M.T. Vu
Impact in
- Environmental Engineering top 5%
- Hydrological Forecasting Using AI
- Groundwater flow and contamination studies
- Ocean Engineering top 5%
- Geophysical Methods and Applications
- Enhanced Oil Recovery Techniques
Papers in
-
- Groundwater flow and contamination studies 10
- Hydrological Forecasting Using AI 4
-
- Geophysical Methods and Applications 4
- Co-authors
- Abderrahim Jardani (13 shared papers)Nicolas Masséi (4 shared papers)Matthieu Fournier (2 shared papers)P. M. Adler (2 shared papers)S. Békri (1 shared paper)P. M. Adler (1 shared paper)M. Krimissa (3 shared papers)Benoı̂t Laignel (1 shared paper)
- Journals
- Journal of Hydrology (6 papers)Advances in Water Resources (2 papers)Geophysical Journal International (2 papers)The Science of The Total Environment (2 papers)Hydrological Sciences Journal (1 paper)
- Partner nations
- FranceVietnamUnited States
In The Last Decade
M.T. Vu
16 papers receiving 317 citations
Peers
Comparison fields: 5 of 55
- Environmental Engineering 191
- Ocean Engineering 122
- Geophysics 87
- Water Science and Technology 83
- Global and Planetary Change 56
Countries citing papers authored by M.T. Vu
This map shows the geographic impact of M.T. Vu'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 M.T. Vu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.T. Vu more than expected).
Fields of papers citing papers by M.T. Vu
This network shows the impact of papers produced by M.T. Vu. 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 M.T. Vu. The network helps show where M.T. Vu may publish in the future.
Co-authors
The 20 scholars most cited alongside M.T. Vu, 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 | 2020 | 115 | |
| 2 | 2013 | 65 | |
| 3 | 2021 | 39 | |
| 4 | 2022 | 17 | |
| 5 | 2020 | 16 | |
| 6 | 2022 | 15 | |
| 7 | 2023 | 11 | |
| 8 | 2023 | 10 | |
| 9 | 2022 | 8 | |
| 10 | 2014 | 7 | |
| 11 | 2023 | 5 | |
| 12 | 2013 | 5 | |
| 13 | 2019 | 4 | |
| 14 | 2020 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2023 | 0 | |
| 19 | 2022 | 0 |
About M.T. Vu
M.T. Vu is a scholar working on Environmental Engineering, Ocean Engineering, Geophysics, Mechanical Engineering and Water Science and Technology, having authored 19 papers that have together received 322 indexed citations. Recurring topics across this work include Groundwater flow and contamination studies (10 papers), Geophysical and Geoelectrical Methods (5 papers), Hydrology and Watershed Management Studies (4 papers), Geophysical Methods and Applications (4 papers), Hydrological Forecasting Using AI (4 papers), Hydraulic Fracturing and Reservoir Analysis (4 papers), Seismic Imaging and Inversion Techniques (4 papers) and Seismic Waves and Analysis (2 papers). The work is most often cited by research in Environmental Engineering (191 citations), Ocean Engineering (122 citations), Geophysics (87 citations), Water Science and Technology (83 citations) and Global and Planetary Change (56 citations). M.T. Vu has collaborated with scholars based in France, Vietnam and United States. Frequent co-authors include Abderrahim Jardani, Nicolas Masséi, Matthieu Fournier, P. M. Adler, S. Békri, P. M. Adler, M. Krimissa, Benoı̂t Laignel, Julien Deloffre and Sophie Guillon. Their work appears in journals such as Journal of Hydrology, Advances in Water Resources, Geophysical Journal International, The Science of The Total Environment and Hydrological Sciences Journal.
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.