M.T. Vu

494 citations
20 papers · 363 · h-index 9

Impact in

Papers in

    • Groundwater flow and contamination studies 10
    • Hydrological Forecasting Using AI 4
    • Geophysical and Geoelectrical Methods 5
    • Seismic Imaging and Inversion Techniques 4
    • Seismic Waves and Analysis 2

M.T. Vu

19 papers receiving 357 citations

Peers

M.T. Vu
Comparison fields: 5 of 58
  • Environmental Engineering 206
  • Ocean Engineering 125
  • Geophysics 94
  • Water Science and Technology 88
  • Global and Planetary Change 59
Replace Amalia Kokkinaki with:
Amalia Kokkinaki United States
Sebastian Müller Germany
Thomas Romary France
Sitakanta Mohanty United States
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Marco Panzeri Italy
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Chris B. M. te Stroet Netherlands
Tom Clemo United States
M.T. Vu relative to Amalia Kokkinaki United States Amalia Kokkinaki's profile →
Citations per field
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Amalia Kokkinaki · 1×
Citations per year

Countries citing papers authored by M.T. Vu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with M.T. Vu Line = papers co-authored together M.T. Vu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2020133
2 201366
3 202144
4 202218
5 202217
6 202017
7 202311
8 202311
9 20229
10 20147
11 20236
12 20135
13 20194
14 20234
15 20253
16 20193
17 20202
18 20252
19 20221
20 20230

About M.T. Vu

M.T. Vu is a scholar working on Environmental Engineering, Geophysics, Ocean Engineering, Water Science and Technology and Mechanical Engineering, having authored 20 papers that have together received 363 indexed citations. Recurring topics across this work include Groundwater flow and contamination studies (10 papers), Geophysical and Geoelectrical Methods (5 papers), Hydraulic Fracturing and Reservoir Analysis (4 papers), Seismic Imaging and Inversion Techniques (4 papers), Geophysical Methods and Applications (4 papers), Hydrological Forecasting Using AI (4 papers), Hydrology and Watershed Management Studies (4 papers) and Seismic Waves and Analysis (2 papers). The work is most often cited by research in Environmental Engineering (206 citations), Ocean Engineering (125 citations), Geophysics (94 citations), Water Science and Technology (88 citations) and Global and Planetary Change (59 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, Pierre M. Adler, S. Békri, P. M. Adler, M. Krimissa, Julien Deloffre, Benoı̂t Laignel 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 Water Resources 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.

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