Grazia Lo Sciuto

1.6k total citations
83 papers, 1.1k citations indexed

About

Grazia Lo Sciuto is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Grazia Lo Sciuto has authored 83 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Electrical and Electronic Engineering, 24 papers in Biomedical Engineering and 17 papers in Mechanical Engineering. Recurrent topics in Grazia Lo Sciuto's work include Vibration Control and Rheological Fluids (7 papers), Wireless Power Transfer Systems (6 papers) and Energy Load and Power Forecasting (6 papers). Grazia Lo Sciuto is often cited by papers focused on Vibration Control and Rheological Fluids (7 papers), Wireless Power Transfer Systems (6 papers) and Energy Load and Power Forecasting (6 papers). Grazia Lo Sciuto collaborates with scholars based in Italy, Poland and Israel. Grazia Lo Sciuto's co-authors include Giacomo Capizzi, Christian Napoli, Marcin Woźniak, Emiliano Tramontana, Francesco Beritelli, Dawid Połap, Bernd Diekkrüger, Luigi Fortuna, Mattia Frasca and Arturo Buscarino and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and Journal of Hydrology.

In The Last Decade

Grazia Lo Sciuto

80 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Grazia Lo Sciuto Italy 18 236 178 173 121 106 83 1.1k
S. Sachin Kumar India 17 297 1.3× 219 1.2× 155 0.9× 71 0.6× 175 1.7× 96 1.1k
Óscar Fontenla-Romero Spain 19 119 0.5× 483 2.7× 119 0.7× 96 0.8× 106 1.0× 73 1.3k
Noriyasu Homma Japan 14 188 0.8× 567 3.2× 236 1.4× 232 1.9× 135 1.3× 115 1.5k
Giacomo Capizzi Italy 20 522 2.2× 442 2.5× 70 0.4× 131 1.1× 141 1.3× 85 1.4k
Simon Y. Foo United States 20 418 1.8× 469 2.6× 164 0.9× 87 0.7× 166 1.6× 86 1.4k
Brian C. Van Essen United States 6 144 0.6× 340 1.9× 120 0.7× 82 0.7× 283 2.7× 10 1.2k
Bertha Guijarro‐Berdiñas Spain 17 92 0.4× 415 2.3× 96 0.6× 105 0.9× 134 1.3× 69 971
Qi Sun China 22 304 1.3× 283 1.6× 66 0.4× 56 0.5× 280 2.6× 131 1.3k
Stefan Westberg United States 3 130 0.6× 334 1.9× 79 0.5× 81 0.7× 282 2.7× 6 1.2k
Shun Chen China 9 203 0.9× 452 2.5× 82 0.5× 111 0.9× 155 1.5× 14 1.2k

Countries citing papers authored by Grazia Lo Sciuto

Since Specialization
Citations

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

Fields of papers citing papers by Grazia Lo Sciuto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Grazia Lo Sciuto. 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 Grazia Lo Sciuto. The network helps show where Grazia Lo Sciuto may publish in the future.

Co-authorship network of co-authors of Grazia Lo Sciuto

This figure shows the co-authorship network connecting the top 25 collaborators of Grazia Lo Sciuto. A scholar is included among the top collaborators of Grazia Lo Sciuto 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 Grazia Lo Sciuto. Grazia Lo Sciuto 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.
Sciuto, Grazia Lo, et al.. (2025). Magnetorheological fluid magnetic spring harvester design and characterization. Advances in Science and Technology – Research Journal. 19(5). 128–141. 1 indexed citations
2.
Capizzi, Giacomo, et al.. (2024). Control System Hardware Design, Analysis and Characterization of Electromagnetic Diaphragm Pump. Applied Sciences. 14(17). 8043–8043. 1 indexed citations
3.
Sciuto, Grazia Lo, et al.. (2024). Linear Actuators in a Haptic Feedback Joystick System for Electric Vehicles. Computers. 13(2). 48–48. 1 indexed citations
4.
5.
Avanzato, Roberta, Francesco Beritelli, Giacomo Capizzi, & Grazia Lo Sciuto. (2023). A new design methodology for window‐based FIR filters. Electronics Letters. 59(11). 5 indexed citations
6.
Sciuto, Grazia Lo, et al.. (2023). Design of Laboratory Stand for Displacement Measurement of IPMC Actuators. Sensors. 23(3). 1271–1271. 1 indexed citations
7.
Sciuto, Grazia Lo, et al.. (2023). Modeling and Experimental Characterization of a Clutch Control Strategy Using a Magnetorheological Fluid. Fluids. 8(5). 145–145. 2 indexed citations
8.
Nowak, Paweł, et al.. (2023). Haptic Feedback Remote Control System for Electric Mechanical Assembly Vehicle Developed to Avoid Obstacles. Journal of Intelligent & Robotic Systems. 107(3). 4 indexed citations
9.
Sciuto, Grazia Lo, et al.. (2023). Magnetic flux density analysis of magnetic spring in energy harvester by Hall-Effect sensors and 2D magnetostatic FE model. Journal of Magnetism and Magnetic Materials. 579. 170796–170796. 8 indexed citations
10.
Kowalik, Zygmunt, et al.. (2023). Intelligent Medical Velostat Pressure Sensor Mat Based on Artificial Neural Network and Arduino Embedded System. Applied System Innovation. 6(5). 84–84. 5 indexed citations
11.
Sciuto, Grazia Lo, et al.. (2023). Neural network developed for obstacle avoidance of the four wheeled electric vehicle. 14. 1–4. 2 indexed citations
12.
13.
Nocera, Francesco, et al.. (2022). Preliminary Assessment of the thermal performances of a hydroponic green roof system in a Mediterranean climate. Renewable Energy and Power Quality Journal. 20. 548–553. 2 indexed citations
14.
Sciuto, Grazia Lo, Giacomo Capizzi, Rafi Shikler, & Christian Napoli. (2021). Organic solar cells defects classification by using a new feature extraction algorithm and an EBNN with an innovative pruning algorithm. International Journal of Intelligent Systems. 36(6). 2443–2464. 17 indexed citations
15.
Capizzi, Giacomo, Grazia Lo Sciuto, Christian Napoli, Marcin Woźniak, & Gianluca Susi. (2020). A spiking neural network-based long-term prediction system for biogas production. Neural Networks. 129. 271–279. 26 indexed citations
16.
Beritelli, Francesco, Giacomo Capizzi, Grazia Lo Sciuto, Christian Napoli, & Marcin Woźniak. (2018). A novel training method to preserve generalization of RBPNN classifiers applied to ECG signals diagnosis. Neural Networks. 108. 331–338. 37 indexed citations
17.
Woźniak, Marcin, Dawid Połap, Giacomo Capizzi, et al.. (2018). Small lung nodules detection based on local variance analysis and probabilistic neural network. Computer Methods and Programs in Biomedicine. 161. 173–180. 75 indexed citations
18.
Sciuto, Grazia Lo, G. Cammarata, Giacomo Capizzi, S. Coco, & Giuseppe Petrone. (2016). Design optimization of solar chimney power plant by finite elements based numerical model and cascade neural networks. 1016–1022. 7 indexed citations
19.
Frasca, Mattia, Grazia Lo Sciuto, Arturo Buscarino, et al.. (2012). Remote synchronization in star networks. Physical Review E. 85(2). 26208–26208. 118 indexed citations
20.
Sciuto, Grazia Lo & Bernd Diekkrüger. (2010). Influence of Soil Heterogeneity and Spatial Discretization on Catchment Water Balance Modeling. Vadose Zone Journal. 9(4). 955–969. 44 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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