M. G. von Hellermann

2.8k total citations
49 papers, 1.2k citations indexed

About

M. G. von Hellermann is a scholar working on Nuclear and High Energy Physics, Materials Chemistry and Astronomy and Astrophysics. According to data from OpenAlex, M. G. von Hellermann has authored 49 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Nuclear and High Energy Physics, 20 papers in Materials Chemistry and 13 papers in Astronomy and Astrophysics. Recurrent topics in M. G. von Hellermann's work include Magnetic confinement fusion research (43 papers), Fusion materials and technologies (20 papers) and Ionosphere and magnetosphere dynamics (13 papers). M. G. von Hellermann is often cited by papers focused on Magnetic confinement fusion research (43 papers), Fusion materials and technologies (20 papers) and Ionosphere and magnetosphere dynamics (13 papers). M. G. von Hellermann collaborates with scholars based in United Kingdom, Netherlands and Germany. M. G. von Hellermann's co-authors include W. Mandl, R. C. Wolf, H. P. Summers, H. P. Summers, D. Borba, B. Alper, L. D. Horton, K.-D. Zastrow, V. Parail and R. Jaspers and has published in prestigious journals such as Physical Review Letters, Journal of Applied Physics and Physics Letters A.

In The Last Decade

M. G. von Hellermann

48 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
M. G. von Hellermann	1.1k	486	429	242	230	49	1.2k
M. von Hellermann	1.0k 0.9×	395 0.8×	417 1.0×	203 0.8×	206 0.9×	56	1.1k
K.H. Finken	1.3k 1.2×	547 1.1×	588 1.4×	345 1.4×	205 0.9×	98	1.6k
S. Zoletnik	1.0k 0.9×	480 1.0×	351 0.8×	152 0.6×	129 0.6×	126	1.2k
M.E. Puiatti	929 0.8×	475 1.0×	306 0.7×	193 0.8×	152 0.7×	77	1.0k
Y. Podpaly	1.1k 1.0×	603 1.2×	354 0.8×	267 1.1×	347 1.5×	57	1.4k
P. E. Phillips	1.3k 1.2×	864 1.8×	386 0.9×	152 0.6×	165 0.7×	57	1.4k
M. Valisa	1.0k 0.9×	464 1.0×	377 0.9×	268 1.1×	129 0.6×	97	1.1k
A. Gondhalekar	1.1k 1.0×	516 1.1×	303 0.7×	219 0.9×	207 0.9×	42	1.3k
C. Michael	1.1k 1.0×	656 1.3×	285 0.7×	174 0.7×	117 0.5×	87	1.2k
R. J. Colchin	1.1k 1.0×	406 0.8×	494 1.2×	228 0.9×	131 0.6×	72	1.2k

Countries citing papers authored by M. G. von Hellermann

Since Specialization

Citations

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

Fields of papers citing papers by M. G. von Hellermann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. G. von Hellermann. 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. G. von Hellermann. The network helps show where M. G. von Hellermann may publish in the future.

Co-authorship network of co-authors of M. G. von Hellermann

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

All Works

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20 of 20 papers shown

Bock, M. De, et al.. (2021). Measurement performance assessment for the ITER CXRS Edge diagnostic system. Review of Scientific Instruments. 92(5). 53517–53517. 4 indexed citations

Zhang, Jie, J. Huang, J. F. Chang, et al.. (2018). Fast ion D-alpha measurements using a bandpass-filtered system on EAST. Review of Scientific Instruments. 89(10). 10D121–10D121. 6 indexed citations

Asztalos, Ö., G. Pokol, D. Dunai, et al.. (2017). Feasibility study on the JT-60SA tokamak beam emission spectroscopy diagnostics. Fusion Engineering and Design. 123. 861–864. 3 indexed citations

Huang, J., W. W. Heidbrink, M. G. von Hellermann, et al.. (2016). Validation of fast-ion D-alpha spectrum measurements during EAST neutral-beam heated plasmas. Review of Scientific Instruments. 87(11). 11E542–11E542. 8 indexed citations

Huang, J., W. W. Heidbrink, Bao-Fei Wan, et al.. (2014). Conceptual design of a fast-ion D-alpha diagnostic on experimental advanced superconducting tokamak. Review of Scientific Instruments. 85(11). 11E407–11E407. 10 indexed citations

Delabie, E., Mathias Brix, C. Giroud, et al.. (2010). Consistency of atomic data for the interpretation of beam emission spectra. Plasma Physics and Controlled Fusion. 52(12). 125008–125008. 44 indexed citations

Whiteford, A. D., et al.. (2008). CXSFIT User Manual. 2 indexed citations

Hellermann, M. G. von, E. Delabie, P. Lotte, et al.. (2008). Modelling and Evaluation of Spectra in Beam Aided Spectroscopy. AIP conference proceedings. 187–194. 9 indexed citations

Donné, A. J. H., R. Barnsley, M. G. von Hellermann, Marco Antonio Gigosos, & Manuel Ángel González. (2008). Diagnostics for ITER. AIP conference proceedings. 195–198. 2 indexed citations

10.

Verdoolaege, Geert, et al.. (2006). Integrated Bayesian Estimation of Zeff in the TEXTOR Tokamak from Bremsstrahlung and CX Impurity Density Measurements. AIP conference proceedings. 872. 541–548. 3 indexed citations

11.

Zastrow, K.-D., S. J. Cox, M. G. von Hellermann, et al.. (2005). Helium exhaust experiments on JET with Type I ELMs in H-mode and with Type III ELMs in ITB discharges. Nuclear Fusion. 45(3). 163–175. 15 indexed citations

12.

Hellermann, M. G. von, G. Bertschinger, W. Biel, et al.. (2005). Complex Spectra in Fusion Plasmas. Physica Scripta. T120. 19–29. 48 indexed citations

13.

Goedheer, W. J., G.J. van Rooij, Clemens Barth, et al.. (2004). EFFECT OF MAGNETIC FIELD STRENGTH ON PILOT-PSI PLASMA BEAM FLUXES PROBED BY THOMSON SCATTERING AND SPECTROCOPY. High Temperature Material Processes An International Quarterly of High-Technology Plasma Processes. 8(4). 627–633. 3 indexed citations

14.

Sartori, F., G. Saibene, L. D. Horton, et al.. (2004). Study of Type III ELMs in JET. Plasma Physics and Controlled Fusion. 46(5). 723–750. 58 indexed citations

15.

Baranov, Y., B. Alper, Geoff Cottrell, et al.. (1999). Current profile, MHD activity and transport properties of optimized shear plasmas in JET. Nuclear Fusion. 39(10). 1463–1480. 15 indexed citations

16.

Maggi, C. F., R.D Monk, L. D. Horton, et al.. (1999). The isotope effect on the L mode density limit in JET hydrogen, deuterium and tritium divertor plasmas. Nuclear Fusion. 39(8). 979–991. 12 indexed citations

17.

McCracken, G.M., R. Barnsley, Heng Guo, et al.. (1999). Studies in JET divertors of varied geometry. III: Intrinsic impurity behaviour. Nuclear Fusion. 39(1). 41–60. 30 indexed citations

18.

Zastrow, K.-D., P. Andrew, N. Basse, et al.. (1998). Particle Transport in Steady-State ELMy H-Modes Studied by Trace Tritium Injection during JET DTE-1. Max Planck Institute for Plasma Physics. 385–388. 1 indexed citations

19.

Cordey, J.G., D.G. Muir, V. Parail, et al.. (1995). Evolution of transport through the L-H transition in JET. Nuclear Fusion. 35(5). 505–520. 33 indexed citations

20.

Mandl, W., R. C. Wolf, M. G. von Hellermann, & H. P. Summers. (1993). Beam emission spectroscopy as a comprehensive plasma diagnostic tool. Plasma Physics and Controlled Fusion. 35(10). 1373–1394. 99 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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