Alessandro Aliberti

797 total citations
28 papers, 545 citations indexed

About

Alessandro Aliberti is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Artificial Intelligence. According to data from OpenAlex, Alessandro Aliberti has authored 28 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 6 papers in Automotive Engineering and 6 papers in Artificial Intelligence. Recurrent topics in Alessandro Aliberti's work include Energy Load and Power Forecasting (10 papers), Solar Radiation and Photovoltaics (6 papers) and Photovoltaic System Optimization Techniques (4 papers). Alessandro Aliberti is often cited by papers focused on Energy Load and Power Forecasting (10 papers), Solar Radiation and Photovoltaics (6 papers) and Photovoltaic System Optimization Techniques (4 papers). Alessandro Aliberti collaborates with scholars based in Italy, France and United Kingdom. Alessandro Aliberti's co-authors include Edoardo Patti, Enrico Macii, Lorenzo Bottaccioli, Andrea Acquaviva, Santa Di Cataldo, Alberto Macii, Claudio Rossi, Anna Osello, Edoardo Pasta and Giuliana Mattiazzo and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Industry Applications.

In The Last Decade

Alessandro Aliberti

25 papers receiving 526 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alessandro Aliberti Italy 11 210 202 119 103 97 28 545
Zahraa Tarek Egypt 14 98 0.5× 177 0.9× 123 1.0× 14 0.1× 7 0.1× 36 625
Dalil Hadjout Spain 3 196 0.9× 157 0.8× 80 0.7× 68 0.7× 23 0.2× 4 514
Samir Touzani United States 11 272 1.3× 74 0.4× 145 1.2× 340 3.3× 153 1.6× 23 733
Mohanad S. AL‐Musaylh Iraq 10 445 2.1× 214 1.1× 131 1.1× 52 0.5× 76 0.8× 15 685
Samuel Fernandes United States 7 215 1.0× 56 0.3× 116 1.0× 285 2.8× 132 1.4× 14 535
Arpit Kumar Sharma India 7 124 0.6× 97 0.5× 32 0.3× 32 0.3× 20 0.2× 29 386
Sung-Min Kim South Korea 11 88 0.4× 133 0.7× 46 0.4× 56 0.5× 36 0.4× 51 459

Countries citing papers authored by Alessandro Aliberti

Since Specialization
Citations

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

Fields of papers citing papers by Alessandro Aliberti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandro Aliberti

This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Aliberti. A scholar is included among the top collaborators of Alessandro Aliberti 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 Alessandro Aliberti. Alessandro Aliberti 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.
Tosco, Paolo, et al.. (2024). A Novel Procedure for Real-Time SOH Estimation of EV Battery Packs Based on Time Series Extrinsic Regression. IEEE Access. 13. 326–340. 3 indexed citations
2.
Aliberti, Alessandro, Lorenzo Bottaccioli, Edoardo Pasta, et al.. (2024). A comparative analysis of Machine Learning Techniques for short-term grid power forecasting and uncertainty analysis of Wave Energy Converters. Engineering Applications of Artificial Intelligence. 138. 109352–109352. 4 indexed citations
3.
Tosco, Paolo, et al.. (2024). Comparative Analysis of Electric Vehicle Simulator for Accurate Battery Pack Internal Signal Generation. IEEE Transactions on Industry Applications. 60(6). 9216–9226. 1 indexed citations
4.
Basile, Cataldo, et al.. (2024). Enhancing OT Threat Modelling: An Effective Rule-Based Approach for Attack Graph Generation. 142–150. 1 indexed citations
5.
6.
Aliberti, Alessandro, et al.. (2023). Modelling battery packs of real-world electric vehicles from data sheet information. 1–6. 1 indexed citations
7.
Aliberti, Alessandro, et al.. (2023). Effectiveness of neural networks and transfer learning to forecast photovoltaic power production. Applied Soft Computing. 149. 110988–110988. 10 indexed citations
8.
Aliberti, Alessandro, et al.. (2023). LSTM for Grid Power Forecasting in Short-Term from Wave Energy Converters. 1. 1495–1500. 2 indexed citations
9.
Patti, Edoardo, Alessandro Aliberti, Claudia De Luca, et al.. (2022). A resources ecosystem for digital and heritage-led holistic knowledge in rural regeneration. Journal of Cultural Heritage. 57. 265–275. 5 indexed citations
10.
Patti, Edoardo, et al.. (2022). Engaging Users in Resource Ecosystem Building for Local Heritage-Led Knowledge. Sustainability. 14(8). 4575–4575. 4 indexed citations
11.
Aliberti, Alessandro, et al.. (2022). Transformer neural networks for interpretable flood forecasting. Environmental Modelling & Software. 160. 105581–105581. 93 indexed citations
12.
Macii, Alberto, et al.. (2022). Solar radiation forecasting with deep learning techniques integrating geostationary satellite images. Engineering Applications of Artificial Intelligence. 116. 105493–105493. 27 indexed citations
13.
Aliberti, Alessandro, et al.. (2022). Effectiveness of neural networks and transfer learning for indoor air-temperature forecasting. Automation in Construction. 140. 104314–104314. 22 indexed citations
14.
Aliberti, Alessandro, et al.. (2021). Comparative Analysis of Neural Networks Techniques to Forecast Global Horizontal Irradiance. IEEE Access. 9. 122829–122846. 11 indexed citations
15.
Aliberti, Alessandro, et al.. (2021). Solar radiation forecasting based on convolutional neural network and ensemble learning. Expert Systems with Applications. 181. 115167–115167. 78 indexed citations
16.
Aliberti, Alessandro, et al.. (2021). A compound of feature selection techniques to improve solar radiation forecasting. Expert Systems with Applications. 178. 114979–114979. 56 indexed citations
17.
Aliberti, Alessandro, et al.. (2019). A Multi-Patient Data-Driven Approach to Blood Glucose Prediction. IEEE Access. 7. 69311–69325. 98 indexed citations
18.
Aliberti, Alessandro, Lorenzo Bottaccioli, Enrico Macii, et al.. (2019). A Non-Linear Autoregressive Model for Indoor Air-Temperature Predictions in Smart Buildings. Electronics. 8(9). 979–979. 31 indexed citations
19.
Aliberti, Alessandro, Lorenzo Bottaccioli, Giansalvo Cirrincione, et al.. (2018). Indoor Air-Temperature Forecast for Energy-Efficient Management in Smart Buildings. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–6. 10 indexed citations
20.
Bottaccioli, Lorenzo, Alessandro Aliberti, Edoardo Patti, et al.. (2017). Building Energy Modelling and Monitoring by Integration of IoT Devices and Building Information Models. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 914–922. 68 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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