Roberto Nardone
Impact in
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- Railway Systems and Energy Efficiency
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- Transportation Systems and Safety
Papers in
- Software 20
- Model-Driven Software Engineering Techniques 15
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- Transportation Systems and Safety 10
- Co-authors
- Valeria Vittorini (37 shared papers)Francesco Flammini (19 shared papers)S. Marrone (40 shared papers)Stefania Santini (3 shared papers)Nicola Mazzocca (24 shared papers)Marco Di Vaio (1 shared paper)Luigi Coppolino (11 shared papers)Stefano Marrone (6 shared papers)
In The Last Decade
Roberto Nardone
73 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 63
- Industrial and Manufacturing Engineering 315
- Computer Graphics and Computer-Aided Design 106
- Software 104
- Control and Systems Engineering 238
- Safety, Risk, Reliability and Quality 95
Countries citing papers authored by Roberto Nardone
This map shows the geographic impact of Roberto Nardone'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 Roberto Nardone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Nardone more than expected).
Fields of papers citing papers by Roberto Nardone
This network shows the impact of papers produced by Roberto Nardone. 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 Roberto Nardone. The network helps show where Roberto Nardone may publish in the future.
Co-authors
The 25 scholars most cited alongside Roberto Nardone, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 161 | |
| 2 | 2018 | 81 | |
| 3 | 2021 | 81 | |
| 4 | 2020 | 78 | |
| 5 | 2021 | 61 | |
| 6 | 2013 | 56 | |
| 7 | 2020 | 36 | |
| 8 | 2013 | 34 | |
| 9 | 2015 | 34 | |
| 10 | 2016 | 29 | |
| 11 | 2020 | 24 | |
| 12 | 2022 | 24 | |
| 13 | 2013 | 23 | |
| 14 | 2020 | 23 | |
| 15 | 2023 | 22 | |
| 16 | 2021 | 21 | |
| 17 | 2014 | 18 | |
| 18 | 2016 | 17 | |
| 19 | 2016 | 17 | |
| 20 | 2020 | 17 |
About Roberto Nardone
Roberto Nardone is a scholar working on Software, Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics, Safety, Risk, Reliability and Quality and Industrial and Manufacturing Engineering, having authored 80 papers that have together received 1.2k indexed citations. Recurring topics across this work include Model-Driven Software Engineering Techniques (15 papers), Formal Methods in Verification (13 papers), Transportation Systems and Safety (10 papers), Railway Systems and Energy Efficiency (10 papers), Safety Systems Engineering in Autonomy (10 papers), Blockchain Technology Applications and Security (7 papers), Infrastructure Resilience and Vulnerability Analysis (6 papers) and Information and Cyber Security (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (315 citations), Computer Graphics and Computer-Aided Design (106 citations), Software (104 citations), Control and Systems Engineering (238 citations) and Safety, Risk, Reliability and Quality (95 citations). Roberto Nardone has collaborated with scholars based in Italy, Sweden and Spain. Frequent co-authors include Valeria Vittorini, Francesco Flammini, S. Marrone, Stefania Santini, Nicola Mazzocca, Marco Di Vaio, Luigi Coppolino, Stefano Marrone, Ricardo J. Rodríguez and Francesco Buccafurri. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Journal of Systems and Software, Software & Systems Modeling, IEEE Access and Future Generation Computer Systems.
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.