 3.4k
Larry Heck 2.7k 1.1× 705 0.7× 628 1.3× 710 2.3× 73 0.3× 95 3.3k

Countries citing papers authored by Renato De Mori

Since Specialization
Citations

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

Fields of papers citing papers by Renato De Mori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Renato De Mori. 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 Renato De Mori. The network helps show where Renato De Mori may publish in the future.

Co-authorship network of co-authors of Renato De Mori

This figure shows the co-authorship network connecting the top 25 collaborators of Renato De Mori. A scholar is included among the top collaborators of Renato De Mori 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 Renato De Mori. Renato De Mori 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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2026