V. Bruno
Impact in
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- Magnetic confinement fusion research
- Control and Systems Engineering top 10%
- Robot Manipulation and Learning
- Robotic Mechanisms and Dynamics
Papers in
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- Magnetic confinement fusion research 14
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- Superconducting Materials and Applications 6
- Co-authors
- L. Gargiulo (11 shared papers)Y. Perrot (6 shared papers)P. Bayetti (5 shared papers)Hansheng Feng (5 shared papers)Yvan Measson (5 shared papers)Yong Cheng (6 shared papers)E. Villedieu (6 shared papers)Shanshuang Shi (4 shared papers)
In The Last Decade
V. Bruno
19 papers receiving 255 citations
Peers
Comparison fields: 5 of 38
- Nuclear and High Energy Physics 80
- Control and Systems Engineering 73
- Mechanical Engineering 82
- Aerospace Engineering 51
- Biomedical Engineering 88
Countries citing papers authored by V. Bruno
This map shows the geographic impact of V. Bruno'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 V. Bruno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Bruno more than expected).
Fields of papers citing papers by V. Bruno
This network shows the impact of papers produced by V. Bruno. 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 V. Bruno. The network helps show where V. Bruno may publish in the future.
Co-authors
The 25 scholars most cited alongside V. Bruno, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 55 | |
| 2 | 2016 | 43 | |
| 3 | 2015 | 20 | |
| 4 | 2008 | 19 | |
| 5 | 2009 | 17 | |
| 6 | 2015 | 15 | |
| 7 | 2013 | 13 | |
| 8 | 2008 | 11 | |
| 9 | 2015 | 9 | |
| 10 | 2024 | 8 | |
| 11 | 2018 | 8 | |
| 12 | 2017 | 7 | |
| 13 | 2010 | 6 | |
| 14 | 2010 | 6 | |
| 15 | 2017 | 5 | |
| 16 | 2008 | 5 | |
| 17 | 2018 | 5 | |
| 18 | 2016 | 4 | |
| 19 | 2019 | 2 | |
| 20 | 超親水性graphene/multi層カーボンナノチューブの高負荷を有するPDLLAハニカム状足場は骨芽細胞のin vitroでの機能を促進し,in vivoでの骨再生を誘導【Powered by NICT】 | 2017 | 0 |
About V. Bruno
V. Bruno is a scholar working on Nuclear and High Energy Physics, Biomedical Engineering, Materials Chemistry, Aerospace Engineering and Mechanical Engineering, having authored 21 papers that have together received 258 indexed citations. Recurring topics across this work include Magnetic confinement fusion research (14 papers), Fusion materials and technologies (7 papers), Superconducting Materials and Applications (6 papers), Nuclear Materials and Properties (2 papers), Asian Geopolitics and Ethnography (2 papers), Plasma Diagnostics and Applications (2 papers), Electromagnetic Launch and Propulsion Technology (2 papers) and Power Line Inspection Robots (2 papers). The work is most often cited by research in Nuclear and High Energy Physics (80 citations), Control and Systems Engineering (73 citations), Mechanical Engineering (82 citations), Aerospace Engineering (51 citations) and Biomedical Engineering (88 citations). V. Bruno has collaborated with scholars based in France, China and Finland. Frequent co-authors include L. Gargiulo, Y. Perrot, P. Bayetti, Hansheng Feng, Yvan Measson, Yong Cheng, E. Villedieu, Shanshuang Shi, Yuntao Song and Jean-Pierre Martins. Their work appears in journals such as Fusion Engineering and Design, Materials Science and Engineering C, Journal of Fusion Energy, Tribology International and Physica Scripta.
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.