Alessia Amelio

1.2k total citations
65 papers, 586 citations indexed

About

Alessia Amelio is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Alessia Amelio has authored 65 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 11 papers in Information Systems. Recurrent topics in Alessia Amelio's work include Complex Network Analysis Techniques (11 papers), Image Retrieval and Classification Techniques (9 papers) and User Authentication and Security Systems (8 papers). Alessia Amelio is often cited by papers focused on Complex Network Analysis Techniques (11 papers), Image Retrieval and Classification Techniques (9 papers) and User Authentication and Security Systems (8 papers). Alessia Amelio collaborates with scholars based in Italy, Serbia and Pakistan. Alessia Amelio's co-authors include Clara Pizzuti, Darko Brodić, Francesco Gullo, Andrea Tagarelli, Enrico Corradini, Luca Virgili, Katerina Kabassi, Κωνσταντίνος Οικονόμου, Gianluca Bonifazi and Domenico Ursino and has published in prestigious journals such as Expert Systems with Applications, Neurocomputing and Applied Soft Computing.

In The Last Decade

Alessia Amelio

60 papers receiving 570 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alessia Amelio Italy 12 209 173 140 59 49 65 586
Caixia Liu China 17 78 0.4× 129 0.7× 82 0.6× 44 0.7× 44 0.9× 57 679
Mohammad Akbari Iran 14 97 0.5× 326 1.9× 140 1.0× 172 2.9× 88 1.8× 33 663
Kai Xu Australia 14 92 0.4× 127 0.7× 341 2.4× 72 1.2× 81 1.7× 65 576
Manos Papagelis Canada 12 132 0.6× 250 1.4× 101 0.7× 194 3.3× 93 1.9× 46 726
Xianyong Li China 12 138 0.7× 332 1.9× 64 0.5× 100 1.7× 80 1.6× 86 615
Yulong Pei Netherlands 14 194 0.9× 388 2.2× 86 0.6× 101 1.7× 107 2.2× 71 703
Malik Muhammad Saad Missen Pakistan 14 37 0.2× 213 1.2× 200 1.4× 73 1.2× 23 0.5× 54 624
Nicolò Navarin Italy 15 68 0.3× 325 1.9× 105 0.8× 60 1.0× 21 0.4× 73 581
Hoda Eldardiry United States 11 63 0.3× 197 1.1× 44 0.3× 110 1.9× 120 2.4× 51 470

Countries citing papers authored by Alessia Amelio

Since Specialization
Citations

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

Fields of papers citing papers by Alessia Amelio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessia Amelio

This figure shows the co-authorship network connecting the top 25 collaborators of Alessia Amelio. A scholar is included among the top collaborators of Alessia Amelio 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 Alessia Amelio. Alessia Amelio 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.
Amelio, Alessia, et al.. (2025). Prediction of Unconfined Compressive Strength in Cement-Treated Soils: A Machine Learning Approach. Applied Sciences. 15(13). 7022–7022. 1 indexed citations
2.
Gill, Eberhard, Daniela Cardone, & Alessia Amelio. (2024). Revolutionizing the construction industry by cutting edge artificial intelligence approaches: a review. Frontiers in Artificial Intelligence. 7. 1474932–1474932. 2 indexed citations
3.
4.
Amelio, Alessia, et al.. (2024). A Deep Learning Approach for Predicting Air Pollutants on the Construction Site. 2089–2094. 1 indexed citations
5.
Amelio, Alessia & Gian Piero Zarri. (2024). Cultural heritage digital twin: modeling and representing the visual narrative in Leonardo Da Vinci’s Mona Lisa. Neural Computing and Applications. 36(20). 11859–11876. 2 indexed citations
6.
Amelio, Alessia, et al.. (2024). A survey on the role of artificial intelligence in managing Long COVID. Frontiers in Artificial Intelligence. 6. 1292466–1292466. 5 indexed citations
7.
Petracca, Massimo, et al.. (2023). Unsupervised Deep Learning for Structural Health Monitoring. Big Data and Cognitive Computing. 7(2). 99–99. 8 indexed citations
8.
Amelio, Alessia, Gianluca Bonifazi, Enrico Corradini, Domenico Ursino, & Luca Virgili. (2022). A Multilayer Network-Based Approach to Represent, Explore and Handle Convolutional Neural Networks. Cognitive Computation. 15(1). 61–89. 11 indexed citations
9.
Amelio, Alessia, Gianluca Bonifazi, Francesco Cauteruccio, et al.. (2022). Representation and compression of Residual Neural Networks through a multilayer network based approach. Expert Systems with Applications. 215. 119391–119391. 27 indexed citations
10.
Mihajlović, Ivan, et al.. (2020). Machine learning models for ecological footprint prediction based on energy parameters. Neural Computing and Applications. 33(12). 7073–7087. 25 indexed citations
11.
Kabassi, Katerina, et al.. (2019). Evaluating Museum Virtual Tours: The Case Study of Italy. Information. 10(11). 351–351. 37 indexed citations
12.
Amelio, Alessia & Gian Piero Zarri. (2019). Conceptual Encoding and Advanced Management of Leonardo da Vinci’s Mona Lisa: Preliminary Results. Information. 10(10). 321–321. 5 indexed citations
13.
Amelio, Alessia, et al.. (2019). Analysis of Usability for the Dice CAPTCHA. Information. 10(7). 221–221.
14.
Amelio, Alessia, et al.. (2019). Classification Methods in Cultural Heritage.. 13–24. 2 indexed citations
15.
Tagarelli, Andrea, Alessia Amelio, & Francesco Gullo. (2017). Ensemble-based community detection in multilayer networks. Data Mining and Knowledge Discovery. 31(5). 1506–1543. 57 indexed citations
16.
Brodić, Darko, et al.. (2017). User-Centric Analysis of the CAPTCHA Response Time: A New Perspective in Artificial Intelligence. ERCIM news/ERCIM news online edition. 2017(190). 49–50. 1 indexed citations
17.
Brodić, Darko & Alessia Amelio. (2017). Discrimination of Different Serbian Pronunciations from Shtokavian Dialect. Procedia Computer Science. 112. 1935–1944. 1 indexed citations
18.
Brodić, Darko & Alessia Amelio. (2015). Classification and Evaluation of the Extremely Low Frequency Electromagnetic Field Radiation Produced by Laptop Computers. ERCIM news/ERCIM news online edition. 2015. 1 indexed citations
19.
Brodić, Darko & Alessia Amelio. (2015). Classification of the Extremely Low Frequency Magnetic Field Radiation Measurement from the Laptop Computers. Measurement Science Review. 15(4). 202–209. 9 indexed citations
20.
Amelio, Alessia & Clara Pizzuti. (2015). A patch-based measure for image dissimilarity. Neurocomputing. 171. 362–378. 4 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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