Edoardo Patti

3.4k total citations
143 papers, 2.4k citations indexed

About

Edoardo Patti is a scholar working on Electrical and Electronic Engineering, Building and Construction and Control and Systems Engineering. According to data from OpenAlex, Edoardo Patti has authored 143 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Electrical and Electronic Engineering, 43 papers in Building and Construction and 30 papers in Control and Systems Engineering. Recurrent topics in Edoardo Patti's work include Smart Grid Energy Management (60 papers), Building Energy and Comfort Optimization (34 papers) and Energy Load and Power Forecasting (19 papers). Edoardo Patti is often cited by papers focused on Smart Grid Energy Management (60 papers), Building Energy and Comfort Optimization (34 papers) and Energy Load and Power Forecasting (19 papers). Edoardo Patti collaborates with scholars based in Italy, Germany and United Kingdom. Edoardo Patti's co-authors include Andrea Acquaviva, Enrico Macii, Lorenzo Bottaccioli, Alessandro Aliberti, Marco Jahn, Abouzar Estebsari, Enrico Pons, Luca Barbierato, Marco Pau and Santa Di Cataldo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and Applied Energy.

In The Last Decade

Edoardo Patti

136 papers receiving 2.3k 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 Patti Italy 27 1.3k 519 483 472 395 143 2.4k
Sheraz Aslam Cyprus 27 1.4k 1.1× 766 1.5× 251 0.5× 256 0.5× 424 1.1× 92 2.3k
A. R. Al-Ali United Arab Emirates 24 1.4k 1.1× 569 1.1× 203 0.4× 569 1.2× 203 0.5× 91 2.5k
Khursheed Aurangzeb Saudi Arabia 28 1.3k 1.0× 439 0.8× 320 0.7× 278 0.6× 581 1.5× 185 2.9k
Bo Nørregaard Jôrgensen Denmark 25 1.1k 0.9× 505 1.0× 618 1.3× 199 0.4× 270 0.7× 219 2.2k
Ming Jin United States 27 1.2k 0.9× 770 1.5× 624 1.3× 234 0.5× 355 0.9× 83 2.5k
Katarina Grolinger Canada 25 1.2k 1.0× 262 0.5× 579 1.2× 493 1.0× 1.1k 2.9× 72 3.3k
M. Hadi Amini United States 30 2.8k 2.3× 1.1k 2.0× 279 0.6× 366 0.8× 707 1.8× 92 4.0k
Qing‐Shan Jia China 34 2.4k 1.9× 1.6k 3.0× 853 1.8× 757 1.6× 659 1.7× 202 4.5k
Anzar Mahmood Pakistan 22 2.0k 1.6× 882 1.7× 330 0.7× 212 0.4× 162 0.4× 86 2.6k
Murat Kuzlu United States 29 2.2k 1.7× 1.3k 2.5× 451 0.9× 629 1.3× 478 1.2× 106 3.3k

Countries citing papers authored by Edoardo Patti

Since Specialization
Citations

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

Fields of papers citing papers by Edoardo Patti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edoardo Patti

This figure shows the co-authorship network connecting the top 25 collaborators of Edoardo Patti. A scholar is included among the top collaborators of Edoardo Patti 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 Patti. Edoardo Patti 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.
Capone, Martina, et al.. (2024). A Modular Co-Simulation Platform for Comparing Flexibility Solutions in District Heating Under Variable Operating Conditions. IEEE Transactions on Sustainable Computing. 10(2). 408–417. 2 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.
Barbierato, Luca, Steffen Vogel, Enrico Pons, et al.. (2024). Locally Distributed Digital Real-Time Power System Co-Simulation via Multi-Phase Distributed Transmission Line Model. IEEE Transactions on Industry Applications. 60(6). 8137–8146. 1 indexed citations
5.
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
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.. (2022). Transformer neural networks for interpretable flood forecasting. Environmental Modelling & Software. 160. 105581–105581. 93 indexed citations
9.
Patti, Edoardo, et al.. (2022). Engaging Users in Resource Ecosystem Building for Local Heritage-Led Knowledge. Sustainability. 14(8). 4575–4575. 4 indexed citations
10.
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
11.
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
12.
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
13.
Ardito, Luca, et al.. (2021). Computational Cost Analysis and Data-Driven Predictive Modeling of Cloud-Based Online-NILM Algorithm. IEEE Transactions on Cloud Computing. 10(4). 2409–2423. 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.
Bottaccioli, Lorenzo, et al.. (2020). Supporting Telecommunication Alarm Management System With Trouble Ticket Prediction. IEEE Transactions on Industrial Informatics. 17(2). 1459–1469. 13 indexed citations
16.
Pagliari, Daniele Jahier, et al.. (2019). A Comparison Analysis of BLE-Based Algorithms for Localization in Industrial Environments. Electronics. 9(1). 44–44. 23 indexed citations
17.
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
18.
Acquaviva, Andrea, et al.. (2018). A Cloud-Based On-Line Disaggregation Algorithm for Home Appliance Loads. IEEE Transactions on Smart Grid. 10(3). 3430–3439. 91 indexed citations
19.
Bottaccioli, Lorenzo, Abouzar Estebsari, Enrico Pons, et al.. (2017). A Flexible Distributed Infrastructure for Real-Time Cosimulations in Smart Grids. IEEE Transactions on Industrial Informatics. 13(6). 3265–3274. 31 indexed citations
20.
Bonino, Dario, et al.. (2016). Towards an ontology driven approach for systems interoperability and energy management in the smart city. PORTO Publications Open Repository TOrino (Politecnico di Torino). 1–7. 24 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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