N.M.T. Vu

834 citations
30 papers · 705 · h-index 13

Impact in

Papers in

N.M.T. Vu

29 papers receiving 676 citations

Peers

N.M.T. Vu
Comparison fields: 5 of 27
  • Nuclear and High Energy Physics 634
  • Statistical and Nonlinear Physics 21
  • Control and Systems Engineering 45
  • Materials Chemistry 57
  • Radiation 7
Replace Ondrej Kudlacek with:
Ondrej Kudlacek Germany
Graham J. McArdle United Kingdom
T.C. Blanken Germany
Artur Perek Switzerland
M. Fontana United Kingdom
В. В. Солоха Russia
Chris Bowman United Kingdom
X.Q. Zhang China
T. Luda Germany
Dana M. Mastrovito United States
N.M.T. Vu relative to Ondrej Kudlacek Germany Ondrej Kudlacek's profile →
Citations per field
00.5×1.5×1.9×
Ondrej Kudlacek · 1×
Citations per year

Countries citing papers authored by N.M.T. Vu

Since Specialization
Citations

This map shows the geographic impact of N.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 N.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 N.M.T. Vu more than expected).

Fields of papers citing papers by N.M.T. Vu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N.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 N.M.T. Vu. The network helps show where N.M.T. Vu may publish in the future.

Co-authors

The 25 scholars most cited alongside N.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 N.M.T. Vu Line = papers co-authored together N.M.T. Vu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017170
2 202168
3 201759
4 202259
5 201953
6 201948
7 201734
8 202428
9 201923
10 201922
11 201820
12 202120
13 202216
14 201313
15 201713
16 20239
17 20259
18 20218
19 20257
20 20215

About N.M.T. Vu

N.M.T. Vu is a scholar working on Nuclear and High Energy Physics, Control and Systems Engineering, Statistical and Nonlinear Physics, Computational Theory and Mathematics and Materials Chemistry, having authored 30 papers that have together received 705 indexed citations. Recurring topics across this work include Magnetic confinement fusion research (27 papers), Control and Stability of Dynamical Systems (3 papers), Advanced Control Systems Optimization (2 papers), Stability and Controllability of Differential Equations (1 paper), Modeling and Simulation Systems (1 paper), Fusion and Plasma Physics Studies (1 paper), Model Reduction and Neural Networks (1 paper) and Fusion materials and technologies (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (634 citations), Statistical and Nonlinear Physics (21 citations), Control and Systems Engineering (45 citations), Materials Chemistry (57 citations) and Radiation (7 citations). N.M.T. Vu has collaborated with scholars based in Switzerland, Germany and France. Frequent co-authors include Olivier Sauter, Federico Felici, C. Galperti, Mengdi Kong, T.C. Blanken, E. Maljaars, R. Nouailletas, A. Merle, A. Pau and Laurent Lefèvre. Their work appears in journals such as Nuclear Fusion, Fusion Engineering and Design, Plasma Physics and Controlled Fusion, Nature Communications and Nuclear Materials and Energy.

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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