E. Maljaars

563 total citations
21 papers, 224 citations indexed

About

E. Maljaars is a scholar working on Nuclear and High Energy Physics, Biomedical Engineering and Aerospace Engineering. According to data from OpenAlex, E. Maljaars has authored 21 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Nuclear and High Energy Physics, 9 papers in Biomedical Engineering and 5 papers in Aerospace Engineering. Recurrent topics in E. Maljaars's work include Magnetic confinement fusion research (15 papers), Fusion materials and technologies (5 papers) and Ionosphere and magnetosphere dynamics (4 papers). E. Maljaars is often cited by papers focused on Magnetic confinement fusion research (15 papers), Fusion materials and technologies (5 papers) and Ionosphere and magnetosphere dynamics (4 papers). E. Maljaars collaborates with scholars based in Netherlands, Switzerland and Germany. E. Maljaars's co-authors include F. Felici, O. Sauter, G. M. D. Hogeweij, Jeroen van Dongen, M.R. de Baar, C. Galperti, M. Steinbuch, T.C. Blanken, N.M.T. Vu and W.P.M.H. Heemels and has published in prestigious journals such as Nuclear Fusion, Plasma Physics and Controlled Fusion and International Journal of Hyperthermia.

In The Last Decade

E. Maljaars

20 papers receiving 213 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Maljaars Netherlands 11 179 95 93 62 33 21 224
I. Yonekawa France 11 219 1.2× 96 1.0× 138 1.5× 79 1.3× 17 0.5× 31 283
T.C. Blanken Netherlands 9 173 1.0× 70 0.7× 57 0.6× 77 1.2× 40 1.2× 13 183
H. Anand United States 10 176 1.0× 50 0.5× 55 0.6× 114 1.8× 20 0.6× 27 210
G. Artaserse Italy 10 185 1.0× 59 0.6× 100 1.1× 85 1.4× 29 0.9× 29 206
B. Santos Portugal 8 140 0.8× 45 0.5× 40 0.4× 18 0.3× 27 0.8× 35 195
Hoang Le Canada 8 190 1.1× 38 0.4× 77 0.8× 70 1.1× 55 1.7× 26 248
T. Zehetbauer Germany 9 187 1.0× 58 0.6× 78 0.8× 62 1.0× 55 1.7× 28 209
Justin Barton United States 10 320 1.8× 156 1.6× 159 1.7× 115 1.9× 62 1.9× 35 360
A. Castaldo Italy 10 176 1.0× 60 0.6× 105 1.1× 87 1.4× 20 0.6× 28 197
Y. Buravand France 6 146 0.8× 56 0.6× 44 0.5× 77 1.2× 23 0.7× 14 179

Countries citing papers authored by E. Maljaars

Since Specialization
Citations

This map shows the geographic impact of E. Maljaars'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 E. Maljaars with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Maljaars more than expected).

Fields of papers citing papers by E. Maljaars

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. Maljaars. 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 E. Maljaars. The network helps show where E. Maljaars may publish in the future.

Co-authorship network of co-authors of E. Maljaars

This figure shows the co-authorship network connecting the top 25 collaborators of E. Maljaars. A scholar is included among the top collaborators of E. Maljaars 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 E. Maljaars. E. Maljaars is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Maljaars, E., et al.. (2020). Mixed-integer model predictive control for large-area MR-HIFU hyperthermia in cancer therapy. IFAC-PapersOnLine. 53(2). 6637–6643.
2.
Kong, M., T.C. Blanken, F. Felici, et al.. (2019). Control of neoclassical tearing modes and integrated multi-actuator plasma control on TCV. Nuclear Fusion. 59(7). 76035–76035. 14 indexed citations
3.
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
4.
Maljaars, E., et al.. (2019). Model predictive control for MR-HIFU-mediated, uniform hyperthermia. International Journal of Hyperthermia. 36(1). 1039–1049. 20 indexed citations
5.
Witrant, Emmanuel, et al.. (2018). Experimental validation of a Lyapunov-based controller for the plasma safety factor and plasma pressure in the TCV tokamak. Nuclear Fusion. 58(5). 56011–56011. 15 indexed citations
6.
Maljaars, E., et al.. (2018). Offset-free model predictive control for enhancing MR-HIFU hyperthermia in cancer treatment. IFAC-PapersOnLine. 51(20). 191–196. 7 indexed citations
7.
Curto, Sergio, Bram de Jager, E. Maljaars, et al.. (2018). POD-Based Recursive Temperature Estimation for MR-Guided RF Hyperthermia Cancer Treatment: A Pilot Study. TU/e Research Portal. 5201–5208. 6 indexed citations
8.
Maljaars, E., et al.. (2018). Offset-Free MPC for Resource Sharing on a Nonlinear SCARA Robot. IFAC-PapersOnLine. 51(20). 265–272. 1 indexed citations
9.
Maljaars, E. & F. Felici. (2017). Actuator allocation for integrated control in tokamaks: architectural design and a mixed-integer programming algorithm. Fusion Engineering and Design. 122. 94–112. 15 indexed citations
10.
Rapson, C., F. Felici, C. Galperti, et al.. (2017). Experiments on actuator management and integrated control at ASDEX Upgrade. Fusion Engineering and Design. 123. 603–606. 10 indexed citations
11.
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
12.
Anand, H., C. Galperti, S. Coda, et al.. (2017). Distributed digital real-time control system for the TCV tokamak and its applications. Nuclear Fusion. 57(5). 56005–56005. 14 indexed citations
13.
Kong, M., O. Sauter, T.C. Blanken, et al.. (2017). Real-time control of neoclassical tearing modes and its integration with multiple controllers in the TCV tokamak. TU/e Research Portal. 1 indexed citations
14.
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
15.
Kim, D., Sun Hee Kim, F. Felici, E. Maljaars, & O. Sauter. (2016). An active feedback plasma profile control approach applied to TCV plasmas & perspectives toward ITER. 3 indexed citations
16.
Felici, F., C. Rapson, W. Treutterer, et al.. (2015). Real-time plasma profile state reconstruction on ASDEX-Upgrade. TU/e Research Portal. 52(6). 367–8. 1 indexed citations
17.
Maljaars, E., F. Felici, M.R. de Baar, et al.. (2015). Control of the tokamak safety factor profile with time-varying constraints using MPC. Nuclear Fusion. 55(2). 23001–23001. 41 indexed citations
18.
Maljaars, E., H. van den Brand, F. Felici, et al.. (2015). Simultaneous control of plasma profiles and neoclassical tearing modes with actuator management in tokamaks. TU/e Research Portal. 3 indexed citations
19.
Felici, F., L. Giannone, E. Maljaars, et al.. (2014). First results of real-time plasma state reconstruction using a model-based dynamic observer on ASDEX-Upgrade. Max Planck Digital Library. 2 indexed citations
20.
Dongen, Jeroen van, F. Felici, G. M. D. Hogeweij, P Geelen, & E. Maljaars. (2014). Numerical optimization of actuator trajectories for ITER hybrid scenario profile evolution. Plasma Physics and Controlled Fusion. 56(12). 125008–125008. 17 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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