V. Dao
Impact in
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- Particle physics theoretical and experimental studies
- Particle Detector Development and Performance
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Dark Matter and Cosmic Phenomena
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- Advanced Battery Technologies Research
Papers in ⓘ
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- Particle Detector Development and Performance 3
- Particle physics theoretical and experimental studies 2
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- Advanced MEMS and NEMS Technologies 1
- Advanced Battery Materials and Technologies 1
- Advancements in Battery Materials 1
- Co-authors
- R. Zaidan (1 shared paper)Yang Kong (1 shared paper)M. Ghneimat (1 shared paper)K. Mochizuki (1 shared paper)F. A. Di Bello (1 shared paper)M. Battaglia (1 shared paper)A. Miucci (1 shared paper)G. Gilles (1 shared paper)
- Journals
- Journal of Instrumentation (1 paper)Journal of High Energy Physics (1 paper)Fuel (1 paper)arXiv (Cornell University) (1 paper)CERN Document Server (European Organization for Nuclear Research) (1 paper)
- Partner nations
- VietnamSwitzerlandSouth Korea
In The Last Decade
V. Dao
4 papers receiving 25 citations
Peers
Comparison fields: 5 of 21
- Nuclear and High Energy Physics 15
- Automotive Engineering 4
- Safety, Risk, Reliability and Quality 3
- Statistical and Nonlinear Physics 2
- Hardware and Architecture 1
Countries citing papers authored by V. Dao
This map shows the geographic impact of V. Dao'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. Dao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Dao more than expected).
Fields of papers citing papers by V. Dao
This network shows the impact of papers produced by V. Dao. 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. Dao. The network helps show where V. Dao may publish in the future.
Co-authors
The 25 scholars most cited alongside V. Dao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Optimisation of the ATLAS $b$-tagging performance for the 2016 LHC Run | 2016 | 13 |
| 2 | 2024 | 6 | |
| 3 | 2024 | 5 | |
| 4 | 2021 | 1 | |
| 5 | 2025 | 0 | |
| 6 | 2023 | 0 | |
| 7 | 2024 | 0 |
About V. Dao
V. Dao is a scholar working on Nuclear and High Energy Physics, Electrical and Electronic Engineering, Computer Networks and Communications, Automotive Engineering and Computer Vision and Pattern Recognition, having authored 7 papers that have together received 25 indexed citations. Recurring topics across this work include Particle Detector Development and Performance (3 papers), Particle physics theoretical and experimental studies (2 papers), Advanced MEMS and NEMS Technologies (1 paper), Advanced Battery Materials and Technologies (1 paper), Hand Gesture Recognition Systems (1 paper), Advanced Battery Technologies Research (1 paper), Distributed and Parallel Computing Systems (1 paper) and Advancements in Battery Materials (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (15 citations), Automotive Engineering (4 citations), Safety, Risk, Reliability and Quality (3 citations), Statistical and Nonlinear Physics (2 citations) and Hardware and Architecture (1 citation). V. Dao has collaborated with scholars based in Vietnam, Switzerland and South Korea. Frequent co-authors include R. Zaidan, Yang Kong, M. Ghneimat, K. Mochizuki, F. A. Di Bello, M. Battaglia, A. Miucci, G. Gilles, R. El Kosseifi and Y. Coadou. Their work appears in journals such as Journal of Instrumentation, Journal of High Energy Physics, Fuel, arXiv (Cornell University) and CERN Document Server (European Organization for Nuclear Research).
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.