Fabrizio Argenti

189 total papers · 2.4k total citations
114 papers, 1.7k citations indexed

About

Fabrizio Argenti is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing. According to data from OpenAlex, Fabrizio Argenti has authored 114 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Computer Vision and Pattern Recognition, 38 papers in Media Technology and 22 papers in Signal Processing. Recurrent topics in Fabrizio Argenti's work include Image and Signal Denoising Methods (51 papers), Advanced Image Fusion Techniques (27 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (15 papers). Fabrizio Argenti is often cited by papers focused on Image and Signal Denoising Methods (51 papers), Advanced Image Fusion Techniques (27 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (15 papers). Fabrizio Argenti collaborates with scholars based in Italy, United States and Egypt. Fabrizio Argenti's co-authors include Luciano Alparone, Tiziano Bianchi, Alessandro Lapini, E. Del Re, G. Benelli, Luca Facheris, Alessandro Piva, Bruno Aiazzi, Maria Pia Viggiano and Stefano Baronti and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.

In The Last Decade

Fabrizio Argenti

101 papers receiving 1.6k citations

Hit Papers

A Tutorial on Speckle Red... 2013 2026 2017 2021 2013 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Fabrizio Argenti 1.1k 762 421 239 146 114 1.7k
Tania Stathaki 930 0.8× 542 0.7× 199 0.5× 188 0.8× 245 1.7× 129 1.8k
Marc Acheroy 983 0.9× 503 0.7× 321 0.8× 88 0.4× 201 1.4× 102 1.8k
Kun Li 1.4k 1.3× 666 0.9× 256 0.6× 268 1.1× 72 0.5× 141 2.2k
M.A. Abidi 1.6k 1.4× 452 0.6× 515 1.2× 307 1.3× 126 0.9× 101 2.3k
Cheolkon Jung 1.8k 1.6× 696 0.9× 155 0.4× 123 0.5× 131 0.9× 202 2.3k
Guowei Yang 1.0k 0.9× 474 0.6× 186 0.4× 343 1.4× 118 0.8× 146 2.1k
Marc-Antoine Berthod 1.2k 1.0× 477 0.6× 247 0.6× 66 0.3× 110 0.8× 80 1.8k
Ming Li 761 0.7× 573 0.8× 1.1k 2.6× 190 0.8× 111 0.8× 181 2.3k
Shuaiqi Liu 1.1k 1.0× 753 1.0× 243 0.6× 120 0.5× 130 0.9× 131 2.2k
Takayuki Okatani 1.1k 1.0× 273 0.4× 249 0.6× 183 0.8× 44 0.3× 121 1.7k

Countries citing papers authored by Fabrizio Argenti

Since Specialization
Citations

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

Fields of papers citing papers by Fabrizio Argenti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabrizio Argenti

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