Loredana Cristaldi

2.9k total citations
174 papers, 2.3k citations indexed

About

Loredana Cristaldi is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Loredana Cristaldi has authored 174 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Electrical and Electronic Engineering, 53 papers in Control and Systems Engineering and 44 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Loredana Cristaldi's work include Photovoltaic System Optimization Techniques (40 papers), Machine Fault Diagnosis Techniques (27 papers) and Solar Radiation and Photovoltaics (26 papers). Loredana Cristaldi is often cited by papers focused on Photovoltaic System Optimization Techniques (40 papers), Machine Fault Diagnosis Techniques (27 papers) and Solar Radiation and Photovoltaics (26 papers). Loredana Cristaldi collaborates with scholars based in Italy, United States and Germany. Loredana Cristaldi's co-authors include Alessandro Ferrero, Marco Faifer, M. Lazzaroni, Marco Rossi, Sergio Toscani, Ferdinanda Ponci, Roberto Ottoboni, Simona Salicone, Marcantonio Catelani and Antonello Monti and has published in prestigious journals such as Sensors, Solar Energy and IEEE Transactions on Industry Applications.

In The Last Decade

Loredana Cristaldi

163 papers receiving 2.2k citations

Peers

Loredana Cristaldi

EEE

RESE

CSE

Marcantonio Catelani Italy

Tao Peng China

Rachid Outbib France

M. Lazzaroni Italy

Muhyaddin Rawa Saudi Arabia

Om Prakash Mahela India

Xiaodong Liang Canada

M. Sami Fadali United States

Haidar Samet Iran

Suttichai Premrudeepreechacharn Thailand

Marcantonio Catelani Italy

Loredana Cristaldi

1.2k ×0.8

EEE

337 ×0.5

RESE

646 ×1.1

CSE

269 ×0.5

258 ×1.1

Citations per year, relative to Loredana Cristaldi Loredana Cristaldi (= 1×) peers Marcantonio Catelani

Countries citing papers authored by Loredana Cristaldi

Since Specialization

Citations

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

Fields of papers citing papers by Loredana Cristaldi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Loredana Cristaldi

This figure shows the co-authorship network connecting the top 25 collaborators of Loredana Cristaldi. A scholar is included among the top collaborators of Loredana Cristaldi 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 Loredana Cristaldi. Loredana Cristaldi 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

Esmaili, Parisa, et al.. (2025). Cycle-Informed Triaxial Sensor for Smart and Sustainable Manufacturing. Sensors. 25(14). 4431–4431.

Cristaldi, Loredana, et al.. (2024). Model-Based Algorithm for Flexible Power Point Tracking for Photovoltaic Participation in Primary Frequency Regulation. Energies. 17(9). 2049–2049. 2 indexed citations

Cristaldi, Loredana, et al.. (2024). A Transfer Learning Approach for Remaining Useful Life Estimation of Lithium-Ion Batteries. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 557–561.

Patrizi, Gabriele, et al.. (2024). A Review of Degradation Models and Remaining Useful Life Prediction for Testing Design and Predictive Maintenance of Lithium-Ion Batteries. Sensors. 24(11). 3382–3382. 9 indexed citations

Esmaili, Parisa & Loredana Cristaldi. (2024). Health Indicator Effectiveness in Localized Fault Diagnosis: rolling bearing elements. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 552–556.

Esmaili, Parisa, et al.. (2024). A Convolutional Neural Network for CNC Milling Machines Processes Classification. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 634–639. 3 indexed citations

Cristaldi, Loredana, et al.. (2024). Domain Adversarial Neural Networks for Remaining Useful Life Estimation of Lithium-Ion Batteries. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 640–645. 1 indexed citations

Barcellona, Simone, et al.. (2024). Temperature-Dependent State of Charge Estimation for Electric Vehicles Based on a Machine Learning Approach. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 646–651.

Cristaldi, Loredana, et al.. (2023). Comparing Machine Learning Strategies for SoH Estimation of Lithium-Ion Batteries Using a Feature-Based Approach. Energies. 16(11). 4423–4423. 15 indexed citations

10.

Cristaldi, Loredana, et al.. (2023). State of Health Estimation Procedure for Lithium-Ion Batteries Using Partial Discharge Data and Support Vector Regression. Energies. 17(1). 206–206. 7 indexed citations

11.

Cristaldi, Loredana, et al.. (2023). Lithium-ion batteries soh estimation, based on support-vector regression and a feature-based approach. 109–113. 5 indexed citations

12.

Cristaldi, Loredana, et al.. (2020). A Possibilistic Approach for Uncertainty Representation and Propagation in Similarity-Based Prognostic Health Management Solutions. Open Journal of Statistics. 10(6). 1020–1038. 1 indexed citations

13.

Martirano, Luigi, et al.. (2019). Assessment for a Distributed Monitoring System for Industrial and Commercial Applications. IEEE Transactions on Industry Applications. 55(6). 7320–7327. 6 indexed citations

14.

Cristaldi, Loredana, et al.. (2016). Reliability assessment of photovoltaic balance of system. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 242–247. 3 indexed citations

15.

Lazzaroni, M., et al.. (2012). Reliability Engineering : Basic Concepts and Applications in ICT. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 28 indexed citations

16.

Cristaldi, Loredana, Marco Faifer, Marco Rossi, & Sergio Toscani. (2012). A simplified model of photovoltaic panel. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 431–436. 22 indexed citations

17.

Monti, Antonello, et al.. (2007). A Virtual Instrument for Time-Frequency Analysis of Park Power Components. 13(1). 121–128. 1 indexed citations

18.

Cristaldi, Loredana, Alessandro Ferrero, M. Lazzaroni, & Roberto Ottoboni. (2001). A linearization method for commercial Hall-effect current transducers. IEEE Transactions on Instrumentation and Measurement. 50(5). 1149–1153. 62 indexed citations

19.

Cristaldi, Loredana & Alessandro Ferrero. (1995). A method and related digital instrument for the measurement of the electric power quality. IEEE Transactions on Power Delivery. 10(3). 1183–1189. 28 indexed citations

20.

Cristaldi, Loredana, Alessandro Ferrero, & Gabrio Superti-Furga. (1994). Current decomposition in asymmetrical, unbalanced three-phase systems under nonsinusoidal conditions. IEEE Transactions on Instrumentation and Measurement. 43(1). 63–68. 15 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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