Diego Feroldi

1.2k total citations
28 papers, 920 citations indexed

About

Diego Feroldi is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Control and Systems Engineering. According to data from OpenAlex, Diego Feroldi has authored 28 papers receiving a total of 920 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Electrical and Electronic Engineering, 14 papers in Automotive Engineering and 11 papers in Control and Systems Engineering. Recurrent topics in Diego Feroldi's work include Fuel Cells and Related Materials (13 papers), Advanced Battery Technologies Research (12 papers) and Electric and Hybrid Vehicle Technologies (8 papers). Diego Feroldi is often cited by papers focused on Fuel Cells and Related Materials (13 papers), Advanced Battery Technologies Research (12 papers) and Electric and Hybrid Vehicle Technologies (8 papers). Diego Feroldi collaborates with scholars based in Argentina and Spain. Diego Feroldi's co-authors include Maria Serra, David Zumoffen, Jordi Riera, Mauro Carignano, J. Riera, Vicente Roda, Ramon Costa‐Castelló, Marta Basualdo, Norberto M. Nigro and Sergio Junco and has published in prestigious journals such as Journal of Power Sources, Applied Energy and International Journal of Hydrogen Energy.

In The Last Decade

Diego Feroldi

26 papers receiving 891 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diego Feroldi Argentina 12 732 550 243 229 97 28 920
Ankur Bhattacharjee India 16 648 0.9× 378 0.7× 178 0.7× 181 0.8× 94 1.0× 45 904
Faouzi Bacha Tunisia 19 1.1k 1.5× 561 1.0× 418 1.7× 331 1.4× 150 1.5× 125 1.4k
F.J. Vivas Spain 17 655 0.9× 308 0.6× 326 1.3× 413 1.8× 97 1.0× 36 930
Claudio Brivio Switzerland 14 738 1.0× 550 1.0× 312 1.3× 184 0.8× 146 1.5× 33 932
Carlos Andrés García‐Vázquez Spain 17 1.1k 1.5× 668 1.2× 582 2.4× 485 2.1× 121 1.2× 59 1.4k
M. Y. Ayad France 15 651 0.9× 512 0.9× 255 1.0× 104 0.5× 37 0.4× 61 852
Fotis Stergiopoulos Greece 15 621 0.8× 278 0.5× 420 1.7× 423 1.8× 112 1.2× 28 954
Michael Schimpe Germany 15 1.3k 1.7× 1.1k 1.9× 341 1.4× 233 1.0× 45 0.5× 24 1.5k
Atanda K. Raji South Africa 12 551 0.8× 227 0.4× 285 1.2× 340 1.5× 198 2.0× 86 799
A. Aboubou Algeria 15 494 0.7× 346 0.6× 253 1.0× 90 0.4× 44 0.5× 55 688

Countries citing papers authored by Diego Feroldi

Since Specialization
Citations

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

Fields of papers citing papers by Diego Feroldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diego Feroldi

This figure shows the co-authorship network connecting the top 25 collaborators of Diego Feroldi. A scholar is included among the top collaborators of Diego Feroldi 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 Diego Feroldi. Diego Feroldi 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.
Feroldi, Diego, et al.. (2025). Data-driven recursive multivariable modeling, operation, and control of active distribution networks with distributed generation. Computers & Electrical Engineering. 123. 110241–110241.
2.
Feroldi, Diego, et al.. (2024). Hierarchical MPC ‐based control structure for continuous biodiesel production. The Canadian Journal of Chemical Engineering. 102(9). 3157–3172. 1 indexed citations
3.
Feroldi, Diego, et al.. (2022). Day-ahead optimal operation of active distribution networks with distributed generation and energy storage. International Journal of Emerging Electric Power Systems. 24(6). 817–830. 1 indexed citations
4.
Feroldi, Diego, et al.. (2022). Multivariable Control Structure Design for Voltage Regulation in Active Distribution Networks. IEEE Latin America Transactions. 20(5). 839–847. 8 indexed citations
5.
Costa‐Castelló, Ramon, et al.. (2018). Energy Management Strategy for a Bioethanol Isolated Hybrid System: Simulations and Experiments. Energies. 11(6). 1362–1362. 11 indexed citations
6.
Carignano, Mauro, Ramon Costa‐Castelló, Vicente Roda, et al.. (2017). Energy management strategy for fuel cell-supercapacitor hybrid vehicles based on prediction of energy demand. Journal of Power Sources. 360. 419–433. 120 indexed citations
7.
Feroldi, Diego, et al.. (2017). Passivity-based control design for a grid-connected hybrid generation system integrated with the energy management strategy. Journal of Process Control. 74. 99–109. 5 indexed citations
8.
Feroldi, Diego & Mauro Carignano. (2016). Sizing for fuel cell/supercapacitor hybrid vehicles based on stochastic driving cycles. Applied Energy. 183. 645–658. 90 indexed citations
9.
Feroldi, Diego, Juan Carlos Gómez, & Vicente Roda. (2016). Identification of PEM fuel cells based on support vector regression and orthonormal bases. QRU Quaderns de Recerca en Urbanisme. 2 indexed citations
10.
Feroldi, Diego. (2015). Sizing and energy management for fuel cell hybrid vehicles with supercapacitors. 1–6. 2 indexed citations
11.
Feroldi, Diego, et al.. (2014). Energy management strategy based on receding horizon for a power hybrid system. Renewable Energy. 75. 550–559. 26 indexed citations
12.
Basualdo, Marta, Diego Feroldi, & Rachid Outbib. (2012). PEM fuel cells with bio-ethanol processor systems : a multidisciplinary study of modelling, simulation, fault diagnosis and advanced control. CERN Document Server (European Organization for Nuclear Research). 8 indexed citations
13.
Feroldi, Diego, et al.. (2012). Hydrogen production based on bio-ethanol and solar energy for feeding PEM fuel cells. 33. 1189–1194. 4 indexed citations
14.
Feroldi, Diego, et al.. (2010). Dynamic Modeling and Control of a Fuel Cell Hybrid Vehicle with Onboard Fuel Processor. IFAC Proceedings Volumes. 43(5). 565–570. 2 indexed citations
15.
Zumoffen, David, et al.. (2010). Adaptive predictive robust control for fuel cells hybrid vehicles. RECERCAT (Consorci de Serveis Universitaris de Catalunya). 1–6. 4 indexed citations
16.
Feroldi, Diego, Maria Serra, & J. Riera. (2009). Design and Analysis of Fuel-Cell Hybrid Systems Oriented to Automotive Applications. IEEE Transactions on Vehicular Technology. 58(9). 4720–4729. 71 indexed citations
17.
Feroldi, Diego, et al.. (2008). Energy management strategies for fuel cell-hybrid vehicles. QRU Quaderns de Recerca en Urbanisme. 1–26. 5 indexed citations
18.
Escobet, Teresa, Diego Feroldi, Vicenç Puig, et al.. (2008). Model-based fault diagnosis in PEM fuel cell systems. Journal of Power Sources. 192(1). 216–223. 110 indexed citations
19.
Puig, Vicenç, Diego Feroldi, Maria Serra, Joseba Quevedo, & Jordi Riera. (2008). Fault-Tolerant MPC Control of PEM Fuel Cells. IFAC Proceedings Volumes. 41(2). 11112–11117. 12 indexed citations
20.
Serra, Maria, Attila Husar, Diego Feroldi, & Jordi Riera. (2006). Performance of diagonal control structures at different operating conditions for polymer electrolyte membrane fuel cells. Journal of Power Sources. 158(2). 1317–1323. 4 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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