Marco Ferretti

125 total papers · 1.7k total citations
70 papers, 1.1k citations indexed

About

Marco Ferretti is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Marco Ferretti has authored 70 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 17 papers in Signal Processing. Recurrent topics in Marco Ferretti's work include Advanced Data Compression Techniques (18 papers), Speech Recognition and Synthesis (12 papers) and Image and Signal Denoising Methods (12 papers). Marco Ferretti is often cited by papers focused on Advanced Data Compression Techniques (18 papers), Speech Recognition and Synthesis (12 papers) and Image and Signal Denoising Methods (12 papers). Marco Ferretti collaborates with scholars based in Italy, United States and Russia. Marco Ferretti's co-authors include Rienk van Grondelle, Vladimir I. Novoderezhkin, Elisabet Romero, Ramūnas Augulis, Donatas Zigmantas, Jos Thieme, Virginio Cantoni, Ruud Hendrikx, Maria Schuld and Ilya Sinayskiy and has published in prestigious journals such as Proceedings of the IEEE, Scientific Reports and Nature Physics.

In The Last Decade

Marco Ferretti

63 papers receiving 1.0k citations

Hit Papers

Quantum coherence in phot... 2014 2026 2018 2022 2014 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Marco Ferretti 557 380 234 198 167 70 1.1k
Thomas Hornung 794 1.4× 98 0.3× 58 0.2× 61 0.3× 310 1.9× 36 1.2k
Edward B. Gamble 530 1.0× 87 0.2× 163 0.7× 128 0.6× 155 0.9× 20 1.2k
David Pfau 206 0.4× 136 0.4× 372 1.6× 155 0.8× 232 1.4× 26 1.3k
Michael Ludwig 179 0.3× 253 0.7× 85 0.4× 48 0.2× 61 0.4× 80 967
Sergio Decherchi 111 0.2× 855 2.3× 52 0.2× 106 0.5× 197 1.2× 70 1.5k
David Andrews 273 0.5× 262 0.7× 34 0.1× 51 0.3× 126 0.8× 100 1.5k
Javier Herranz 125 0.2× 372 1.0× 43 0.2× 68 0.3× 544 3.3× 79 1.3k
Satoshi Yamamoto 188 0.3× 88 0.2× 111 0.5× 56 0.3× 52 0.3× 97 1.3k
Costas Bekas 110 0.2× 239 0.6× 82 0.4× 70 0.4× 281 1.7× 44 1.5k
Heinz Horner 351 0.6× 61 0.2× 64 0.3× 68 0.3× 373 2.2× 19 1.4k

Countries citing papers authored by Marco Ferretti

Since Specialization
Citations

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

Fields of papers citing papers by Marco Ferretti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Ferretti

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