Marcello Torchio

641 total citations
15 papers, 538 citations indexed

About

Marcello Torchio is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Marcello Torchio has authored 15 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Automotive Engineering, 11 papers in Electrical and Electronic Engineering and 5 papers in Control and Systems Engineering. Recurrent topics in Marcello Torchio's work include Advanced Battery Technologies Research (12 papers), Advancements in Battery Materials (9 papers) and Electric Vehicles and Infrastructure (4 papers). Marcello Torchio is often cited by papers focused on Advanced Battery Technologies Research (12 papers), Advancements in Battery Materials (9 papers) and Electric Vehicles and Infrastructure (4 papers). Marcello Torchio collaborates with scholars based in Italy, United States and Canada. Marcello Torchio's co-authors include Davide M. Raimondo, Richard D. Braatz, Lalo Magni, R. Bhushan Gopaluni, Andrea Pozzi, Gregory J. Offer, Ian D. Campbell, Monica Marinescu, Nicolas Wolff and Joel A. Paulson and has published in prestigious journals such as Journal of The Electrochemical Society, Journal of Power Sources and Energies.

In The Last Decade

Marcello Torchio

15 papers receiving 521 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcello Torchio Italy 10 481 480 71 14 13 15 538
Alejandro Gismero Denmark 7 341 0.7× 385 0.8× 90 1.3× 5 0.4× 35 2.7× 13 401
Michael D’Antonio United States 7 542 1.1× 340 0.7× 69 1.0× 13 0.9× 3 0.2× 9 565
Bernard Sahut France 4 228 0.5× 260 0.5× 85 1.2× 8 0.6× 12 0.9× 9 339
Scott G. Marquis United Kingdom 3 252 0.5× 272 0.6× 26 0.4× 7 0.5× 4 0.3× 4 310
Marcus Knips Germany 3 365 0.8× 386 0.8× 49 0.7× 10 0.7× 19 1.5× 3 410
S. Nejad United Kingdom 9 601 1.2× 568 1.2× 247 3.5× 14 1.0× 28 2.2× 14 687
Samuel Greenbank United Kingdom 5 421 0.9× 453 0.9× 66 0.9× 3 0.2× 86 6.6× 6 484
Tedjani Mesbahi France 8 303 0.6× 313 0.7× 94 1.3× 59 4.2× 9 0.7× 11 391
Dong-Jie Gu China 7 417 0.9× 374 0.8× 105 1.5× 14 1.0× 13 1.0× 10 464
Mehdi Gholizadeh Austria 5 279 0.6× 282 0.6× 93 1.3× 9 0.6× 18 1.4× 16 332

Countries citing papers authored by Marcello Torchio

Since Specialization
Citations

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

Fields of papers citing papers by Marcello Torchio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcello Torchio

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

All Works

15 of 15 papers shown
1.
Torchio, Marcello, et al.. (2022). Design and validation of scalable PHM solutions for aerospace onboard systems. PHM Society European Conference. 7(1). 126–135. 2 indexed citations
2.
Torchio, Marcello, Beniamino Guida, Jason Atkin, et al.. (2021). ENIGMA—A Centralised Supervisory Controller for Enhanced Onboard Electrical Energy Management with Model in the Loop Demonstration. Energies. 14(17). 5518–5518. 16 indexed citations
3.
Pozzi, Andrea, Marcello Torchio, Richard D. Braatz, & Davide M. Raimondo. (2020). Optimal charging of an electric vehicle battery pack: A real-time sensitivity-based model predictive control approach. Journal of Power Sources. 461. 228133–228133. 46 indexed citations
4.
Campbell, Ian D., et al.. (2019). Optimising lithium-ion cell design for plug-in hybrid and battery electric vehicles. Journal of Energy Storage. 22. 228–238. 51 indexed citations
5.
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
6.
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
7.
Torchio, Marcello. (2017). Model Predictive Control Strategies for Advanced Battery Management Systems. 1 indexed citations
8.
Torchio, Marcello, Lalo Magni, Richard D. Braatz, & Davide M. Raimondo. (2017). Design of Piecewise Affine and Linear Time-Varying Model Predictive Control Strategies for Advanced Battery Management Systems. Journal of The Electrochemical Society. 164(4). A949–A959. 21 indexed citations
9.
Lucia, Sergio, Marcello Torchio, Davide M. Raimondo, et al.. (2017). Towards adaptive health-aware charging of Li-ion batteries: A real-time predictive control approach using first-principles models. ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/). 4717–4722. 18 indexed citations
10.
Torchio, Marcello, Carlos Ocampo‐Martínez, Lalo Magni, et al.. (2016). Fast Model Predictive Control for hydrogen outflow regulation in Ethanol Steam Reformers. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 5044–5049. 5 indexed citations
11.
Torchio, Marcello, Lalo Magni, Richard D. Braatz, & Davide M. Raimondo. (2016). Optimal charging of a Li-ion cell: A hybrid Model Predictive Control approach. ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/). 2015. 4053–4058. 6 indexed citations
12.
Torchio, Marcello, Lalo Magni, Richard D. Braatz, & Davide M. Raimondo. (2016). Optimal Health-aware Charging Protocol for Lithium-ion Batteries: A Fast Model Predictive Control Approach. IFAC-PapersOnLine. 49(7). 827–832. 27 indexed citations
13.
Torchio, Marcello, Lalo Magni, R. Bhushan Gopaluni, Richard D. Braatz, & Davide M. Raimondo. (2016). LIONSIMBA: A Matlab Framework Based on a Finite Volume Model Suitable for Li-Ion Battery Design, Simulation, and Control. Journal of The Electrochemical Society. 163(7). A1192–A1205. 240 indexed citations
14.
Torchio, Marcello, Lalo Magni, & Davide Raimondo. (2015). A mixed integer SDP approach for the optimal placement of energy storage devices in power grids with renewable penetration. 3892–3897. 11 indexed citations
15.
Torchio, Marcello, Nicolas Wolff, Davide M. Raimondo, et al.. (2015). Real-time model predictive control for the optimal charging of a lithium-ion battery. ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/). 4536–4541. 67 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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2026