Francesco Cutugno

138 total papers · 1.1k total citations
75 papers, 574 citations indexed

About

Francesco Cutugno is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Signal Processing. According to data from OpenAlex, Francesco Cutugno has authored 75 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Artificial Intelligence, 21 papers in Experimental and Cognitive Psychology and 16 papers in Signal Processing. Recurrent topics in Francesco Cutugno's work include Speech and dialogue systems (19 papers), Speech Recognition and Synthesis (16 papers) and Phonetics and Phonology Research (16 papers). Francesco Cutugno is often cited by papers focused on Speech and dialogue systems (19 papers), Speech Recognition and Synthesis (16 papers) and Phonetics and Phonology Research (16 papers). Francesco Cutugno collaborates with scholars based in Italy, Germany and Spain. Francesco Cutugno's co-authors include Antonio Origlia, Silvia Rossi, Alberto Finzi, Marco Cascella, Davide Calandra, Bogdan Ludusan, Elena Bignami, Mauro Turrini, S Prosser and Arturo Cuomo and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Environmental Research and Public Health and Journal of Pain and Symptom Management.

In The Last Decade

Francesco Cutugno

67 papers receiving 523 citations

Author Peers

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

Author Last Decade Papers Cites
Francesco Cutugno 205 145 99 94 70 75 574
Piero Cosi 351 1.7× 158 1.1× 75 0.8× 267 2.8× 157 2.2× 76 622
Christian Benoı̂t 251 1.2× 289 2.0× 142 1.4× 318 3.4× 158 2.3× 35 648
Julien Diard 178 0.9× 148 1.0× 192 1.9× 50 0.5× 76 1.1× 45 544
Fabio Tamburini 398 1.9× 210 1.4× 108 1.1× 65 0.7× 30 0.4× 65 642
Christophe Savariaux 178 0.9× 437 3.0× 264 2.7× 217 2.3× 75 1.1× 43 697
Kjell Elenius 417 2.0× 316 2.2× 56 0.6× 307 3.3× 91 1.3× 52 636
Ron Cole 280 1.4× 66 0.5× 185 1.9× 165 1.8× 54 0.8× 30 636
W.A. Ainsworth 284 1.4× 274 1.9× 161 1.6× 263 2.8× 52 0.7× 49 573
Klára Vicsi 268 1.3× 186 1.3× 65 0.7× 140 1.5× 20 0.3× 52 496
Masaaki Honda 238 1.2× 250 1.7× 121 1.2× 254 2.7× 105 1.5× 73 630

Countries citing papers authored by Francesco Cutugno

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Cutugno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Cutugno

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Cutugno. A scholar is included among the top collaborators of Francesco Cutugno 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 Francesco Cutugno. Francesco Cutugno 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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