N.M.T. Vu

426 total citations
12 papers, 76 citations indexed

About

N.M.T. Vu is a scholar working on Nuclear and High Energy Physics, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, N.M.T. Vu has authored 12 papers receiving a total of 76 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Nuclear and High Energy Physics, 4 papers in Biomedical Engineering and 4 papers in Materials Chemistry. Recurrent topics in N.M.T. Vu's work include Magnetic confinement fusion research (7 papers), Fusion materials and technologies (4 papers) and Control and Stability of Dynamical Systems (3 papers). N.M.T. Vu is often cited by papers focused on Magnetic confinement fusion research (7 papers), Fusion materials and technologies (4 papers) and Control and Stability of Dynamical Systems (3 papers). N.M.T. Vu collaborates with scholars based in Switzerland, Netherlands and France. N.M.T. Vu's co-authors include F. Felici, O. Sauter, M. Kong, C. Galperti, E. Maljaars, T.C. Blanken, R. Nouailletas, Ionela Prodan, Laurent Lefèvre and Duc A. Tran and has published in prestigious journals such as Nature Communications, Systems & Control Letters and Nuclear Fusion.

In The Last Decade

N.M.T. Vu

9 papers receiving 70 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
N.M.T. Vu Switzerland	5	65	36	26	22	14	12	76
A. Stephen United Kingdom	7	82 1.3×	29 0.8×	32 1.2×	37 1.7×	8 0.6×	16	100
R. Henriques Portugal	6	57 0.9×	27 0.8×	9 0.3×	19 0.9×	12 0.9×	23	73
G. Tinios United States	4	64 1.0×	24 0.7×	28 1.1×	20 0.9×	14 1.0×	6	66
P. Card United Kingdom	7	88 1.4×	33 0.9×	45 1.7×	45 2.0×	9 0.6×	12	106
S.R. In South Korea	7	69 1.1×	71 2.0×	28 1.1×	17 0.8×	5 0.4×	15	105
N. Greenough United States	5	41 0.6×	26 0.7×	15 0.6×	6 0.3×	15 1.1×	26	56
Jizhao Zhu United States	4	66 1.0×	25 0.7×	20 0.8×	24 1.1×	26 1.9×	9	82
M.C. Kyum South Korea	5	44 0.7×	21 0.6×	26 1.0×	7 0.3×	5 0.4×	9	68
D. Kinna United Kingdom	7	109 1.7×	33 0.9×	31 1.2×	76 3.5×	4 0.3×	14	133
P. McCullen United Kingdom	8	111 1.7×	33 0.9×	58 2.2×	68 3.1×	9 0.6×	19	133

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-authorship network of co-authors of N.M.T. Vu

This figure shows the co-authorship network connecting the top 25 collaborators of N.M.T. Vu. A scholar is included among the top collaborators of N.M.T. Vu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with N.M.T. Vu. N.M.T. Vu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

1.

Pau, A., Cristina Rea, O. Sauter, et al.. (2025). Learning plasma dynamics and robust rampdown trajectories with predict-first experiments at TCV. Nature Communications. 16(1). 8877–8877.

2.

Pesamosca, Federico, T. Ravensbergen, R.A. Pitts, et al.. (2024). Development of ITER first wall heat load feedback control. Nuclear Materials and Energy. 41. 101781–101781. 1 indexed citations

3.

Vu, N.M.T., et al.. (2024). Physically Unclonable Functions Based on Scattering of Core-Shell Nanoparticles. 1–3.

4.

Felici, F., et al.. (2023). Model-based electron density estimation using multiple diagnostics on TCV. Fusion Engineering and Design. 192. 113615–113615. 5 indexed citations

5.

Vu, N.M.T., et al.. (2023). Port-Hamiltonian observer for state-feedback control design. SPIRE - Sciences Po Institutional REpository. 1–6.

6.

Vu, N.M.T., et al.. (2022). A combined Control by Interconnection—Model Predictive Control design for constrained Port-Hamiltonian systems. Systems & Control Letters. 167. 105336–105336. 3 indexed citations

7.

Pau, A., M. Maraschek, F. Felici, et al.. (2020). Active disruption avoidance for H-mode density limits on TCV and ASDEX Upgrade. MPG.PuRe (Max Planck Society). 1 indexed citations

8.

Vu, N.M.T., T.C. Blanken, F. Felici, et al.. (2019). Tokamak-agnostic actuator management for multi-task integrated control with application to TCV and ITER. Fusion Engineering and Design. 147. 111260–111260. 14 indexed citations

9.

Blanken, T.C., F. Felici, C. Galperti, et al.. (2018). Real-time plasma state monitoring and supervisory control on TCV. Nuclear Fusion. 59(2). 26017–26017. 12 indexed citations

10.

Maljaars, E., F. Felici, T.C. Blanken, et al.. (2017). Profile control simulations and experiments on TCV: a controller test environment and results using a model-based predictive controller. Nuclear Fusion. 57(12). 126063–126063. 28 indexed citations

11.

Vu, N.M.T., R. Nouailletas, E. Maljaars, F. Felici, & O. Sauter. (2017). Plasma internal profile control using IDA-PBC: Application to TCV. Fusion Engineering and Design. 123. 624–627. 10 indexed citations

12.

Vu, N.M.T., et al.. (2008). ART: A dynamic medium access protocol for closed light-trail networks. 144–149. 2 indexed citations

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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