Giuseppina Andresini

931 total citations
21 papers, 551 citations indexed

About

Giuseppina Andresini is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Giuseppina Andresini has authored 21 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Networks and Communications, 12 papers in Artificial Intelligence and 7 papers in Signal Processing. Recurrent topics in Giuseppina Andresini's work include Network Security and Intrusion Detection (14 papers), Anomaly Detection Techniques and Applications (9 papers) and Advanced Malware Detection Techniques (7 papers). Giuseppina Andresini is often cited by papers focused on Network Security and Intrusion Detection (14 papers), Anomaly Detection Techniques and Applications (9 papers) and Advanced Malware Detection Techniques (7 papers). Giuseppina Andresini collaborates with scholars based in Italy, France and United Kingdom. Giuseppina Andresini's co-authors include Annalisa Appice, Donato Malerba, Corrado Appice Annalisa Malerba Donato Loglisci, Luca Rose, Nicola Di Mauro, Feargus Pendlebury, Fabio Pierazzi, Lorenzo Cavallaro, Gennaro Vessio and Dino Ienco and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Information Sciences.

In The Last Decade

Giuseppina Andresini

20 papers receiving 522 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giuseppina Andresini Italy 10 430 411 195 57 30 21 551
Jinting Zhu New Zealand 8 183 0.4× 189 0.5× 133 0.7× 41 0.7× 19 0.6× 11 328
Mingwei Zhang China 11 162 0.4× 412 1.0× 367 1.9× 115 2.0× 9 0.3× 42 588
Yijia Xu China 12 71 0.2× 101 0.2× 126 0.6× 106 1.9× 14 0.5× 36 315
Jiong Zhang United States 7 528 1.2× 464 1.1× 229 1.2× 132 2.3× 50 1.7× 17 664
Junzheng Shi China 10 248 0.6× 269 0.7× 119 0.6× 54 0.9× 10 0.3× 25 335
Muhammad Ejaz Ahmed Australia 13 334 0.8× 194 0.5× 199 1.0× 125 2.2× 27 0.9× 49 528
Martin Řehák Czechia 13 240 0.6× 221 0.5× 112 0.6× 81 1.4× 16 0.5× 47 419
Barış Koçer Türkiye 9 136 0.3× 112 0.3× 143 0.7× 100 1.8× 18 0.6× 16 290
Eric Allman United States 10 196 0.5× 135 0.3× 58 0.3× 107 1.9× 7 0.2× 34 365
Shanqing Jiang China 6 490 1.1× 380 0.9× 274 1.4× 67 1.2× 48 1.6× 11 565

Countries citing papers authored by Giuseppina Andresini

Since Specialization
Citations

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

Fields of papers citing papers by Giuseppina Andresini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giuseppina Andresini

This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppina Andresini. A scholar is included among the top collaborators of Giuseppina Andresini 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 Giuseppina Andresini. Giuseppina Andresini 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.
Rose, Luca, Giuseppina Andresini, Annalisa Appice, & Donato Malerba. (2025). OLIVANDER: a counterfactual-based method to generate adversarial Windows PE malware. Data Mining and Knowledge Discovery. 39(5).
2.
Andresini, Giuseppina, Annalisa Appice, & Donato Malerba. (2024). A Deep Semantic Segmentation Approach to Map Forest Tree Dieback in Sentinel-2 Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 17075–17086. 1 indexed citations
3.
Andresini, Giuseppina, et al.. (2024). PANACEA: a neural model ensemble for cyber-threat detection. Machine Learning. 113(8). 5379–5422. 9 indexed citations
4.
Andresini, Giuseppina, Annalisa Appice, & Donato Malerba. (2024). Leveraging Sentinel-2 time series for bark beetle-induced forest dieback inventory. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 875–882. 2 indexed citations
5.
Rose, Luca, Giuseppina Andresini, Annalisa Appice, & Donato Malerba. (2024). VINCENT: Cyber-threat detection through vision transformers and knowledge distillation. Computers & Security. 144. 103926–103926. 4 indexed citations
6.
Andresini, Giuseppina, et al.. (2024). Potential of Spectral-Spatial Analysis to Map Forest Tree Dieback Due to Bark Beetle Hotspots in Sentinel-2 Images. SPIRE - Sciences Po Institutional REpository. 5227–5230. 2 indexed citations
7.
Andresini, Giuseppina, et al.. (2024). DIAMANTE: A data-centric semantic segmentation approach to map tree dieback induced by bark beetle infestations via satellite images. Journal of Intelligent Information Systems. 62(6). 1531–1558. 3 indexed citations
8.
Andresini, Giuseppina, Annalisa Appice, & Donato Malerba. (2023). : An eXplainable Framework to Map Bark Beetle Infestation in Sentinel-2 Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 10050–10066. 10 indexed citations
9.
Andresini, Giuseppina, et al.. (2023). PANACEA: A Neural Model Ensemble for Cyber-Threat Detection. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 1–2. 1 indexed citations
10.
Andresini, Giuseppina, Annalisa Appice, Dino Ienco, & Donato Malerba. (2022). SENECA: Change detection in optical imagery using Siamese networks with Active-Transfer Learning. Expert Systems with Applications. 214. 119123–119123. 9 indexed citations
11.
Andresini, Giuseppina, et al.. (2022). ROULETTE: A neural attention multi-output model for explainable Network Intrusion Detection. Expert Systems with Applications. 201. 117144–117144. 39 indexed citations
12.
Andresini, Giuseppina, et al.. (2022). EUPHORIA: A neural multi-view approach to combine content and behavioral features in review spam detection. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 3. 100036–100036. 11 indexed citations
13.
Andresini, Giuseppina, et al.. (2022). An XAI-based adversarial training approach for cyber-threat detection. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 1–8. 8 indexed citations
14.
Andresini, Giuseppina, Annalisa Appice, Luca Rose, & Donato Malerba. (2021). GAN augmentation to deal with imbalance in imaging-based intrusion detection. Future Generation Computer Systems. 123. 108–127. 90 indexed citations
15.
Andresini, Giuseppina, et al.. (2021). Leveraging autoencoders in change vector analysis of optical satellite images. Journal of Intelligent Information Systems. 58(3). 433–452. 6 indexed citations
16.
Andresini, Giuseppina, Feargus Pendlebury, Fabio Pierazzi, et al.. (2021). INSOMNIA. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 111–122. 51 indexed citations
17.
Andresini, Giuseppina, Annalisa Appice, & Donato Malerba. (2021). Autoencoder-based deep metric learning for network intrusion detection. Information Sciences. 569. 706–727. 97 indexed citations
18.
Andresini, Giuseppina, Annalisa Appice, Nicola Di Mauro, Corrado Appice Annalisa Malerba Donato Loglisci, & Donato Malerba. (2020). Multi-Channel Deep Feature Learning for Intrusion Detection. IEEE Access. 8. 53346–53359. 91 indexed citations
19.
Appice, Annalisa, Giuseppina Andresini, & Donato Malerba. (2020). Clustering-Aided Multi-View Classification: A Case Study on Android Malware Detection. Journal of Intelligent Information Systems. 55(1). 1–26. 18 indexed citations
20.
Andresini, Giuseppina, Annalisa Appice, Nicola Di Mauro, Corrado Appice Annalisa Malerba Donato Loglisci, & Donato Malerba. (2019). Exploiting the Auto-Encoder Residual Error for Intrusion Detection. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 281–290. 22 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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