Roberto Di Rienzo

548 total citations
39 papers, 359 citations indexed

About

Roberto Di Rienzo is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Hardware and Architecture. According to data from OpenAlex, Roberto Di Rienzo has authored 39 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Automotive Engineering, 32 papers in Electrical and Electronic Engineering and 10 papers in Hardware and Architecture. Recurrent topics in Roberto Di Rienzo's work include Advanced Battery Technologies Research (35 papers), Advancements in Battery Materials (20 papers) and Advanced Battery Materials and Technologies (9 papers). Roberto Di Rienzo is often cited by papers focused on Advanced Battery Technologies Research (35 papers), Advancements in Battery Materials (20 papers) and Advanced Battery Materials and Technologies (9 papers). Roberto Di Rienzo collaborates with scholars based in Italy, Germany and Netherlands. Roberto Di Rienzo's co-authors include Federico Baronti, Roberto Roncella, Roberto Saletti, Marco Lagnoni, Antonio Bertei, Andrea Catte, Francesca D’Autilia, Giuseppe Brancato, Francesco Cardarelli and Balasubramanian Chandramouli and has published in prestigious journals such as Scientific Reports, IEEE Access and Energies.

In The Last Decade

Roberto Di Rienzo

36 papers receiving 333 citations

Peers

Roberto Di Rienzo

EEE

CSE

Markus H. Hofmann Germany

Hong-Sun Park South Korea

Jianning Yin China

Scott G. Marquis United Kingdom

Andrew Weng United States

Maria Teresa Outeiro Portugal

Lenin Martins Ferreira Morais Brazil

A.P. Van den Bossche Belgium

Markus H. Hofmann Germany

Roberto Di Rienzo

367 ×1.2

350 ×1.3

EEE

65 ×1.4

CSE

7 ×0.2

56 ×2.1

Citations per year, relative to Roberto Di Rienzo Roberto Di Rienzo (= 1×) peers Markus H. Hofmann

Countries citing papers authored by Roberto Di Rienzo

Since Specialization

Citations

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

Fields of papers citing papers by Roberto Di Rienzo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto Di Rienzo. 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 Roberto Di Rienzo. The network helps show where Roberto Di Rienzo may publish in the future.

Co-authorship network of co-authors of Roberto Di Rienzo

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Di Rienzo. A scholar is included among the top collaborators of Roberto Di Rienzo 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 Roberto Di Rienzo. Roberto Di Rienzo 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

Rienzo, Roberto Di, et al.. (2024). Estimation of lithium-ion battery electrochemical properties from equivalent circuit model parameters using machine learning. Journal of Energy Storage. 99. 113257–113257. 15 indexed citations

Rienzo, Roberto Di, et al.. (2024). Open Hardware/Software Modular Battery Emulator for Battery Management Systems Development and Functional Testing. IEEE Access. 12. 84488–84497.

Rienzo, Roberto Di, et al.. (2024). Electrical Circuit Model for Sodium-ion Batteries. CINECA IRIS Institutial research information system (University of Pisa). 1–6. 1 indexed citations

Martino, Michele, et al.. (2024). A Dynamic Equalization Topology Based on Auxiliary Cell: Theoretical and Simulative Analyses. CINECA IRIS Institutial research information system (University of Pisa). 1–6.

Rienzo, Roberto Di, et al.. (2023). Modular Battery Emulator for Development and Functional Testing of Battery Management Systems: Hardware Design and Characterization. Electronics. 12(5). 1232–1232. 8 indexed citations

Rienzo, Roberto Di, et al.. (2023). Comparison of active energy-balance architectures for second-life battery dynamic equalization. CINECA IRIS Institutial research information system (University of Pisa). 1–6. 3 indexed citations

Rienzo, Roberto Di, et al.. (2023). Cloud-Based Optimization of a Battery Model Parameter Identification Algorithm for Battery State-of-Health Estimation in Electric Vehicles. Batteries. 9(10). 486–486. 13 indexed citations

Rienzo, Roberto Di, et al.. (2023). Comparison of battery string parallelization systems to improve Na-NiCl2 battery reliability. CINECA IRIS Institutial research information system (University of Pisa). 1–6. 1 indexed citations

Rienzo, Roberto Di, et al.. (2023). Unscented Kalman Filter based Coestimation of SoC and SoH_R in Lithium Battery with Hysteresis. CINECA IRIS Institutial research information system (University of Pisa). 1–6. 1 indexed citations

10.

Rienzo, Roberto Di, et al.. (2022). Low-cost Systems to Measure the Volume Variation of Lithium-ion Cells. CINECA IRIS Institutial research information system (University of Pisa). 7. 1–6. 1 indexed citations

11.

Baronti, Federico, et al.. (2021). An Open-Hardware and Low-Cost Maintenance Tool for Light-Electric-Vehicle Batteries. Energies. 14(16). 4962–4962. 8 indexed citations

12.

Rienzo, Roberto Di, et al.. (2020). FPGA Accelerator for Battery Management Systems in Safety-Critical Applications. CINECA IRIS Institutial research information system (University of Pisa). 261–266. 5 indexed citations

13.

Rienzo, Roberto Di, et al.. (2020). Modeling the Load Equivalent Resistance of a Series-Series Inductive-Coupled Resonant Wireless Power Transfer System. CINECA IRIS Institutial research information system (University of Pisa). 345–350.

14.

Baronti, Federico, et al.. (2020). Effect of the DC-Link Capacitor Size on the Wireless Inductive-Coupled Opportunity-Charging of a Drone Battery. Energies. 13(10). 2621–2621. 3 indexed citations

15.

Rienzo, Roberto Di, et al.. (2020). Passive balancing algorithm for charge equalization of series connected battery cells. CINECA IRIS Institutial research information system (University of Pisa). 29 indexed citations

16.

D’Autilia, Francesca, Balasubramanian Chandramouli, Andrea Catte, et al.. (2019). Interplay between lipid lateral diffusion, dye concentration and membrane permeability unveiled by a combined spectroscopic and computational study of a model lipid bilayer. Scientific Reports. 9(1). 1508–1508. 33 indexed citations

17.

Rienzo, Roberto Di, et al.. (2019). Implementation and Test of a 48 V Smart Battery System with Integrated DC/DC Converter. CINECA IRIS Institutial research information system (University of Pisa). 2440–2445. 3 indexed citations

18.

Baronti, Federico, et al.. (2018). Open and Flexible Li-ion Battery Tester Based on Python Language and Raspberry Pi. Electronics. 7(12). 454–454. 7 indexed citations

19.

Rienzo, Roberto Di, et al.. (2017). Tuning of Moving Window Least Squares-based algorithm for online battery parameter estimation. CINECA IRIS Institutial research information system (University of Pisa). 1–4. 3 indexed citations

20.

Zamboni, Walter, Federico Baronti, Roberto Di Rienzo, et al.. (2015). Comparison of state and parameter estimators for electric vehicle batteries. CINECA IRIS Institutial research information system (University of Pisa). 5433–5438. 11 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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