Antonello Rosato

958 total citations
59 papers, 659 citations indexed

About

Antonello Rosato is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Antonello Rosato has authored 59 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 29 papers in Electrical and Electronic Engineering and 6 papers in Control and Systems Engineering. Recurrent topics in Antonello Rosato's work include Energy Load and Power Forecasting (18 papers), Neural Networks and Applications (13 papers) and Solar Radiation and Photovoltaics (10 papers). Antonello Rosato is often cited by papers focused on Energy Load and Power Forecasting (18 papers), Neural Networks and Applications (13 papers) and Solar Radiation and Photovoltaics (10 papers). Antonello Rosato collaborates with scholars based in Italy, United States and Sweden. Antonello Rosato's co-authors include Massimo Panella, Rodolfo Araneo, Amedeo Andreotti, Andrea Ceschini, Paolo Gasbarri, Federica Angeletti, Gianfranco Di Lorenzo, Osama A. Mohammed, Denis Kleyko and Vincenzo Eramo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Applied Energy.

In The Last Decade

Antonello Rosato

54 papers receiving 624 citations

Peers

Antonello Rosato

EEE

CSE

RESE

CSE

Yusen Wang China

Mosleh M. Alharthi Saudi Arabia

Yassine El Houm Morocco

Jian Xiao China

Xiaosheng Peng China

Jinhua Zhang China

K.V. Shihabudheen India

Xiaoming Xue China

Yongliang Yuan China

Manoj Duhan India

Yusen Wang China

Antonello Rosato

279 ×0.8

EEE

109 ×0.4

93 ×0.8

CSE

42 ×0.5

RESE

41 ×0.7

CSE

Citations per year, relative to Antonello Rosato Antonello Rosato (= 1×) peers Yusen Wang

Countries citing papers authored by Antonello Rosato

Since Specialization

Citations

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

Fields of papers citing papers by Antonello Rosato

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonello Rosato

This figure shows the co-authorship network connecting the top 25 collaborators of Antonello Rosato. A scholar is included among the top collaborators of Antonello Rosato 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 Antonello Rosato. Antonello Rosato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ceschini, Andrea, et al.. (2025). A hybrid quantum-neural network for heart disease classification. Biomedical Signal Processing and Control. 113. 109185–109185.

Rosato, Antonello, et al.. (2025). HD-CB: The First Exploration of Hyperdimensional Computing for Contextual Bandits Problems. IEEE Open Journal of the Computer Society. 7. 105–116.

Rosato, Antonello, et al.. (2024). An explainable fast deep neural network for emotion recognition. Biomedical Signal Processing and Control. 100. 107177–107177. 5 indexed citations

Rosato, Antonello, et al.. (2024). Enhancing Autism Detection Through Gaze Analysis Using Eye Tracking Sensors and Data Attribution with Distillation in Deep Neural Networks. Sensors. 24(23). 7792–7792. 3 indexed citations

Ceschini, Andrea, Antonello Rosato, & Massimo Panella. (2024). A variational approach to quantum gated recurrent units. Journal of Physics Communications. 8(8). 85004–85004. 2 indexed citations

Ceschini, Andrea, et al.. (2024). A Layerwise-Multi-Angle Approach to Fine-Tuning the Quantum Approximate Optimization Algorithm. IRIS Research product catalog (Sapienza University of Rome). 1–8.

Mastrandrea, Antonio, et al.. (2024). AeneasHDC: An Automatic Framework for Deploying Hyperdimensional Computing Models on FPGAs. IRIS Research product catalog (Sapienza University of Rome). 1–8.

Ceschini, Andrea, et al.. (2024). Q-SCALE: Quantum Computing-Based Sensor Calibration for Advanced Learning and Efficiency. IRIS Research product catalog (Sapienza University of Rome). 306–314. 1 indexed citations

Angeletti, Federica, Paolo Gasbarri, Massimo Panella, & Antonello Rosato. (2023). Multi-Damage Detection in Composite Space Structures via Deep Learning. Sensors. 23(17). 7515–7515. 5 indexed citations

10.

Rosato, Antonello, et al.. (2023). Challenges and Perspectives of Smart Grid Systems in Islands: A Real Case Study. Energies. 16(2). 583–583. 15 indexed citations

11.

Ceschini, Andrea, Antonello Rosato, & Massimo Panella. (2023). Modular quantum circuits for secure communication. SHILAP Revista de lepidopterología. 4(4). 208–217. 3 indexed citations

12.

Ceschini, Andrea, et al.. (2022). Multivariate Time Series Analysis for Electrical Power Theft Detection in the Distribution Grid. 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). 1–5. 2 indexed citations

13.

Eramo, Vincenzo, et al.. (2022). Distributed LSTM-based cloud resource allocation in Network Function Virtualization Architectures. Computer Networks. 213. 109111–109111. 17 indexed citations

14.

Rosato, Antonello, Massimo Panella, & Denis Kleyko. (2021). Hyperdimensional computing for efficient distributed classification with randomized neural networks. IRIS Research product catalog (Sapienza University of Rome). 10 indexed citations

15.

Rosato, Antonello, et al.. (2021). A Blockwise Embedding for Multi-Day-Ahead Prediction of Energy Time Series by Randomized Deep Neural Networks. IRIS Research product catalog (Sapienza University of Rome). 1–7. 3 indexed citations

16.

Panella, Massimo & Antonello Rosato. (2019). A Training Procedure for Quantum Random Vector Functional-link Networks. IRIS Research product catalog (Sapienza University of Rome). 7973–7977. 2 indexed citations

17.

Rosato, Antonello, Massimo Panella, Rodolfo Araneo, & Amedeo Andreotti. (2019). A Neural Network Based Prediction System of Distributed Generation for the Management of Microgrids. IEEE Transactions on Industry Applications. 55(6). 7092–7102. 74 indexed citations

18.

Rosato, Antonello, Rodolfo Araneo, Amedeo Andreotti, & Massimo Panella. (2019). Predictive Analysis of Photovoltaic Power Generation Using Deep Learning. IRIS Research product catalog (Sapienza University of Rome). 1–4. 1 indexed citations

19.

Rosato, Antonello, et al.. (2018). On-line Learning of RVFL Neural Networks on Finite Precision Hardware. IRIS Research product catalog (Sapienza University of Rome). 7 indexed citations

20.

Rosato, Antonello, et al.. (2017). Prediction in Photovoltaic Power by Neural Networks. Energies. 10(7). 1003–1003. 47 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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