Andrea Canino

684 total citations
51 papers, 555 citations indexed

About

Andrea Canino is a scholar working on Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment and Materials Chemistry. According to data from OpenAlex, Andrea Canino has authored 51 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Electrical and Electronic Engineering, 13 papers in Renewable Energy, Sustainability and the Environment and 9 papers in Materials Chemistry. Recurrent topics in Andrea Canino's work include Silicon Carbide Semiconductor Technologies (19 papers), Semiconductor materials and devices (15 papers) and Photovoltaic System Optimization Techniques (12 papers). Andrea Canino is often cited by papers focused on Silicon Carbide Semiconductor Technologies (19 papers), Semiconductor materials and devices (15 papers) and Photovoltaic System Optimization Techniques (12 papers). Andrea Canino collaborates with scholars based in Italy, France and United States. Andrea Canino's co-authors include Francesco La Via, Massimo Camarda, Antonino La Magna, M. G. Grimaldi, Nicolò Piluso, Fabrizio Roccaforte, Filippo Giannazzo, F. Ruffino, V. Raineri and Corrado Bongiorno and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Journal of Power Sources.

In The Last Decade

Andrea Canino

47 papers receiving 528 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrea Canino Italy 13 403 195 125 114 89 51 555
Christopher E. Valdivia Canada 17 787 2.0× 140 0.7× 161 1.3× 481 4.2× 33 0.4× 87 962
Mikio Murozono Japan 13 601 1.5× 475 2.4× 28 0.2× 91 0.8× 35 0.4× 49 682
Yiying Zhu China 13 181 0.4× 221 1.1× 134 1.1× 28 0.2× 11 0.1× 56 475
L. P. Bulat Russia 12 239 0.6× 528 2.7× 29 0.2× 37 0.3× 19 0.2× 45 746
J. A. Sánchez-García Spain 13 259 0.6× 221 1.1× 58 0.5× 57 0.5× 23 0.3× 18 525
W. Lerch Germany 15 643 1.6× 178 0.9× 76 0.6× 303 2.7× 22 0.2× 74 783
V.D. Rumyantsev Russia 12 451 1.1× 111 0.6× 58 0.5× 121 1.1× 9 0.1× 61 592
Liangliang Tang China 12 217 0.5× 35 0.2× 74 0.6× 103 0.9× 16 0.2× 39 403
A. Mellor United Kingdom 17 640 1.6× 196 1.0× 201 1.6× 321 2.8× 22 0.2× 42 1.1k
D.A. Clugston Australia 6 633 1.6× 210 1.1× 105 0.8× 164 1.4× 9 0.1× 7 743

Countries citing papers authored by Andrea Canino

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Canino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Canino

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Canino. A scholar is included among the top collaborators of Andrea Canino 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 Andrea Canino. Andrea Canino 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.
Ziar, Hesan, et al.. (2024). Long-term experimental testing of phase change materials as cooling devices for photovoltaic modules. Solar Energy Materials and Solar Cells. 277. 113133–113133. 5 indexed citations
3.
Tina, Giuseppe Marco, et al.. (2023). A photovoltaic degradation evaluation method applied to bifacial modules. Solar Energy. 251. 39–50. 12 indexed citations
4.
Tina, Giuseppe Marco, et al.. (2023). Photovoltaic Module Degradation Forecast Models for Onshore and Offshore Floating Systems. Energies. 16(5). 2117–2117. 17 indexed citations
5.
Gerardi, Cosimo, et al.. (2022). 22% efficiency module combining Silicon Heterojunction Solar and Shingle interconnection. 2022 IEEE 49th Photovoltaics Specialists Conference (PVSC). 1360–1362.
6.
Canino, Andrea, et al.. (2020). Numerical Modeling of Bifacial PV String Performance: Perimeter Effect and Influence of Uniaxial Solar Trackers. Energies. 13(4). 869–869. 12 indexed citations
7.
Canino, Andrea, et al.. (2019). A new model for predicting bifacial PV modules performance: first validation results. IEEE Conference Proceedings. 2019. 1293–1297. 1 indexed citations
8.
9.
Condorelli, Guglielmo G., Wilfried Favre, A. Battaglia, et al.. (2018). High Efficiency Hetero-Junction: From Pilot Line To Industrial Production. 1970–1973. 7 indexed citations
10.
Alves, Severino, Marco Mauceri, Ruggero Anzalone, et al.. (2012). Growth and processing of heteroepitaxial 3C-SiC films for electronic devices applications. MRS Proceedings. 1433. 3 indexed citations
11.
Anzalone, Ruggero, Massimo Camarda, Giuseppe D’Arrigo, et al.. (2011). Advanced Stress Analysis by Micro-Structures Realization on High Quality Hetero-Epitaxial 3C-SiC for MEMS Application. Materials science forum. 679-680. 133–136. 2 indexed citations
12.
Anzalone, Ruggero, Massimo Camarda, Andrea Canino, et al.. (2011). Publisher’s Note: Defect Influence on Heteroepitaxial 3C-SiC Young’s Modulus [Electrochem. Solid-State Lett., 14, H161 (2011)]. Electrochemical and Solid-State Letters. 14(7). S3–S3. 5 indexed citations
13.
Camarda, Massimo, Pietro Delugas, Andrea Canino, et al.. (2010). Systematic First Principles Calculations of the Effects of Stacking Fault Defects on the 4H-SiC Band Structure. Materials science forum. 645-648. 283–286. 9 indexed citations
14.
Camarda, Massimo, Antonino La Magna, Andrea Canino, & Francesco La Via. (2010). Study of the Evolution of Basal Plane Dislocations during Epitaxial Growth: Role of the Surface Kinetics. Materials science forum. 645-648. 539–542. 8 indexed citations
15.
Canino, Andrea, Massimo Camarda, & Francesco La Via. (2010). Single Shockley Faults Enlargement during Micro-Photoluminescence Defects Mapping. Materials science forum. 645-648. 555–558. 6 indexed citations
16.
Piluso, Nicolò, Andrea Severino, Massimo Camarda, et al.. (2010). Raman Characterization of Doped 3C-SiC/Si for Different Silicon Substrates and C/Si Ratios. Materials science forum. 645-648. 255–258. 18 indexed citations
17.
Ruffino, F., Andrea Canino, M. G. Grimaldi, et al.. (2007). Self-organization of gold nanoclusters on hexagonal SiC and SiO2 surfaces. Journal of Applied Physics. 101(6). 61 indexed citations
18.
Irrera, Alessia, F. Iacona, I. Crupi, et al.. (2006). Electroluminescence and transport properties in amorphous silicon nanostructures. Nanotechnology. 17(5). 1428–1436. 58 indexed citations
19.
Irrera, Alessia, G. Franzò, F. Iacona, et al.. (2006). Light emitting devices based on silicon nanostructures. Physica E Low-dimensional Systems and Nanostructures. 38(1-2). 181–187. 34 indexed citations
20.
Galli, Mattéo, Dario Gerace, Alberto Politi, et al.. (2006). Direct evidence of light confinement and emission enhancement in active silicon-on-insulator slot waveguides. Applied Physics Letters. 89(24). 50 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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