Vito Introna

1.2k total citations · 1 hit paper
41 papers, 862 citations indexed

About

Vito Introna is a scholar working on Renewable Energy, Sustainability and the Environment, Building and Construction and Industrial and Manufacturing Engineering. According to data from OpenAlex, Vito Introna has authored 41 papers receiving a total of 862 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Renewable Energy, Sustainability and the Environment, 13 papers in Building and Construction and 12 papers in Industrial and Manufacturing Engineering. Recurrent topics in Vito Introna's work include Energy Efficiency and Management (21 papers), Building Energy and Comfort Optimization (11 papers) and Flexible and Reconfigurable Manufacturing Systems (7 papers). Vito Introna is often cited by papers focused on Energy Efficiency and Management (21 papers), Building Energy and Comfort Optimization (11 papers) and Flexible and Reconfigurable Manufacturing Systems (7 papers). Vito Introna collaborates with scholars based in Italy, United Kingdom and United States. Vito Introna's co-authors include Vittorio Cesarotti, Miriam Benedetti, Annalisa Santolamazza, Antonio Forcina, Luca Silvestri, Stefano Ubertini, Mauro Villarini, Alessandro Silvestri, Maria Holgado and Marco Macchi and has published in prestigious journals such as Journal of Cleaner Production, Applied Energy and Energy Conversion and Management.

In The Last Decade

Vito Introna

40 papers receiving 833 citations

Hit Papers

Maintenance transformation through Industry 4.0 technolog... 2020 2026 2022 2024 2020 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vito Introna Italy 15 276 227 216 156 130 41 862
Vittorio Cesarotti Italy 12 177 0.6× 221 1.0× 148 0.7× 117 0.8× 132 1.0× 31 732
Ken Bruton Ireland 17 117 0.4× 400 1.8× 240 1.1× 209 1.3× 72 0.6× 50 1.2k
Zeyi Sun United States 17 370 1.3× 332 1.5× 101 0.5× 383 2.5× 102 0.8× 65 990
Gökan May United States 16 365 1.3× 950 4.2× 145 0.7× 111 0.7× 298 2.3× 42 1.6k
Jiangwei Chu China 17 116 0.4× 345 1.5× 114 0.5× 115 0.7× 296 2.3× 60 1.1k
Shuaiyin Ma China 16 198 0.7× 477 2.1× 49 0.2× 154 1.0× 198 1.5× 25 1.0k
Roberto Gabbrielli Italy 20 244 0.9× 119 0.5× 63 0.3× 108 0.7× 108 0.8× 72 1.3k
Concetta Semeraro United Arab Emirates 15 109 0.4× 521 2.3× 69 0.3× 244 1.6× 55 0.4× 32 1.1k

Countries citing papers authored by Vito Introna

Since Specialization
Citations

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

Fields of papers citing papers by Vito Introna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vito Introna

This figure shows the co-authorship network connecting the top 25 collaborators of Vito Introna. A scholar is included among the top collaborators of Vito Introna 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 Vito Introna. Vito Introna 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.
Introna, Vito, Annalisa Santolamazza, & Vittorio Cesarotti. (2024). Integrating Industry 4.0 and 5.0 Innovations for Enhanced Energy Management Systems. Energies. 17(5). 1222–1222. 12 indexed citations
2.
Introna, Vito & Annalisa Santolamazza. (2024). Strategic maintenance planning in the digital era: a hybrid approach merging Reliability-Centered Maintenance with digitalization opportunities. Operations Management Research. 17(4). 1397–1420. 5 indexed citations
3.
Santolamazza, Annalisa, et al.. (2023). The Evolution of Energy Management Maturity in Organizations Subject to Mandatory Energy Audits: Findings from Italy. Energies. 16(9). 3742–3742. 3 indexed citations
5.
Introna, Vito, et al.. (2022). Private Hospital Energy Performance Benchmarking Using Energy Audit Data: An Italian Case Study. Energies. 15(3). 806–806. 9 indexed citations
6.
Santolamazza, Annalisa, et al.. (2021). A Data-Mining Approach for Wind Turbine Fault Detection Based on SCADA Data Analysis Using Artificial Neural Networks. Energies. 14(7). 1845–1845. 47 indexed citations
7.
8.
Silvestri, Luca, Antonio Forcina, Vito Introna, Annalisa Santolamazza, & Vittorio Cesarotti. (2020). Maintenance transformation through Industry 4.0 technologies: A systematic literature review. Computers in Industry. 123. 103335–103335. 190 indexed citations breakdown →
9.
Santolamazza, Annalisa, Vito Introna, Vittorio Cesarotti, & Miriam Benedetti. (2019). A simulation approach for evaluating the impact of human behaviour on project scheduling. 7(3). 2 indexed citations
10.
Cesarotti, Vittorio, et al.. (2019). The evolution of Project Management (PM): How Agile, Lean and Six Sigma are changing PM. 7(3). 10 indexed citations
11.
Benedetti, Miriam, et al.. (2019). Real Time Energy Performance Control for Industrial Compressed Air Systems: Methodology and Applications. Energies. 12(20). 3935–3935. 27 indexed citations
13.
Holgado, Maria, Miriam Benedetti, Stuart Evans, & Vito Introna. (2016). Contextualisation in industrial energy symbiosis: Design process for a knowledge repository. Cineca Institutional Research Information System (Tor Vergata University). 2 indexed citations
14.
Benedetti, Miriam, Alice Rondini, Vito Introna, Vittorio Cesarotti, & Sergio Cavalieri. (2016). Service Engineering Methodology and Energy Services: Applicability Analysis and Case Study. Procedia CIRP. 47. 358–363. 2 indexed citations
15.
Benedetti, Miriam, et al.. (2014). Using simulation to study the influence of Overall Equipment Effectiveness on energy consumption of a single production machine. Cineca Institutional Research Information System (Tor Vergata University). 1 indexed citations
16.
Cesarotti, Vittorio, et al.. (2014). Designing Multichannel Value Propositions to Enhance Value-Cocreation Phenomenon. International Journal of Service Science Management Engineering and Technology. 5(1). 14–44. 6 indexed citations
17.
Introna, Vito, et al.. (2013). An empirical approach to investigate the relationship between Overall Equipment Effectiveness and Energy consumptions: an application in the manufacturing field. Cineca Institutional Research Information System (Tor Vergata University). 1 indexed citations
18.
Cesarotti, Vittorio, et al.. (2011). Increasing Availability of Production Flow Lines Through Optimal Buffer Sizing: a Simulative Study. Cineca Institutional Research Information System (Tor Vergata University). 423–432. 2 indexed citations
19.
Cesarotti, Vittorio, et al.. (2008). Evaluation and optimisation of manufacturing system using simulation modelling and design of experiment. Cineca Institutional Research Information System (Tor Vergata University). 224–230.
20.
Pinto, Roberto, Alessandro Brun, Vito Introna, et al.. (2004). After-Sales service and network configuration strategies: a preliminary profiling and assessment of determinants. Aisberg (University of Bergamo). 171–179. 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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