Marco Ferretti

1.7k total citations · 1 hit paper
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 Netherlands. Marco Ferretti's co-authors include Rienk van Grondelle, Vladimir I. Novoderezhkin, Elisabet Romero, Donatas Zigmantas, Ramūnas Augulis, Jos Thieme, Virginio Cantoni, Ruud Hendrikx, J. Michael Gruber and Tjaart P. J. Krüger 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 photosynthesis for efficient solar-e... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marco Ferretti Italy 12 559 382 235 199 168 70 1.1k
András Lörincz Hungary 21 296 0.5× 104 0.3× 135 0.6× 224 1.1× 417 2.5× 174 1.6k
Hiroshi Fujisaki Japan 21 484 0.9× 278 0.7× 61 0.3× 62 0.3× 508 3.0× 129 1.5k
Edward B. Gamble United States 12 526 0.9× 87 0.2× 164 0.7× 126 0.6× 155 0.9× 19 1.2k
Thomas Hornung Germany 16 797 1.4× 98 0.3× 58 0.2× 62 0.3× 309 1.8× 36 1.2k
Hironori Murakami Japan 11 308 0.6× 792 2.1× 241 1.0× 33 0.2× 41 0.2× 33 1.5k
Michael Ludwig Netherlands 12 179 0.3× 253 0.7× 85 0.4× 48 0.2× 60 0.4× 80 963
Costas Bekas Switzerland 13 110 0.2× 240 0.6× 84 0.4× 71 0.4× 283 1.7× 44 1.5k
Robert S. Germain United States 12 185 0.3× 674 1.8× 37 0.2× 125 0.6× 28 0.2× 20 1.1k
Hirokazu Hori Japan 19 393 0.7× 100 0.3× 40 0.2× 55 0.3× 202 1.2× 92 1.3k
Marco Sarich Germany 12 345 0.6× 1.1k 2.9× 53 0.2× 23 0.1× 79 0.5× 15 1.5k

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

20 of 20 papers shown
1.
Ferretti, Marco, et al.. (2023). Semantic Hierarchical Indexing for Online Video Lessons Using Natural Language Processing. Big Data and Cognitive Computing. 7(2). 107–107. 3 indexed citations
2.
Ferretti, Marco, et al.. (2023). The role of social media on the evolution of companies: A Twitter analysis of Streaming Service Providers. 36. 100251–100251. 3 indexed citations
3.
Chasparis, Georgios C., Maurizio Drocco, Paolo Viviani, et al.. (2019). 27th Euromicro International Conference on Parallel, Distributed and Network-Based Processing PDP 2019. v–xiii. 26 indexed citations
4.
Ferretti, Marco, et al.. (2019). A Review of Quasi-perfect Secondary Structure Prediction Servers. Communications in computer and information science. 21–26. 1 indexed citations
5.
Ringsmuth, Andrew K., Marco Ferretti, J. Michael Gruber, et al.. (2018). The future of quantum biology. Journal of The Royal Society Interface. 15(148). 20180640–20180640. 146 indexed citations
6.
Auricchio, Ferdinando, Marco Ferretti, Adrien Lefieux, et al.. (2015). Assessment of a Black-Box Approach for a Parallel Finite Elements Solver in Computational Hemodynamics. 2015 IEEE Trustcom/BigDataSE/ISPA. 202–207. 2 indexed citations
7.
Cantoni, Virginio, et al.. (2014). Protein Motif Retrieval by Secondary Structure Element Geometry and Biological Features Saliency. 19. 23–27. 3 indexed citations
8.
Ferretti, Marco, Katia Duquesne, James N. Sturgis, & Rienk van Grondelle. (2014). Ultrafast excited state processes in Roseobacter denitrificans antennae: comparison of isolated complexes and native membranes. Physical Chemistry Chemical Physics. 16(47). 26059–26066. 3 indexed citations
9.
Romero, Elisabet, Ramūnas Augulis, Vladimir I. Novoderezhkin, et al.. (2014). Quantum coherence in photosynthesis for efficient solar-energy conversion. Nature Physics. 10(9). 676–682. 444 indexed citations breakdown →
10.
Ferretti, Marco, et al.. (2013). Entire motifs search of secondary structures in proteins. 199–204. 6 indexed citations
11.
Ferretti, Marco, et al.. (2007). Optimization of the Lifting Scheme DWT on a VLIW processor. 53–58. 7 indexed citations
12.
Ferretti, Marco, et al.. (2006). Optimization of the Lifting Scheme DWT on a VLIW processor. 39. 53–58. 1 indexed citations
13.
Ferretti, Marco, et al.. (2002). A space saving approach to the Hough transform. ii. 472–475. 1 indexed citations
14.
Ferretti, Marco, et al.. (2000). Handling borders in systolic architectures for the 1-D discrete wavelet transform for perfect reconstruction. IEEE Transactions on Signal Processing. 48(5). 1365–1378. 26 indexed citations
15.
Ferretti, Marco, et al.. (1998). On the Synthesis of a Controller for Handling Borders in Systolic Architectures for 1-D Discrete Wavelet Transform.. Machine Vision and Applications. 396–401. 1 indexed citations
16.
Ferretti, Marco, et al.. (1996). Architectures for the Hough Transform: a Survey. Machine Vision and Applications. 542–551. 9 indexed citations
17.
Ferretti, Marco, et al.. (1995). SYSTOLIC MERGING AND RANKING OF VOTES FOR THE GENERALIZED HOUGH TRANSFORM. International Journal of Pattern Recognition and Artificial Intelligence. 9(2). 315–341. 4 indexed citations
18.
DeGennaro, Steven, et al.. (1991). 1. 0 TANGORA - a large vocabulary speech recognition system for five languages. 183–192. 10 indexed citations
19.
Ferretti, Marco, et al.. (1989). Large-vocabulary speech recognition with speaker-adapted codebook and HMM parameters. 2154–2156. 7 indexed citations
20.
Cantoni, Virginio, Marco Ferretti, S. Levialdi, & R. Stefanelli. (1985). PAPIA: Pyramidal architecture for parallel image analysis. 237–242. 24 indexed citations

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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