Victor Lazzarini

240 total papers · 867 total citations
94 papers, 469 citations indexed

About

Victor Lazzarini is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computational Mechanics. According to data from OpenAlex, Victor Lazzarini has authored 94 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Computer Vision and Pattern Recognition, 60 papers in Signal Processing and 16 papers in Computational Mechanics. Recurrent topics in Victor Lazzarini's work include Music Technology and Sound Studies (58 papers), Music and Audio Processing (34 papers) and Speech and Audio Processing (32 papers). Victor Lazzarini is often cited by papers focused on Music Technology and Sound Studies (58 papers), Music and Audio Processing (34 papers) and Speech and Audio Processing (32 papers). Victor Lazzarini collaborates with scholars based in Ireland, Brazil and United States. Victor Lazzarini's co-authors include Joseph Timoney, Damián Keller, Marcelo Soares Pimenta, Vesa Välimäki, Maria Helena Melo Lima, J. Glover, Federico Fontana, Jonathan S. Abel, Jyri Pakarinen and Joe Timoney and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of the Acoustical Society of America and Applied Sciences.

In The Last Decade

Victor Lazzarini

65 papers receiving 377 citations

Author Peers

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

Author Last Decade Papers Cites
Victor Lazzarini 308 280 101 90 69 94 469
Haruhiro Katayose 243 0.8× 249 0.9× 146 1.4× 52 0.6× 8 0.1× 67 448
Jean‐Claude Risset 378 1.2× 293 1.0× 197 2.0× 24 0.3× 21 0.3× 37 521
Nicholas J. Bryan 229 0.7× 356 1.3× 97 1.0× 54 0.6× 48 0.7× 32 476
Sławomir Zieliński 105 0.3× 260 0.9× 269 2.7× 20 0.2× 38 0.6× 58 472
Udo Zölzer 234 0.8× 310 1.1× 69 0.7× 8 0.1× 135 2.0× 93 549
Alexandre R. J. François 381 1.2× 82 0.3× 56 0.6× 40 0.4× 17 0.2× 29 451
Sheng-Wen Shih 347 1.1× 99 0.4× 27 0.3× 113 1.3× 21 0.3× 48 501
Dan Mikami 210 0.7× 79 0.3× 44 0.4× 81 0.9× 20 0.3× 58 452
Kehuang Li 163 0.5× 305 1.1× 76 0.8× 48 0.5× 58 0.8× 26 502
Minfen Shen 174 0.6× 85 0.3× 167 1.7× 24 0.3× 28 0.4× 50 499

Countries citing papers authored by Victor Lazzarini

Since Specialization
Citations

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

Fields of papers citing papers by Victor Lazzarini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victor Lazzarini

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