Andrea Borghesi

1.0k total citations
28 papers, 410 citations indexed

About

Andrea Borghesi is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Andrea Borghesi has authored 28 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Networks and Communications, 13 papers in Artificial Intelligence and 5 papers in Information Systems. Recurrent topics in Andrea Borghesi's work include Distributed and Parallel Computing Systems (8 papers), Anomaly Detection Techniques and Applications (8 papers) and Network Security and Intrusion Detection (7 papers). Andrea Borghesi is often cited by papers focused on Distributed and Parallel Computing Systems (8 papers), Anomaly Detection Techniques and Applications (8 papers) and Network Security and Intrusion Detection (7 papers). Andrea Borghesi collaborates with scholars based in Italy, Switzerland and United Kingdom. Andrea Borghesi's co-authors include Andrea Bartolini, Michela Milano, Luca Benini, Michele Lombardi, Alessio Burrello, Francesco Beneventi, Özalp Babaoğlu, Zeynep Kiziltan, Alina Sîrbu and Gregory A. Koenig and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Internet of Things Journal.

In The Last Decade

Andrea Borghesi

26 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrea Borghesi Italy 12 241 191 78 47 47 28 410
D. Janakiram India 12 384 1.6× 151 0.8× 202 2.6× 47 1.0× 29 0.6× 59 526
Raimir Holanda Filho Brazil 12 323 1.3× 102 0.5× 107 1.4× 56 1.2× 14 0.3× 58 493
Abdullah Alzaqebah Jordan 11 159 0.7× 179 0.9× 122 1.6× 53 1.1× 8 0.2× 22 380
Artemis Voulkidis Greece 10 177 0.7× 119 0.6× 59 0.8× 53 1.1× 13 0.3× 27 374
Terpsichori-Helen Velivassaki Greece 10 226 0.9× 117 0.6× 74 0.9× 50 1.1× 12 0.3× 28 376
Miguel A. Prada Spain 14 123 0.5× 95 0.5× 51 0.7× 42 0.9× 25 0.5× 54 507
Tarek Helmy Saudi Arabia 13 90 0.4× 236 1.2× 143 1.8× 30 0.6× 17 0.4× 68 554
Zahra Jadidi Australia 13 368 1.5× 292 1.5× 136 1.7× 162 3.4× 33 0.7× 49 540
Ons Aouedi France 11 419 1.7× 425 2.2× 113 1.4× 102 2.2× 15 0.3× 23 706
Christopher M. Poskitt Singapore 8 212 0.9× 250 1.3× 49 0.6× 74 1.6× 25 0.5× 27 410

Countries citing papers authored by Andrea Borghesi

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Borghesi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Borghesi

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Borghesi. A scholar is included among the top collaborators of Andrea Borghesi 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 Andrea Borghesi. Andrea Borghesi 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.
Bartolini, Andrea, et al.. (2025). An online algorithm for power consumption prediction of HPC workload. Future Generation Computer Systems. 175. 108064–108064.
2.
Milano, Michela, et al.. (2025). Federated transfer learning for anomaly detection in HPC systems: First real-world validation on a tier-0 supercomputer. Expert Systems with Applications. 298. 129754–129754. 1 indexed citations
3.
Beneventi, Francesco, et al.. (2024). GRAAFE: GRaph Anomaly Anticipation Framework for Exascale HPC systems. Future Generation Computer Systems. 160. 644–653. 4 indexed citations
4.
Zama, Daniele, Andrea Borghesi, A. Ranieri, et al.. (2024). Perspectives and Challenges of Telemedicine and Artificial Intelligence in Pediatric Dermatology. Children. 11(11). 1401–1401.
5.
Borghesi, Andrea, et al.. (2024). Machine learning approaches to predict the execution time of the meteorological simulation software COSMO. Journal of Intelligent Information Systems. 63(1). 85–109. 2 indexed citations
6.
Milano, Michela, et al.. (2024). Harnessing federated learning for anomaly detection in supercomputer nodes. Future Generation Computer Systems. 161. 673–685. 2 indexed citations
7.
Borghesi, Andrea, et al.. (2023). Towards Symbiotic Creativity: A Methodological Approach to Compare Human and AI Robotic Dance Creations. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 5806–5814. 1 indexed citations
8.
Borghesi, Andrea, et al.. (2023). Graph Neural Networks for Anomaly Anticipation in HPC Systems. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 239–244. 4 indexed citations
9.
Borghesi, Andrea, et al.. (2023). M100 ExaData: a data collection campaign on the CINECA’s Marconi100 Tier-0 supercomputer. Scientific Data. 10(1). 288–288. 13 indexed citations
10.
Borghesi, Andrea, et al.. (2023). TinderAI: Support System for Matching AI Algorithms and Embedded Devices. SHILAP Revista de lepidopterología. 36. 1 indexed citations
11.
Borghesi, Andrea, et al.. (2023). A Federated Learning Approach for Anomaly Detection in High Performance Computing. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 496–500. 3 indexed citations
12.
Borghesi, Andrea, et al.. (2022). RUAD: Unsupervised anomaly detection in HPC systems. Future Generation Computer Systems. 141. 542–554. 16 indexed citations
13.
Borghesi, Andrea, et al.. (2022). Semi-supervised anomaly detection on a Tier-0 HPC system. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 203–204. 1 indexed citations
14.
Borghesi, Andrea, et al.. (2022). HADA: An automated tool for hardware dimensioning of AI applications. Knowledge-Based Systems. 251. 109199–109199. 8 indexed citations
15.
Borghesi, Andrea, et al.. (2021). IoTwins: Design and Implementation of a Platform for the Management of Digital Twins in Industrial Scenarios. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 625–633. 18 indexed citations
16.
Borghesi, Andrea, et al.. (2021). Anomaly Detection and Anticipation in High Performance Computing Systems. IEEE Transactions on Parallel and Distributed Systems. 33(4). 739–750. 20 indexed citations
17.
Bartolini, Andrea, et al.. (2019). Paving the Way Toward Energy-Aware and Automated Datacentre. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–8. 13 indexed citations
18.
Borghesi, Andrea, Andrea Bartolini, Michele Lombardi, Michela Milano, & Luca Benini. (2018). Scheduling-based power capping in high performance computing systems. Sustainable Computing Informatics and Systems. 19. 1–13. 14 indexed citations
19.
Borghesi, Andrea & Michela Milano. (2014). Multi-agent simulator of incentive influence on PV adoption. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 2. 556–560. 4 indexed citations
20.
Borghesi, Andrea, et al.. (2013). Simulation Of Incentive Mechanisms For Renewable Energy Policies. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 32–38. 9 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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