Guido Aversano

19 total papers · 404 total citations
6 papers, 155 citations indexed

About

Guido Aversano is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Guido Aversano has authored 6 papers receiving a total of 155 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Signal Processing, 5 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Guido Aversano's work include Speech Recognition and Synthesis (5 papers), Speech and Audio Processing (4 papers) and Advanced Data Compression Techniques (3 papers). Guido Aversano is often cited by papers focused on Speech Recognition and Synthesis (5 papers), Speech and Audio Processing (4 papers) and Advanced Data Compression Techniques (3 papers). Guido Aversano collaborates with scholars based in France, United States and Cameroon. Guido Aversano's co-authors include Anna Esposito, M. Marinaro, Pierre Roussel, Maureen Stone, B. Denby, Gérard Dreyfus, Yacine Oussar, Thomas Hueber, Gérard Chollet and Dijana Petrovska‐Delacrétaz and has published in prestigious journals such as ePrints Soton (University of Southampton).

In The Last Decade

Guido Aversano

5 papers receiving 144 citations

Author Peers

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

Author Last Decade Papers Cites
Guido Aversano 118 105 28 24 12 6 155
Arun Babu 109 0.9× 239 2.3× 18 0.6× 28 1.2× 4 0.3× 4 287
Patrick von Platen 116 1.0× 236 2.2× 17 0.6× 28 1.2× 4 0.3× 4 275
Steven Fincke 171 1.4× 190 1.8× 51 1.8× 22 0.9× 6 0.5× 9 250
Giulia Garau 126 1.1× 182 1.7× 31 1.1× 24 1.0× 3 0.3× 12 224
Julian Chan 119 1.0× 202 1.9× 17 0.6× 15 0.6× 8 0.7× 11 233
Sudhamay Maity 174 1.5× 188 1.8× 55 2.0× 30 1.3× 3 0.3× 10 230
Jean-François Sérignat 74 0.6× 78 0.7× 17 0.6× 49 2.0× 5 0.4× 10 157
R. Biddulph 110 0.9× 156 1.5× 25 0.9× 22 0.9× 3 215
Wayne Xiong 86 0.7× 170 1.6× 9 0.3× 36 1.5× 2 0.2× 5 231
Jakob D. Havtorn 94 0.8× 165 1.6× 21 0.8× 18 0.8× 7 222

Countries citing papers authored by Guido Aversano

Since Specialization
Citations

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

Fields of papers citing papers by Guido Aversano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guido Aversano

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