F. Köchl

2.9k total citations
36 papers, 553 citations indexed

About

F. Köchl is a scholar working on Nuclear and High Energy Physics, Materials Chemistry and Aerospace Engineering. According to data from OpenAlex, F. Köchl has authored 36 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Nuclear and High Energy Physics, 23 papers in Materials Chemistry and 18 papers in Aerospace Engineering. Recurrent topics in F. Köchl's work include Magnetic confinement fusion research (34 papers), Fusion materials and technologies (22 papers) and Superconducting Materials and Applications (14 papers). F. Köchl is often cited by papers focused on Magnetic confinement fusion research (34 papers), Fusion materials and technologies (22 papers) and Superconducting Materials and Applications (14 papers). F. Köchl collaborates with scholars based in France, Austria and United Kingdom. F. Köchl's co-authors include V. Parail, L. Garzotti, A. Loarte, A.R. Polevoi, D. Harting, S. Wiesen, E. Militello-Asp, M. Romanelli, M. Mattei and R. Ambrosino and has published in prestigious journals such as Physics of Plasmas, Nuclear Fusion and Plasma Physics and Controlled Fusion.

In The Last Decade

F. Köchl

32 papers receiving 516 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F. Köchl France 13 522 366 209 166 90 36 553
F. Koechl United Kingdom 13 517 1.0× 329 0.9× 158 0.8× 161 1.0× 140 1.6× 51 548
J.C. Xu China 14 479 0.9× 343 0.9× 141 0.7× 140 0.8× 82 0.9× 57 530
Travis Gray United States 4 461 0.9× 358 1.0× 115 0.6× 163 1.0× 98 1.1× 6 490
J. I. Paley Switzerland 11 446 0.9× 275 0.8× 102 0.5× 149 0.9× 114 1.3× 21 493
L. Aho-Mantila Germany 13 564 1.1× 496 1.4× 111 0.5× 137 0.8× 127 1.4× 41 612
S. Maruyama France 12 421 0.8× 316 0.9× 185 0.9× 164 1.0× 37 0.4× 37 466
D. T. Fehling United States 12 383 0.7× 249 0.7× 171 0.8× 123 0.7× 44 0.5× 43 440
M. Romanelli United Kingdom 10 360 0.7× 222 0.6× 129 0.6× 130 0.8× 87 1.0× 37 391
P. Lomas United Kingdom 13 481 0.9× 273 0.7× 100 0.5× 169 1.0× 152 1.7× 42 523
P. Drewelow Germany 11 380 0.7× 254 0.7× 93 0.4× 87 0.5× 74 0.8× 56 416

Countries citing papers authored by F. Köchl

Since Specialization
Citations

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

Fields of papers citing papers by F. Köchl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Köchl

This figure shows the co-authorship network connecting the top 25 collaborators of F. Köchl. A scholar is included among the top collaborators of F. Köchl 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 F. Köchl. F. Köchl 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.
Panadero, N., K. J. McCarthy, B. Pégouriè, et al.. (2023). Using rational surfaces to improve pellet fuelling in stellarators. Journal of Plasma Physics. 89(6).
2.
Chang, C. S., S. Ku, R. Hager, et al.. (2021). Constructing a new predictive scaling formula for ITER's divertor heat-load width informed by a simulation-anchored machine learning. Physics of Plasmas. 28(2). 23 indexed citations
3.
Simpson, J., D. Moulton, C. Giroud, et al.. (2021). An examination of the Neutral Penetration Model 1 / n e , ped scaling for its validity of spatially varying neutral sources. Nuclear Materials and Energy. 28. 101037–101037. 1 indexed citations
4.
Valovič, M., Y. Baranov, A. Boboc, et al.. (2019). Control of the hydrogen:deuterium isotope mixture using pellets in JET. Nuclear Fusion. 59(10). 106047–106047. 5 indexed citations
5.
Beidler, C. D., Y. Feng, J. Geiger, et al.. (2018). (Expected difficulties with) density-profile control in W7-X high-performance plasmas. Plasma Physics and Controlled Fusion. 60(10). 105008–105008. 10 indexed citations
6.
Polevoi, A.R., A. Loarte, S. Yu. Medvedev, et al.. (2018). Integrated modelling of ITER scenarios with D-T Mix control. Max Planck Digital Library. 1 indexed citations
7.
Polevoi, A.R., A. Loarte, R. Dux, et al.. (2018). Integrated simulations of H-mode operation in ITER including core fuelling, divertor detachment and ELM control. Nuclear Fusion. 58(5). 56020–56020. 26 indexed citations
8.
Köchl, F., A. Loarte, E. de la Luna, et al.. (2018). W transport and accumulation control in the termination phase of JET H-mode discharges and implications for ITER. Plasma Physics and Controlled Fusion. 60(7). 74008–74008. 36 indexed citations
9.
Vincenzi, P., R. Ambrosino, J.F. Artaud, et al.. (2017). EU DEMO transient phases: Main constraints and heating mix studies for ramp-up and ramp-down. Fusion Engineering and Design. 123. 473–476. 11 indexed citations
10.
Polevoi, A.R., A. Loarte, A. Kukushkin, et al.. (2016). Analysis of fuelling requirements in ITER H-modes with SOLPS-EPED1 derived scalings. Nuclear Fusion. 57(2). 22014–22014. 31 indexed citations
11.
Sirén, P., T. Tala, G. Corrigan, et al.. (2015). Understanding of the fundamental differences in JET and JT-60U AT discharges. Plasma Physics and Controlled Fusion. 57(7). 75015–75015. 2 indexed citations
12.
Zagórski, R., I. Voitsekhovitch, I. Ivanova‐Stanik, et al.. (2015). Integrated core–SOL–divertor modelling for ITER including impurity: effect of tungsten on fusion performance in H-mode and hybrid scenario. Nuclear Fusion. 55(5). 53032–53032. 6 indexed citations
13.
Marchetto, C., T. Koskela, F. Köchl, et al.. (2014). Island aware JINTRAC simulations of JET pulses with neutron deficit.
14.
Romanelli, M., V. Parail, S. Wiesen, et al.. (2014). JINTRAC: A System of Codes for Integrated Simulation of Tokamak Scenarios. Plasma and Fusion Research. 9(0). 3403023–3403023. 153 indexed citations
15.
Sakamoto, R., B. Pégouriè, F. Clairet, et al.. (2013). Cross-field dynamics of the homogenization of the pellet deposited material in Tore Supra. Nuclear Fusion. 53(6). 63007–63007. 9 indexed citations
16.
Garzotti, L., C. Bourdelle, J. Citrin, et al.. (2012). Simulations of density profiles in JET hybrid discharges. Chalmers Publication Library (Chalmers University of Technology). 1 indexed citations
17.
Hogeweij, G. M. D., J.F. Artaud, T. A. Casper, et al.. (2012). Optimizing the current ramp-up phase for the hybrid ITER scenario. Nuclear Fusion. 53(1). 13008–13008. 9 indexed citations
18.
Garzotti, L., P. Belo, G. Corrigan, et al.. (2011). Simulations of density profiles, pellet fuelling and density control in ITER. Nuclear Fusion. 52(1). 13002–13002. 28 indexed citations
19.
Garzotti, L., L. R. Baylor, F. Köchl, et al.. (2010). Observation and analysis of pellet material ∇B drift on MAST. Nuclear Fusion. 50(10). 105002–105002. 12 indexed citations
20.
Hogeweij, G. M. D., Vladimir A. Basiuk, J. Citrin, et al.. (2010). Current ramp-up in tokamaks: from present experiments to ITER scenarios. Max Planck Institute for Plasma Physics. 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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