G. Vernazza

179 total papers · 1.8k total citations
99 papers, 1.1k citations indexed

About

G. Vernazza is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, G. Vernazza has authored 99 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Computer Vision and Pattern Recognition, 25 papers in Artificial Intelligence and 20 papers in Media Technology. Recurrent topics in G. Vernazza's work include Image Retrieval and Classification Techniques (20 papers), Image and Signal Denoising Methods (16 papers) and Medical Image Segmentation Techniques (15 papers). G. Vernazza is often cited by papers focused on Image Retrieval and Classification Techniques (20 papers), Image and Signal Denoising Methods (16 papers) and Medical Image Segmentation Techniques (15 papers). G. Vernazza collaborates with scholars based in Italy, United States and Saudi Arabia. G. Vernazza's co-authors include Carlo S. Regazzoni, Sebastiano B. Serpico, Lorenzo Bruzzone, Silvana Dellepiane, R. Cossu, Vittorio Murino, Lucio Marcenaro, Rodolfo Zunino, Daniele Giusto and Andrea Trucco and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and Journal of Cell Science.

In The Last Decade

G. Vernazza

91 papers receiving 986 citations

Author Peers

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

Author Last Decade Papers Cites
G. Vernazza 494 319 201 126 112 99 1.1k
Liguo Weng 307 0.6× 259 0.8× 283 1.4× 126 1.0× 97 0.9× 72 969
Weipeng Jing 251 0.5× 267 0.8× 255 1.3× 108 0.9× 95 0.8× 122 1.1k
Kai Xu 517 1.0× 329 1.0× 206 1.0× 123 1.0× 30 0.3× 59 1.5k
Jiangyun Li 608 1.2× 480 1.5× 153 0.8× 156 1.2× 190 1.7× 70 1.4k
Μαρία Πέτρου 758 1.5× 286 0.9× 213 1.1× 51 0.4× 79 0.7× 77 1.5k
Lichuan Gu 298 0.6× 271 0.8× 389 1.9× 85 0.7× 112 1.0× 55 1.4k
Bin Luo 568 1.1× 299 0.9× 219 1.1× 99 0.8× 93 0.8× 108 1.3k
Shengyang Li 792 1.6× 450 1.4× 169 0.8× 176 1.4× 104 0.9× 98 1.3k
Csaba Benedek 658 1.3× 421 1.3× 148 0.7× 207 1.6× 179 1.6× 72 1.3k
Mingming Xu 245 0.5× 388 1.2× 248 1.2× 219 1.7× 87 0.8× 116 1.2k

Countries citing papers authored by G. Vernazza

Since Specialization
Citations

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

Fields of papers citing papers by G. Vernazza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Vernazza

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