Edoardo Serra

941 total citations
71 papers, 548 citations indexed

About

Edoardo Serra is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Edoardo Serra has authored 71 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 28 papers in Computer Networks and Communications and 27 papers in Information Systems. Recurrent topics in Edoardo Serra's work include Network Security and Intrusion Detection (21 papers), Advanced Malware Detection Techniques (11 papers) and Complex Network Analysis Techniques (9 papers). Edoardo Serra is often cited by papers focused on Network Security and Intrusion Detection (21 papers), Advanced Malware Detection Techniques (11 papers) and Complex Network Analysis Techniques (9 papers). Edoardo Serra collaborates with scholars based in United States, Italy and France. Edoardo Serra's co-authors include V. S. Subrahmanian, Antonino Rullo, Francesca Spezzano, Noseong Park, Sushil Jajodia, Carlo Zaniolo, Alfredo Cuzzocrea, Dianxiang Xu, Elisa Bertino and Andrea Pugliese and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Edoardo Serra

66 papers receiving 536 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edoardo Serra United States 15 293 233 206 142 67 71 548
Chunhe Xia China 14 380 1.3× 245 1.1× 198 1.0× 164 1.2× 45 0.7× 103 662
Šarūnas Girdzijauskas Sweden 14 371 1.3× 213 0.9× 162 0.8× 45 0.3× 108 1.6× 56 620
Simone Raponi Qatar 11 267 0.9× 158 0.7× 178 0.9× 100 0.7× 43 0.6× 16 534
Vipin Swarup United States 12 540 1.8× 308 1.3× 375 1.8× 264 1.9× 115 1.7× 33 840
Nagwa Badr Egypt 14 218 0.7× 176 0.8× 250 1.2× 48 0.3× 67 1.0× 100 567
Guangxia Xu China 13 208 0.7× 214 0.9× 202 1.0× 41 0.3× 50 0.7× 38 502
Chin‐Tser Huang United States 15 622 2.1× 346 1.5× 279 1.4× 125 0.9× 77 1.1× 100 966
Aibo Song China 12 360 1.2× 155 0.7× 357 1.7× 50 0.4× 55 0.8× 67 609
Uyen Trang Nguyen Canada 16 594 2.0× 183 0.8× 271 1.3× 104 0.7× 60 0.9× 67 922
Lisa Amini United States 13 495 1.7× 291 1.2× 197 1.0× 115 0.8× 88 1.3× 34 727

Countries citing papers authored by Edoardo Serra

Since Specialization
Citations

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

Fields of papers citing papers by Edoardo Serra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edoardo Serra

This figure shows the co-authorship network connecting the top 25 collaborators of Edoardo Serra. A scholar is included among the top collaborators of Edoardo Serra 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 Edoardo Serra. Edoardo Serra 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.
Layne, Janet, et al.. (2024). Analyzing Robustness of Automatic Scientific Claim Verification Tools against Adversarial Rephrasing Attacks. ACM Transactions on Intelligent Systems and Technology. 15(5). 1–32. 2 indexed citations
2.
Guerrieri, Antonio, et al.. (2024). A hybrid deep learning model for UWB radar-based human activity recognition. Internet of Things. 29. 101458–101458. 2 indexed citations
3.
Serra, Edoardo, et al.. (2024). Power Grid Anomaly Detection via Hybrid LSTM-GIN Model (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence. 38(21). 23525–23527. 1 indexed citations
4.
Rullo, Antonino, et al.. (2024). Trace Encoding Techniques for Multi‐Perspective Process Mining: A Comparative Study. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 15(1).
5.
6.
Spezzano, Francesca, et al.. (2023). Joint Credibility Estimation of News, User, and Publisher via Role-relational Graph Convolutional Networks. ACM Transactions on the Web. 18(1). 1–24. 7 indexed citations
7.
Serra, Edoardo, et al.. (2022). Structural iterative lexicographic autoencoded node representation. Data Mining and Knowledge Discovery. 37(1). 289–317. 1 indexed citations
8.
Manco, Giuseppe, Ettore Ritacco, Antonino Rullo, Domenico Saccà, & Edoardo Serra. (2022). Machine learning methods for generating high dimensional discrete datasets. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 12(2). 4 indexed citations
9.
Daley, Brian J., et al.. (2022). GAPS: Generality and Precision with Shapley Attribution. 2022 IEEE International Conference on Big Data (Big Data). 5444–5450. 1 indexed citations
10.
Serra, Edoardo, et al.. (2020). Multi-modal social and psycho-linguistic embedding via recurrent neural networks to identify depressed users in online forums. Network Modeling Analysis in Health Informatics and Bioinformatics. 9(1). 23 indexed citations
11.
Serra, Edoardo, et al.. (2020). Large-scale Sparse Structural Node Representation. Scholar Works (Boise State University). 5247–5253. 8 indexed citations
12.
Serra, Edoardo, et al.. (2019). Detecting Saturation Attacks in SDN via Machine Learning. Scholar Works (Boise State University). 1–8. 22 indexed citations
13.
Serra, Edoardo, et al.. (2019). Framework for Detecting Control Command Injection Attacks on Industrial Control Systems (ICS). Scholar Works (Boise State University). 211–217. 2 indexed citations
14.
Jajodia, Sushil, Noseong Park, Edoardo Serra, & V. S. Subrahmanian. (2018). SHARE. ACM Transactions on Internet Technology. 18(3). 1–41. 12 indexed citations
15.
Serra, Edoardo, et al.. (2018). Unknown Landscape Identification with CNN Transfer Learning. Scholar Works (Boise State University). 813–820. 9 indexed citations
16.
Jajodia, Sushil, Noseong Park, Fabio Pierazzi, et al.. (2017). A Probabilistic Logic of Cyber Deception. IEEE Transactions on Information Forensics and Security. 12(11). 2532–2544. 27 indexed citations
17.
Rullo, Antonino, Daniele Midi, Edoardo Serra, & Elisa Bertino. (2017). Pareto Optimal Security Resource Allocation for Internet of Things. ACM Transactions on Privacy and Security. 20(4). 1–30. 21 indexed citations
18.
Serra, Edoardo, et al.. (2016). Evaluating the impact of social media in detecting health-violating restaurants. Scholar Works (Boise State University). 626–633. 1 indexed citations
19.
Saccà, Domenico & Edoardo Serra. (2013). Data Posting: a New Frontier for Data Exchange in the Big Data Era.. 3 indexed citations
20.
Guzzo, Antonella, Luigi Moccia, Domenico Saccà, & Edoardo Serra. (2013). Solving inverse frequent itemset mining with infrequency constraints via large-scale linear programs. ACM Transactions on Knowledge Discovery from Data. 7(4). 1–39. 5 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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