C. Visone

2.7k total citations
112 papers, 2.0k citations indexed

About

C. Visone is a scholar working on Electronic, Optical and Magnetic Materials, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, C. Visone has authored 112 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Electronic, Optical and Magnetic Materials, 49 papers in Electrical and Electronic Engineering and 44 papers in Control and Systems Engineering. Recurrent topics in C. Visone's work include Magnetic Properties and Applications (69 papers), Piezoelectric Actuators and Control (42 papers) and Shape Memory Alloy Transformations (21 papers). C. Visone is often cited by papers focused on Magnetic Properties and Applications (69 papers), Piezoelectric Actuators and Control (42 papers) and Shape Memory Alloy Transformations (21 papers). C. Visone collaborates with scholars based in Italy, Egypt and United States. C. Visone's co-authors include Daniele Davino, C. Serpico, Alessandro Giustiniani, Ciro Natale, Salvatore Pirozzi, A.A. Adly, F. Velardi, Giuseppe Milano, Alberto Cavallo and Mårten Sjöström and has published in prestigious journals such as Journal of Applied Physics, IEEE Transactions on Industrial Electronics and Journal of Lightwave Technology.

In The Last Decade

C. Visone

109 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Visone Italy 26 1.1k 810 790 587 412 112 2.0k
Daisuke Miyagi Japan 26 809 0.7× 375 0.5× 1.2k 1.6× 585 1.0× 135 0.3× 159 2.1k
T.S. Low Singapore 25 332 0.3× 945 1.2× 1.0k 1.3× 420 0.7× 238 0.6× 144 2.0k
Laurent Daniel France 27 1.6k 1.5× 105 0.1× 623 0.8× 1.2k 2.0× 500 1.2× 144 2.3k
Young‐Hee Han South Korea 22 278 0.3× 296 0.4× 819 1.0× 169 0.3× 248 0.6× 95 1.6k
Jun‐Hyuk Choi South Korea 19 399 0.4× 186 0.2× 911 1.2× 108 0.2× 293 0.7× 130 1.5k
Han Yan China 21 204 0.2× 195 0.2× 736 0.9× 304 0.5× 496 1.2× 96 2.0k
Fuchang Lin China 24 186 0.2× 315 0.4× 1.1k 1.4× 302 0.5× 769 1.9× 203 1.9k
Marco Ferrari Italy 22 181 0.2× 335 0.4× 1.9k 2.4× 1.8k 3.1× 160 0.4× 133 2.8k
Paavo Rasilo Finland 20 946 0.9× 302 0.4× 852 1.1× 750 1.3× 57 0.1× 144 1.3k

Countries citing papers authored by C. Visone

Since Specialization
Citations

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

Fields of papers citing papers by C. Visone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Visone

This figure shows the co-authorship network connecting the top 25 collaborators of C. Visone. A scholar is included among the top collaborators of C. Visone 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 C. Visone. C. Visone 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.
2.
Klein, Olaf, Daniele Davino, & C. Visone. (2020). On forward and inverse uncertainty quantification for models involving hysteresis operators. Mathematical Modelling of Natural Phenomena. 15. 53–53. 1 indexed citations
3.
Davino, Daniele, et al.. (2020). Analysis and Modeling of a passive force sensor based on Villari effect. Mathematics and Computers in Simulation. 183. 234–243. 11 indexed citations
4.
Davino, Daniele, et al.. (2018). Self-Sensing Estimation of Mechanical Stress in Magnetostrictive Actuators. IEEE Transactions on Magnetics. 55(1). 1–5. 13 indexed citations
5.
Davino, Daniele, et al.. (2017). Experimental evaluation of external and built-in stress in Galfenol rods. Physica B Condensed Matter. 549. 53–57. 7 indexed citations
6.
Filograno, Massimo L., Marco Pisco, Ernesto Forte, et al.. (2017). Triaxial Fiber Optic Magnetic Field Sensor for Magnetic Resonance Imaging. Journal of Lightwave Technology. 35(18). 3924–3933. 34 indexed citations
7.
Davino, Daniele, Pavel Krejčı́, Alexander Pimenov, Дмитрий Рачинский, & C. Visone. (2016). Analysis of an operator-differential model for magnetostrictive energy harvesting. Open MIND. 1 indexed citations
8.
Davino, Daniele, et al.. (2016). A Magnetostrictive Energy Harvesting System for Bridge Structural Health Monitoring. Advances in science and technology. 101. 20–25. 10 indexed citations
9.
Caponero, M., et al.. (2016). FBG-Galfenol Integrated Magnetic Field Sensors for Harsh Environments. Advances in science and technology. 101. 9–14. 4 indexed citations
10.
Davino, Daniele, et al.. (2015). Dynamic monitoring of guardrails: Approach to a low-cost system. 78. 56–60. 4 indexed citations
11.
Davino, Daniele, Pavel Krejčı́, & C. Visone. (2013). Fully coupled modeling of magneto-mechanical hysteresis through ‘thermodynamic’ compatibility. Smart Materials and Structures. 22(9). 95009–95009. 29 indexed citations
12.
Davino, Daniele, Alessandro Giustiniani, C. Visone, & A.A. Adly. (2012). Energy Harvesting Tests With Galfenol at Variable Magneto-Mechanical Conditions. IEEE Transactions on Magnetics. 48(11). 3096–3099. 29 indexed citations
13.
Davino, Daniele, Alessandro Giustiniani, Luigi Iannelli, & C. Visone. (2012). Comparison of real-time control strategies with hysteresis compensation for magnetostrictive actuators. International Journal of Applied Electromagnetics and Mechanics. 39(1-4). 529–534. 7 indexed citations
14.
Davino, Daniele, Alessandro Giustiniani, & C. Visone. (2011). The piezo-magnetic parameters of Terfenol-D: An experimental viewpoint. Physica B Condensed Matter. 407(9). 1427–1432. 31 indexed citations
15.
Davino, Daniele, Alessandro Giustiniani, C. Visone, & Walter Zamboni. (2010). Eddy current induced by Villari-effect in magnetostrictive energy harvesting devices. 1–1. 1 indexed citations
16.
Campopiano, Stefania, Antonello Cutolo, M. Giordano, et al.. (2007). Fiber Bragg Grating and Magnetic Shape Memory Alloy: Novel High-Sensitivity Magnetic Sensor. IEEE Sensors Journal. 7(2). 228–229. 17 indexed citations
17.
Serpico, C., M. d’Aquino, C. Visone, & Daniele Davino. (2003). A new class of Preisach-type isotropic vector model of hysteresis. Physica B Condensed Matter. 343(1-4). 117–120. 17 indexed citations
18.
Davino, Daniele, Ciro Natale, Salvatore Pirozzi, & C. Visone. (2003). Phenomenological dynamic model of a magnetostrictive actuator. Physica B Condensed Matter. 343(1-4). 112–116. 45 indexed citations
19.
Miano, Giovanni, C. Serpico, & C. Visone. (1997). Cellular networks for simulating evolution partial differential equations. IOS Press eBooks. 111–117. 2 indexed citations
20.
Giordano, Lucio, et al.. (1980). Experimental study on bromopride pharmacology in vivo. antiemetic activity, effects on intestinal transit, on bloating and on gastric ulcers; basal effects on CNS and interferences with the spontaneous motor activity.. PubMed. 21(1). 41–8. 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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