Giuseppe Amato

5.6k total citations · 1 hit paper
150 papers, 2.7k citations indexed

About

Giuseppe Amato is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Giuseppe Amato has authored 150 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Computer Vision and Pattern Recognition, 40 papers in Artificial Intelligence and 30 papers in Signal Processing. Recurrent topics in Giuseppe Amato's work include Advanced Image and Video Retrieval Techniques (42 papers), Image Retrieval and Classification Techniques (28 papers) and Data Management and Algorithms (20 papers). Giuseppe Amato is often cited by papers focused on Advanced Image and Video Retrieval Techniques (42 papers), Image Retrieval and Classification Techniques (28 papers) and Data Management and Algorithms (20 papers). Giuseppe Amato collaborates with scholars based in Italy, United States and Portugal. Giuseppe Amato's co-authors include Fabrizio Falchi, Claudio Gennaro, Pavel Zezula, Vlastislav Dohnal, Michal Batko, Fabio Carrara, Claudio Vairo, Pasquale Savino, Carlo Meghini and Fabio Valerio Massoli and has published in prestigious journals such as SHILAP Revista de lepidopterología, Human Molecular Genetics and Medicine & Science in Sports & Exercise.

In The Last Decade

Giuseppe Amato

137 papers receiving 2.5k citations

Hit Papers

Similarity Search The Metric Space Approach 2006 2026 2012 2019 2006 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Similarity Search The Metric Space Approach
    2006 419 citations Giuseppe Amato et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giuseppe Amato Italy 24 1.4k 790 683 360 348 150 2.7k
Fabrizio Falchi Italy 21 987 0.7× 627 0.8× 253 0.4× 186 0.5× 335 1.0× 116 1.8k
Muhammad Sajjad South Korea 36 2.8k 2.0× 1.5k 2.0× 477 0.7× 432 1.2× 202 0.6× 116 5.0k
Claudio Gennaro Italy 18 721 0.5× 334 0.4× 187 0.3× 240 0.7× 346 1.0× 108 1.5k
Marco Tagliasacchi Italy 33 2.5k 1.8× 666 0.8× 1.2k 1.8× 441 1.2× 71 0.2× 172 3.7k
Xin Ning China 38 2.1k 1.5× 1.2k 1.6× 269 0.4× 176 0.5× 111 0.3× 168 4.3k
Yanfeng Sun China 25 1.1k 0.8× 534 0.7× 279 0.4× 81 0.2× 544 1.6× 187 2.4k
Chao Gou China 25 1.2k 0.9× 785 1.0× 145 0.2× 144 0.4× 162 0.5× 93 2.4k
Jiquan Ngiam United States 12 1.9k 1.4× 1.3k 1.7× 556 0.8× 87 0.2× 107 0.3× 16 3.4k
Gian Luca Foresti Italy 37 3.1k 2.2× 1.5k 1.9× 832 1.2× 598 1.7× 61 0.2× 293 5.1k
Weiming Hu China 18 2.2k 1.6× 1.3k 1.6× 453 0.7× 317 0.9× 64 0.2× 43 3.2k

Countries citing papers authored by Giuseppe Amato

Since Specialization
Citations

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

Fields of papers citing papers by Giuseppe Amato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giuseppe Amato

This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe Amato. A scholar is included among the top collaborators of Giuseppe Amato 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 Giuseppe Amato. Giuseppe Amato 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.
Cremisi, Federico, et al.. (2025). Criticality in neural cultures: Insights into memory and connectivity in entorhinal-hippocampal networks. Chaos Solitons & Fractals. 194. 116184–116184. 1 indexed citations
2.
Falchi, Fabrizio, et al.. (2024). Scalable bio-inspired training of Deep Neural Networks with FastHebb. Neurocomputing. 595. 127867–127867.
3.
Ciampi, Luca, Carlos Santiago, Fabrizio Falchi, Claudio Gennaro, & Giuseppe Amato. (2024). In the Wild Video Violence Detection: An Unsupervised Domain Adaptation Approach. SN Computer Science. 5(7). 1 indexed citations
4.
Amato, Giuseppe, Paolo Bolettieri, Fabio Carrara, et al.. (2024). Will VISIONE Remain Competitive in Lifelog Image Search?. ISTI Open Portal. 58–63. 1 indexed citations
5.
Coccomini, Davide Alessandro, Andrea Esuli, Fabrizio Falchi, Claudio Gennaro, & Giuseppe Amato. (2024). Detecting images generated by diffusers. PeerJ Computer Science. 10. e2127–e2127. 4 indexed citations
6.
Amato, Giuseppe, Paolo Bolettieri, Fabio Carrara, et al.. (2023). VISIONE for newbies: an easier-to-use video retrieval system. ISTI Open Portal. 158–162. 5 indexed citations
7.
Amato, Giuseppe, Paolo Bolettieri, Fabio Carrara, et al.. (2023). VISIONE: A Large-Scale Video Retrieval System with Advanced Search Functionalities. Zenodo (CERN European Organization for Nuclear Research). 649–653. 2 indexed citations
8.
Benedetto, Marco Di, Fabio Carrara, Salvatore Nigro, et al.. (2022). Deep networks for behavioral variant frontotemporal dementia identification from multiple acquisition sources. Computers in Biology and Medicine. 148. 105937–105937. 7 indexed citations
9.
Ciampi, Luca, Nicola Messina, Claudio Gennaro, et al.. (2022). Bus Violence: An Open Benchmark for Video Violence Detection on Public Transport. Sensors. 22(21). 8345–8345. 17 indexed citations
10.
Ciampi, Luca, Fabio Carrara, Raffaele Mazziotti, et al.. (2022). Learning to count biological structures with raters’ uncertainty. Medical Image Analysis. 80. 102500–102500. 13 indexed citations
11.
Guarnera, Luca, Oliver Giudice, Alessandro Ortis, et al.. (2022). The Face Deepfake Detection Challenge. Journal of Imaging. 8(10). 263–263. 34 indexed citations
12.
13.
Messina, Nicola, Giuseppe Amato, Andrea Esuli, et al.. (2021). Fine-grained visual textual alignment for cross-modal retrieval using transformer encoders. CINECA IRIS Institutial research information system (University of Pisa). 88 indexed citations
14.
Messina, Nicola, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro, & Stéphane Marchand‐Maillet. (2021). Towards Efficient Cross-Modal Visual Textual Retrieval using Transformer-Encoder Deep Features. ISTI Open Portal. 5 indexed citations
15.
Carrara, Fabio, et al.. (2020). Combining GANs and AutoEncoders for efficient anomaly detection. ISTI Open Portal. 22 indexed citations
16.
Messina, Nicola, Fabrizio Falchi, Andrea Esuli, & Giuseppe Amato. (2020). Transformer reasoning network for image-text matching and retrieval. Zenodo (CERN European Organization for Nuclear Research). 34 indexed citations
17.
Carrara, Fabio, Fabrizio Falchi, Giuseppe Amato, Rudy Becarelli, & Roberto Caldelli. (2019). Detecting Adversarial Inputs by Looking in the Black Box.. ERCIM news/ERCIM news online edition. 2019. 1 indexed citations
18.
Ciampi, Luca, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro, & Fausto Rabitti. (2018). Counting Vehicles with Cameras.. CINECA IRIS Institutial research information system (University of Pisa). 14 indexed citations
19.
Amato, Giuseppe, Stefano Chessa, & Claudio Vairo. (2010). MaD-WiSe: a distributed stream management system for wireless sensor networks. CINECA IRIS Institutial research information system (University of Pisa). 13 indexed citations
20.
Amato, Giuseppe, Paolo Baronti, & Stefano Chessa. (2007). Query Optimization for Wireless Sensor Network Databases in the MadWise system.. SEBD. 242–249. 2 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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