Antonio Galli

692 total citations
22 papers, 380 citations indexed

About

Antonio Galli is a scholar working on Artificial Intelligence, Signal Processing and Information Systems. According to data from OpenAlex, Antonio Galli has authored 22 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 6 papers in Signal Processing and 3 papers in Information Systems. Recurrent topics in Antonio Galli's work include Anomaly Detection Techniques and Applications (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Spam and Phishing Detection (2 papers). Antonio Galli is often cited by papers focused on Anomaly Detection Techniques and Applications (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Spam and Phishing Detection (2 papers). Antonio Galli collaborates with scholars based in Italy and United States. Antonio Galli's co-authors include Vincenzo Moscato, Giancarlo Sperlí, Aniello De Santo, Elio Masciari, Carlo Sansone, Gabriele Piantadosi, Stefano Marrone, Mario Sansone, Valerio La Gatta and Marco Savino Piscitelli and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Computers and Knowledge-Based Systems.

In The Last Decade

Antonio Galli

19 papers receiving 364 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Antonio Galli Italy	13	139	72	71	58	55	22	380
Sanggil Kang South Korea	12	150 1.1×	95 1.3×	37 0.5×	36 0.6×	64 1.2×	48	437
Mohammed Elbes Jordan	12	172 1.2×	86 1.2×	30 0.4×	37 0.6×	73 1.3×	29	422
Hancheng Ge United States	11	114 0.8×	92 1.3×	28 0.4×	35 0.6×	22 0.4×	20	403
D. Vijendra Babu India	12	89 0.6×	60 0.8×	34 0.5×	32 0.6×	92 1.7×	60	380
Emil Gustavsson Sweden	8	202 1.5×	41 0.6×	37 0.5×	16 0.3×	58 1.1×	15	376
Kaiwen He China	6	267 1.9×	59 0.8×	19 0.3×	22 0.4×	113 2.1×	7	453
Fatima Dakalbab United Arab Emirates	5	291 2.1×	82 1.1×	79 1.1×	92 1.6×	213 3.9×	13	523
Diletta Chiaro Italy	7	230 1.7×	56 0.8×	23 0.3×	16 0.3×	71 1.3×	23	365
Przemysław Falkowski‐Gilski Poland	13	53 0.4×	26 0.4×	38 0.5×	40 0.7×	47 0.9×	43	358

Countries citing papers authored by Antonio Galli

Since Specialization

Citations

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

Fields of papers citing papers by Antonio Galli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonio Galli

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Galli. A scholar is included among the top collaborators of Antonio Galli 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 Antonio Galli. Antonio Galli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Piantadosi, Gabriele, et al.. (2024). Photovoltaic power forecasting: A Transformer based framework. Energy and AI. 18. 100444–100444. 14 indexed citations

Galli, Antonio, Valerio La Gatta, Vincenzo Moscato, Marco Postiglione, & Giancarlo Sperlí. (2024). Explainability in AI-based behavioral malware detection systems. Computers & Security. 141. 103842–103842. 29 indexed citations

Galli, Antonio, et al.. (2023). Adversarial liveness detector: Leveraging adversarial perturbations in fingerprint liveness detection. IET Biometrics. 12(2). 102–111. 4 indexed citations

Orrù, Giulia, Antonio Galli, Stefano Marrone, et al.. (2023). Development of Technologies for the Detection of (Cyber)Bullying Actions: The BullyBuster Project. Information. 14(8). 430–430. 5 indexed citations

Galli, Antonio, et al.. (2023). A deep attention based approach for predictive maintenance applications in IoT scenarios. Journal of Manufacturing Technology Management. 34(4). 535–556. 15 indexed citations

Galli, Antonio, et al.. (2023). Benchmarking open source and paid services for speech to text: an analysis of quality and input variety. Frontiers in Big Data. 6. 1210559–1210559. 3 indexed citations

Gatta, Valerio La, et al.. (2023). Graph-Based Approach for European Law Classification. 1–9.

Galli, Antonio, Vincenzo Moscato, Simon Pietro Romano, & Giancarlo Sperlí. (2023). Playing With a Multi Armed Bandit to Optimize Resource Allocation in Satellite-Enabled 5G Networks. IEEE Transactions on Network and Service Management. 21(1). 341–354. 3 indexed citations

Simone, Luigi De, et al.. (2023). LSTM-based failure prediction for railway rolling stock equipment. Expert Systems with Applications. 222. 119767–119767. 35 indexed citations

10.

Galli, Antonio, Elio Masciari, Vincenzo Moscato, & Giancarlo Sperlí. (2022). A comprehensive Benchmark for fake news detection. Journal of Intelligent Information Systems. 59(1). 237–261. 40 indexed citations

11.

Galli, Antonio, et al.. (2022). An anomalous sound detection methodology for predictive maintenance. Expert Systems with Applications. 209. 118324–118324. 19 indexed citations

12.

Galli, Antonio, Marco Savino Piscitelli, Vincenzo Moscato, & Alfonso Capozzoli. (2022). Bridging the gap between complexity and interpretability of a data analytics-based process for benchmarking energy performance of buildings. Expert Systems with Applications. 206. 117649–117649. 26 indexed citations

13.

Galli, Antonio, et al.. (2022). Evaluating eXplainable artificial intelligence tools for hard disk drive predictive maintenance. Artificial Intelligence Review. 56(7). 7279–7314. 25 indexed citations

14.

Galli, Antonio, et al.. (2022). A Deep Learning pipeline for Network Anomaly Detection based on Autoencoders. 60. 260–264.

15.

Esposito, Christian, Antonio Galli, Vincenzo Moscato, & Giancarlo Sperlí. (2021). Multi-criteria assessment of user trust in Social Reviewing Systems with subjective logic fusion. Information Fusion. 77. 1–18. 12 indexed citations

16.

Galli, Antonio, Stefano Marrone, Gabriele Piantadosi, Mario Sansone, & Carlo Sansone. (2021). A Pipelined Tracer-Aware Approach for Lesion Segmentation in Breast DCE-MRI. Journal of Imaging. 7(12). 276–276. 8 indexed citations

17.

Santo, Aniello De, Antonio Galli, Vincenzo Moscato, & Giancarlo Sperlí. (2021). A deep learning approach for semi-supervised community detection in Online Social Networks. Knowledge-Based Systems. 229. 107345–107345. 30 indexed citations

18.

Galli, Antonio, et al.. (2020). A novel approach for predictive maintenance combining GAF encoding strategies and deep networks. 127–132. 8 indexed citations

19.

Santo, Aniello De, et al.. (2020). Deep Learning for HDD Health Assessment: An Application Based on LSTM. IEEE Transactions on Computers. 71(1). 69–80. 55 indexed citations

20.

Piantadosi, Gabriele, Stefano Marrone, Antonio Galli, Mario Sansone, & Carlo Sansone. (2019). DCE-MRI Breast Lesions Segmentation with a 3TP U-Net Deep Convolutional Neural Network. 25 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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