Graziana Cavone
- Industrial and Manufacturing Engineering top 1%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 5%
- Building and Construction top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Mariagrazia DotoliRaffaele CarliNicola EpicocoCarla SeatzuPaolo ScarabaggioAnna Maria Lucia LanzollaG. AndriaFilippo Attivissimo
- Topics
- Railway Systems and Energy Efficiency (8 papers)Advanced Manufacturing and Logistics Optimization (7 papers)Sensor Technology and Measurement Systems (7 papers)
- Journals
- SensorsIEEE Transactions on Industry ApplicationsIEEE Transactions on Intelligent Transportation Systems
- Partner nations
- ItalyNetherlandsFrance
In The Last Decade
Graziana Cavone
72 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 117
- Industrial and Manufacturing Engineering 326
- Electrical and Electronic Engineering 277
- Control and Systems Engineering 264
- Building and Construction 167
- Computer Vision and Pattern Recognition 127
Countries citing papers authored by Graziana Cavone
This map shows the geographic impact of Graziana Cavone'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 Graziana Cavone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Graziana Cavone more than expected).
Fields of papers citing papers by Graziana Cavone
This network shows the impact of papers produced by Graziana Cavone. 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 Graziana Cavone. The network helps show where Graziana Cavone may publish in the future.
Co-authorship network of co-authors of Graziana Cavone
This figure shows the co-authorship network connecting the top 25 collaborators of Graziana Cavone. A scholar is included among the top collaborators of Graziana Cavone 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 Graziana Cavone. Graziana Cavone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 27 | |
| 10 | 1 | |
| 11 | 11 | |
| 12 | 12 | |
| 13 | 31 | |
| 14 | 27 | |
| 15 | 16 | |
| 16 | 16 | |
| 17 | 41 | |
| 18 | 53 | |
| 19 | 3 | |
| 20 | 24 |
About Graziana Cavone
Graziana Cavone is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Control and Systems Engineering, having authored 81 papers that have together received 1.2k indexed citations. Recurring topics across this work include Railway Systems and Energy Efficiency (8 papers), Advanced Manufacturing and Logistics Optimization (7 papers) and Sensor Technology and Measurement Systems (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (326 citations), Modeling and Simulation (76 citations) and Building and Construction (167 citations). Graziana Cavone has collaborated with scholars based in Italy, Netherlands and France. Frequent co-authors include Mariagrazia Dotoli, Raffaele Carli, Nicola Epicoco, Carla Seatzu, Paolo Scarabaggio, Anna Maria Lucia Lanzolla, G. Andria, Filippo Attivissimo, Sarah Ben Othman and Bart De Schutter. Their work appears in journals such as Sensors, IEEE Transactions on Industry Applications and IEEE Transactions on Intelligent Transportation 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.