F. Petito

584 total citations
20 papers, 514 citations indexed

About

F. Petito is a scholar working on Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, F. Petito has authored 20 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Renewable Energy, Sustainability and the Environment, 15 papers in Electrical and Electronic Engineering and 4 papers in Artificial Intelligence. Recurrent topics in F. Petito's work include solar cell performance optimization (14 papers), Solar Thermal and Photovoltaic Systems (14 papers) and Photovoltaic System Optimization Techniques (11 papers). F. Petito is often cited by papers focused on solar cell performance optimization (14 papers), Solar Thermal and Photovoltaic Systems (14 papers) and Photovoltaic System Optimization Techniques (11 papers). F. Petito collaborates with scholars based in Italy, United States and Croatia. F. Petito's co-authors include C. Renno, H. C. Neitzert, Giovanni Landi, Diana D’Agostino, Francesco Minichiello, Giovanni De Feo and Salvatore Miranda and has published in prestigious journals such as Journal of Cleaner Production, Energy Conversion and Management and Energy.

In The Last Decade

F. Petito

20 papers receiving 501 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F. Petito Italy 13 405 309 149 85 63 20 514
Canan Kandilli Türkiye 11 300 0.7× 179 0.6× 63 0.4× 87 1.0× 31 0.5× 24 457
E.C. Kern United States 8 459 1.1× 314 1.0× 175 1.2× 47 0.6× 37 0.6× 22 606
Franz Baumgartner Switzerland 13 270 0.7× 366 1.2× 138 0.9× 39 0.5× 117 1.9× 58 571
Tiong‐Keat Yew Malaysia 10 280 0.7× 225 0.7× 70 0.5× 68 0.8× 13 0.2× 18 350
Amr Osama Egypt 10 299 0.7× 158 0.5× 80 0.5× 25 0.3× 48 0.8× 18 382
Giorgio Belluardo Italy 10 380 0.9× 185 0.6× 252 1.7× 18 0.2× 71 1.1× 23 514
M. Alonso-Abellá Spain 14 438 1.1× 290 0.9× 285 1.9× 15 0.2× 89 1.4× 34 627
Jim Joseph John United Arab Emirates 13 531 1.3× 302 1.0× 208 1.4× 71 0.8× 233 3.7× 52 687
Ivana Radonjić Serbia 9 301 0.7× 130 0.4× 142 1.0× 21 0.2× 63 1.0× 25 435
Lana Pantić Serbia 11 332 0.8× 136 0.4× 173 1.2× 21 0.2× 73 1.2× 24 480

Countries citing papers authored by F. Petito

Since Specialization
Citations

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

Fields of papers citing papers by F. Petito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Petito

This figure shows the co-authorship network connecting the top 25 collaborators of F. Petito. A scholar is included among the top collaborators of F. Petito 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 F. Petito. F. Petito 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.
Renno, C. & F. Petito. (2024). CPV System Optical Performance Evaluation by Means of Direct Experimental Measurement Procedure. Energies. 17(6). 1288–1288. 1 indexed citations
2.
D’Agostino, Diana, et al.. (2021). Retrofit strategies to obtain a NZEB using low enthalpy geothermal energy systems. Energy. 239. 122307–122307. 15 indexed citations
3.
Renno, C., et al.. (2021). Feasibility analysis of a CPV system sized by means of a TJ cell black-box model and applied to a livestock farm welding. JOURNAL OF MECHANICAL ENGINEERING AND SCIENCES. 15(1). 7729–7742. 1 indexed citations
4.
Renno, C., F. Petito, Diana D’Agostino, & Francesco Minichiello. (2020). Modeling of a CPV/T-ORC Combined System Adopted for an Industrial User. Energies. 13(13). 3476–3476. 15 indexed citations
5.
Renno, C. & F. Petito. (2019). Modelling of a linear focus concentrating photovoltaic and thermal system for different load scenarios of a residential user. Energy Conversion and Management. 188. 214–229. 16 indexed citations
6.
Renno, C., Giovanni Landi, F. Petito, & H. C. Neitzert. (2018). Influence of a degraded triple-junction solar cell on the CPV system performances. Energy Conversion and Management. 160. 326–340. 36 indexed citations
7.
Renno, C., et al.. (2018). Thermal Model in ANSYS for a Comparison Between two Configurations of a Concentrating Photovoltaic System. Heat Transfer Engineering. 40(11). 924–940. 6 indexed citations
8.
Renno, C. & F. Petito. (2018). Triple-junction cell temperature evaluation in a CPV system by means of a Random-Forest model. Energy Conversion and Management. 169. 124–136. 26 indexed citations
9.
Renno, C., et al.. (2018). Performance analysis of a CPV/T-DC integrated system adopted for the energy requirements of a supermarket. Applied Thermal Engineering. 149. 231–248. 23 indexed citations
10.
Renno, C., F. Petito, Giovanni Landi, & H. C. Neitzert. (2017). Experimental characterization of a concentrating photovoltaic system varying the light concentration. Energy Conversion and Management. 138. 119–130. 31 indexed citations
11.
Renno, C., et al.. (2016). ANN model for predicting the direct normal irradiance and the global radiation for a solar application to a residential building. Journal of Cleaner Production. 135. 1298–1316. 90 indexed citations
12.
Renno, C. & F. Petito. (2016). Experimental and theoretical model of a concentrating photovoltaic and thermal system. Energy Conversion and Management. 126. 516–525. 39 indexed citations
13.
Feo, Giovanni De, et al.. (2016). Life cycle assessment and economic analysis of a low concentrating photovoltaic system. Environmental Technology. 37(19). 2473–2482. 15 indexed citations
14.
Renno, C., et al.. (2015). Artificial neural network models for predicting the solar radiation as input of a concentrating photovoltaic system. Energy Conversion and Management. 106. 999–1012. 57 indexed citations
15.
Renno, C. & F. Petito. (2015). Choice model for a modular configuration of a point-focus CPV/T system. Energy and Buildings. 92. 55–66. 38 indexed citations
16.
Renno, C., Salvatore Miranda, & F. Petito. (2015). Inefficiencies analysis of a point-focus CPV∕T system. International Journal of Green Energy. 13(9). 918–929. 5 indexed citations
17.
Renno, C. & F. Petito. (2013). Energy Analysis of a Concentrating Photovoltaic Thermal (CPV/T) System. 6(2). 53–63. 6 indexed citations
18.
Renno, C. & F. Petito. (2013). Design and modeling of a concentrating photovoltaic thermal (CPV/T) system for a domestic application. Energy and Buildings. 62. 392–402. 89 indexed citations
19.
Petito, F., et al.. (1977). Thermal imaging with pyroelectric vidicons. IEEE Transactions on Electron Devices. 24(10). 1221–1228. 4 indexed citations
20.
Petito, F., et al.. (1973). Operational characteristics of the panned pyroelectric vidicon. 296–297. 1 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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