D. Harting

3.4k total citations
70 papers, 1.1k citations indexed

About

D. Harting is a scholar working on Nuclear and High Energy Physics, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, D. Harting has authored 70 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Nuclear and High Energy Physics, 48 papers in Materials Chemistry and 30 papers in Biomedical Engineering. Recurrent topics in D. Harting's work include Magnetic confinement fusion research (66 papers), Fusion materials and technologies (48 papers) and Superconducting Materials and Applications (30 papers). D. Harting is often cited by papers focused on Magnetic confinement fusion research (66 papers), Fusion materials and technologies (48 papers) and Superconducting Materials and Applications (30 papers). D. Harting collaborates with scholars based in Germany, United Kingdom and Finland. D. Harting's co-authors include D. Reiter, Y. Feng, S. Wiesen, H. Frerichs, G. Corrigan, V. Parail, S. Brezinsek, O. Schmitz, L. Garzotti and A. Loarte and has published in prestigious journals such as Computer Physics Communications, Journal of Nuclear Materials and Nuclear Fusion.

In The Last Decade

D. Harting

67 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Harting Germany 20 1.0k 736 322 307 251 70 1.1k
C.J. Lasnier United States 22 1.1k 1.0× 623 0.8× 335 1.0× 391 1.3× 214 0.9× 65 1.1k
M. Siccinio Germany 19 875 0.8× 533 0.7× 262 0.8× 278 0.9× 355 1.4× 76 1.0k
M. Faitsch Germany 18 855 0.8× 625 0.8× 239 0.7× 246 0.8× 239 1.0× 73 986
S. Ding China 17 1.0k 1.0× 500 0.7× 347 1.1× 417 1.4× 346 1.4× 85 1.1k
J. Lore United States 18 1.0k 1.0× 721 1.0× 286 0.9× 293 1.0× 279 1.1× 116 1.2k
G. Arnoux United Kingdom 24 1.4k 1.3× 996 1.4× 486 1.5× 361 1.2× 296 1.2× 84 1.5k
C. Lowry United Kingdom 17 859 0.8× 751 1.0× 263 0.8× 172 0.6× 334 1.3× 45 1.1k
A. Thornton United Kingdom 18 1.4k 1.3× 831 1.1× 469 1.5× 536 1.7× 337 1.3× 68 1.5k
U. Kruezi Germany 18 856 0.8× 665 0.9× 315 1.0× 171 0.6× 189 0.8× 64 993
A. Mlynek Germany 15 1.2k 1.1× 579 0.8× 377 1.2× 534 1.7× 309 1.2× 48 1.3k

Countries citing papers authored by D. Harting

Since Specialization
Citations

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

Fields of papers citing papers by D. Harting

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Harting

This figure shows the co-authorship network connecting the top 25 collaborators of D. Harting. A scholar is included among the top collaborators of D. Harting 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 D. Harting. D. Harting 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.
Harting, D., D. Reiser, S. Rode, et al.. (2025). Improved Coulomb collision operator for kinetic ion transport with EMC3-EIRENE simulating Nitrogen seeding in medium density ITER L-mode scenario. Nuclear Materials and Energy. 42. 101887–101887.
2.
3.
Kumpulainen, H., M. Groth, S. Brezinsek, et al.. (2024). Validated edge and core predictions of tungsten erosion and transport in JET ELMy H-mode plasmas. Plasma Physics and Controlled Fusion. 66(5). 55007–55007. 4 indexed citations
4.
Groth, M., B. Lomanowski, A. Meigs, et al.. (2024). Validation of SOLPS-ITER and EDGE2D-EIRENE simulations for H, D, and T JET ITER-like wall low-confinement mode plasmas. Nuclear Materials and Energy. 42. 101842–101842. 3 indexed citations
5.
Kumpulainen, H., M. Groth, S. Brezinsek, et al.. (2022). ELM and inter-ELM tungsten erosion sources in high-power, JET ITER-like wall H-mode plasmas. Nuclear Materials and Energy. 33. 101264–101264. 6 indexed citations
6.
Kumpulainen, H., M. Groth, G. Corrigan, et al.. (2020). Validation of EDGE2D-EIRENE and DIVIMP for W SOL transport in JET. Nuclear Materials and Energy. 25. 100866–100866. 12 indexed citations
7.
Солоха, В. В., M. Groth, S. Brezinsek, et al.. (2020). The role of drifts on the isotope effect on divertor plasma detachment in JET Ohmic discharges. Nuclear Materials and Energy. 25. 100836–100836. 6 indexed citations
8.
Militello-Asp, E., F. J. Casson, D. Farina, et al.. (2018). JINTRAC Coupled Core/SOL/Divertor Transport Simulations in Support of ITER. Bulletin of the American Physical Society. 2018. 1 indexed citations
9.
Varoutis, S., D. Moulton, U. Kruezi, et al.. (2017). Simulation of neutral gas flow in the JET sub-divertor. Fusion Engineering and Design. 121. 13–21. 23 indexed citations
10.
Lawson, K., M. Groth, D. Harting, et al.. (2017). A study of the atomic and molecular power loss terms in EDGE2D-EIRENE simulations of JET ITER-like wall L-mode discharges. Nuclear Materials and Energy. 12. 924–930. 1 indexed citations
11.
Wiesen, S., S. Brezinsek, D. Harting, et al.. (2016). Effect of PFC Recycling Conditions on JET Pedestal Density. Contributions to Plasma Physics. 56(6-8). 754–759. 4 indexed citations
12.
Jaervinen, A.E., S. Brezinsek, C. Giroud, et al.. (2016). Impact of divertor geometry on radiative divertor performance in JET H-mode plasmas. Plasma Physics and Controlled Fusion. 58(4). 45011–45011. 23 indexed citations
13.
Belo, P., F. Romanelli, F. I. Parra, et al.. (2015). Coupled core/SOL modelling of fuelling requirements during the current ramp-up of ITER L-mode plasmas. CINECA IRIS Institutial research information system (Parthenope University of Naples). 1 indexed citations
14.
Guillemaut, C., A. Jardin, J. Horáček, et al.. (2015). Ion target impact energy during Type I edge localized modes in JET ITER-like Wall. Plasma Physics and Controlled Fusion. 57(8). 85006–85006. 36 indexed citations
15.
Moulton, D., et al.. (2015). Pumping in vertical and horizontal target configurations on JET in L-mode; an interpretive study using EDGE2D-EIRENE. Repository KITopen (Karlsruhe Institute of Technology). 4 indexed citations
16.
Harting, D., S. Wiesen, M. Groth, et al.. (2014). Intra-ELM phase modelling of a JET ITER-like wall H-mode discharge with EDGE2D-EIRENE. Journal of Nuclear Materials. 463. 493–497. 14 indexed citations
17.
Rack, M., A. Wingen, Y. Liang, et al.. (2012). Thermoelectric currents and their role during ELM formation in JET. Nuclear Fusion. 52(7). 74012–74012. 10 indexed citations
18.
Luna, E. de la, E.R. Solano, F. Sartori, et al.. (2012). The Effect of ELM Mitigation Methods on the Access to High H-mode Confinement (H 98 ∼ 1) on JET. 1 indexed citations
19.
Strachan, J., G. Corrigan, D. Harting, et al.. (2010). EDGE2D comparisons of JET tungsten and carbon screening. Journal of Nuclear Materials. 415(1). S501–S504. 9 indexed citations
20.
Sun, Youwen, Y. Liang, H. R. Koslowski, et al.. (2009). Toroidal rotation braking with low n external perturbation field on JET. JuSER (Forschungszentrum Jülich). 1 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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