Andrea Pozzi

550 total citations
31 papers, 360 citations indexed

About

Andrea Pozzi is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Control and Systems Engineering. According to data from OpenAlex, Andrea Pozzi has authored 31 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 19 papers in Automotive Engineering and 7 papers in Control and Systems Engineering. Recurrent topics in Andrea Pozzi's work include Advanced Battery Technologies Research (18 papers), Advancements in Battery Materials (11 papers) and Electric Vehicles and Infrastructure (8 papers). Andrea Pozzi is often cited by papers focused on Advanced Battery Technologies Research (18 papers), Advancements in Battery Materials (11 papers) and Electric Vehicles and Infrastructure (8 papers). Andrea Pozzi collaborates with scholars based in Italy, United States and Japan. Andrea Pozzi's co-authors include Davide M. Raimondo, Daniele Toti, Marcello Torchio, Scott Moura, Stefan Volkwein, Gabriele Ciaramella, Richard D. Braatz, Hector E. Perez, Saehong Park and Won Tae Joe and has published in prestigious journals such as Advanced Energy Materials, Journal of Power Sources and Electrochimica Acta.

In The Last Decade

Andrea Pozzi

28 papers receiving 350 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 Pozzi Italy 11 277 269 61 23 18 31 360
A. V. V. Sudhakar India 8 98 0.4× 231 0.9× 48 0.8× 13 0.6× 17 0.9× 30 285
Marcello Torchio Italy 10 480 1.7× 481 1.8× 71 1.2× 11 0.5× 13 0.7× 15 538
Shifei Yuan China 9 443 1.6× 409 1.5× 96 1.6× 6 0.3× 15 0.8× 13 473
Kerry D. McBee United States 9 95 0.3× 352 1.3× 170 2.8× 14 0.6× 21 1.2× 16 384
Bo Lin China 6 152 0.5× 139 0.5× 28 0.5× 10 0.4× 8 0.4× 19 273
Verena Klass Sweden 7 548 2.0× 483 1.8× 122 2.0× 12 0.5× 80 4.4× 12 574
Etse Dablu Bobobee China 10 320 1.2× 281 1.0× 105 1.7× 6 0.3× 24 1.3× 17 348
M. Murali India 10 81 0.3× 208 0.8× 37 0.6× 15 0.7× 8 0.4× 50 241
Wenhua Xu China 11 392 1.4× 335 1.2× 122 2.0× 5 0.2× 26 1.4× 19 420
Maysam Abbasi Iran 12 106 0.4× 354 1.3× 162 2.7× 9 0.4× 9 0.5× 19 391

Countries citing papers authored by Andrea Pozzi

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Pozzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Pozzi

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Pozzi. A scholar is included among the top collaborators of Andrea Pozzi 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 Pozzi. Andrea Pozzi 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.
Pozzi, Andrea, et al.. (2025). Mitigating exposure bias in large language model distillation: an imitation learning approach. Neural Computing and Applications. 37(18). 12013–12029. 3 indexed citations
2.
Barbierato, Enrico, et al.. (2025). Breaking Away From AI: The Ontological and Ethical Evolution of Machine Learning. IEEE Access. 13. 55627–55647. 7 indexed citations
3.
Rahimi, Sajad, et al.. (2025). Enhancing Specific Energy and Cycling Stability of High‐Temperature Na‐ZnCl2 Batteries with Foam‐Based Electrodes. Advanced Energy Materials. 15(32). 1 indexed citations
4.
Goldbeck, Gerhard, et al.. (2024). Battery testing ontology: An EMMO-based semantic framework for representing knowledge in battery testing and battery quality control. Computers in Industry. 164. 104203–104203. 5 indexed citations
5.
Pozzi, Andrea, et al.. (2024). Deep Learning-Based Predictive Control for Optimal Battery Management in Microgrids. IEEE Access. 12. 141580–141593. 10 indexed citations
6.
7.
8.
Pozzi, Andrea, Scott Moura, & Daniele Toti. (2023). A deep learning-based predictive controller for the optimal charging of a lithium-ion cell with non-measurable states. Computers & Chemical Engineering. 173. 108222–108222. 11 indexed citations
9.
Pozzi, Andrea, Enrico Barbierato, & Daniele Toti. (2023). Cryptoblend: An AI-Powered Tool for Aggregation and Summarization of Cryptocurrency News. Informatics. 10(1). 5–5. 5 indexed citations
10.
Pozzi, Andrea, Enrico Barbierato, & Daniele Toti. (2023). Optimizing Battery Charging Using Neural Networks in the Presence of Unknown States and Parameters. Sensors. 23(9). 4404–4404. 11 indexed citations
11.
Barbierato, Enrico, Andrea Pozzi, & Daniele Tessera. (2023). Controlling Bias Between Categorical Attributes in Datasets: A Two-Step Optimization Algorithm Leveraging Structural Equation Modeling. IEEE Access. 11. 115493–115510. 2 indexed citations
12.
Pozzi, Andrea & Daniele Toti. (2023). Imitation Learning for Agnostic Battery Charging: A DAGGER-Based Approach. IEEE Access. 11. 115190–115203. 7 indexed citations
13.
Heinz, Meike V. F., et al.. (2023). Cell design strategies for sodium-zinc chloride (Na-ZnCl2) batteries, and first demonstration of tubular cells with 38 Ah capacity. Electrochimica Acta. 464. 142881–142881. 9 indexed citations
14.
Park, Saehong, Andrea Pozzi, Hector E. Perez, et al.. (2022). A Deep Reinforcement Learning Framework for Fast Charging of Li-Ion Batteries. IEEE Transactions on Transportation Electrification. 8(2). 2770–2784. 79 indexed citations
15.
Pozzi, Andrea & Davide M. Raimondo. (2022). Stochastic model predictive control for optimal charging of electric vehicles battery packs. Journal of Energy Storage. 55. 105332–105332. 23 indexed citations
16.
Pozzi, Andrea, Scott Moura, & Daniele Toti. (2022). A Neural Network-Based Approximation of Model Predictive Control for a Lithium-Ion Battery with Electro-Thermal Dynamics. 160–165. 5 indexed citations
17.
Pozzi, Andrea, Scott Moura, & Daniele Toti. (2022). Deep Learning-Based Predictive Control for the Optimal Charging of a Lithium-Ion Battery with Electrochemical Dynamics. 785–790. 5 indexed citations
18.
Pozzi, Andrea, et al.. (2018). Battery ageing-aware stochastic management of power networks in islanded mode. 72. 571–578. 1 indexed citations
19.
Pozzi, Andrea, Marcello Torchio, & Davide M. Raimondo. (2018). Assessing the Performance of Model-Based Energy Saving Charging Strategies in Li-Ion Cells. 2018 IEEE Conference on Control Technology and Applications (CCTA). 30. 806–811. 9 indexed citations
20.
Pozzi, Andrea, Marcello Torchio, & Davide M. Raimondo. (2018). Film growth minimization in a Li-ion cell: a Pseudo Two Dimensional model-based optimal charging approach. ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/). 1753–1758. 18 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by A. V. V. Sudhakar Breakdown of academic impact, for papers by Marcello Torchio Breakdown of academic impact, for papers by Shifei Yuan Breakdown of academic impact, for papers by Kerry D. McBee Breakdown of academic impact, for papers by Bo Lin Breakdown of academic impact, for papers by Verena Klass Breakdown of academic impact, for papers by Etse Dablu Bobobee Breakdown of academic impact, for papers by M. Murali Breakdown of academic impact, for papers by Wenhua Xu Breakdown of academic impact, for papers by Maysam Abbasi
Rankless by CCL
2026