J. Schilling

1.5k total citations
29 papers, 179 citations indexed

About

J. Schilling is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Biomedical Engineering. According to data from OpenAlex, J. Schilling has authored 29 papers receiving a total of 179 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Nuclear and High Energy Physics, 12 papers in Astronomy and Astrophysics and 7 papers in Biomedical Engineering. Recurrent topics in J. Schilling's work include Magnetic confinement fusion research (20 papers), Ionosphere and magnetosphere dynamics (9 papers) and Superconducting Materials and Applications (7 papers). J. Schilling is often cited by papers focused on Magnetic confinement fusion research (20 papers), Ionosphere and magnetosphere dynamics (9 papers) and Superconducting Materials and Applications (7 papers). J. Schilling collaborates with scholars based in Germany, United States and Portugal. J. Schilling's co-authors include Amy M. Engel, Jeffrey M. Smith, Mohammed Hassan, H. Thomsen, K. Rahbarnia, M. Endler, T. Bluhm, A. K̈onies, T. Andreeva and M. Zilker and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer Physics Communications and Nuclear Fusion.

In The Last Decade

J. Schilling

27 papers receiving 172 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Schilling Germany 8 102 58 35 33 29 29 179
Gavin Wheeler United Kingdom 9 25 0.2× 155 2.7× 16 0.5× 51 1.5× 7 0.2× 15 331
Jae-hyeon Park South Korea 13 494 4.8× 124 2.1× 5 0.1× 12 0.4× 13 0.4× 54 617
V. Moncada France 8 104 1.0× 5 0.1× 8 0.2× 9 0.3× 35 1.2× 12 155
Norman Gray United Kingdom 8 508 5.0× 60 1.0× 23 0.7× 34 1.0× 2 0.1× 30 657
Dilshat Djumanov Uzbekistan 10 16 0.2× 17 0.3× 19 0.5× 7 0.2× 3 0.1× 45 258
K. Hoshino Japan 9 137 1.3× 17 0.3× 5 0.1× 6 0.2× 22 0.8× 59 283
O. Hoenen Germany 7 40 0.4× 9 0.2× 3 0.1× 2 0.1× 30 1.0× 13 139
M. Klein United Kingdom 10 306 3.0× 17 0.3× 3 0.1× 36 1.1× 19 0.7× 61 374
L. Legrand Spain 9 81 0.8× 254 4.4× 19 0.5× 2 0.1× 7 0.2× 15 314
Christian Theis Switzerland 10 34 0.3× 113 1.9× 2 0.1× 4 0.1× 39 1.3× 39 254

Countries citing papers authored by J. Schilling

Since Specialization
Citations

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

Fields of papers citing papers by J. Schilling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Schilling

This figure shows the co-authorship network connecting the top 25 collaborators of J. Schilling. A scholar is included among the top collaborators of J. Schilling 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 J. Schilling. J. Schilling 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.
Böckenhoff, D., et al.. (2023). Physics-regularized neural network of the ideal-MHD solution operator in Wendelstein 7-X configurations. Nuclear Fusion. 63(6). 66020–66020. 2 indexed citations
2.
Pavone, A., D. Böckenhoff, E. Pasch, et al.. (2023). Accelerated Bayesian inference of plasma profiles with self-consistent MHD equilibria at W7-X via neural networks. Journal of Instrumentation. 18(11). P11012–P11012. 2 indexed citations
3.
Schilling, J., J. Svensson, U. Höfel, J. Geiger, & H. Thomsen. (2023). Biot-Savart routines with minimal floating point error. Computer Physics Communications. 287. 108692–108692.
4.
Rahbarnia, K., C. Slaby, H. Thomsen, et al.. (2023). Broadband Alfvénic excitation correlated to turbulence level in the Wendelstein 7-X stellarator plasmas. Nuclear Fusion. 63(9). 96008–96008. 5 indexed citations
5.
Toussaint, U. von, et al.. (2023). Uncertainty quantification in three‐dimensional magnetohydrodynamic equilibrium reconstruction via surrogate‐assisted Bayesian inference. Contributions to Plasma Physics. 63(5-6). 2 indexed citations
6.
Schmitt, J.C., D. M. Kriete, T. Andreeva, et al.. (2022). Radial coordinate maps, radial vectors, and binormal vectors for 5/6, 5/5 and 5/4 edge island domains in W7-X. Plasma Physics and Controlled Fusion. 64(5). 55022–55022. 2 indexed citations
7.
Dinklage, A., J. Geiger, M. Hirsch, et al.. (2022). Fast characterization of plasma states in W7-X with permutation entropy. Plasma Physics and Controlled Fusion. 64(8). 84005–84005. 1 indexed citations
8.
Dreval, M., et al.. (2021). Determination of poloidal mode numbers of MHD modes and their radial location using a soft x-ray camera array in the Wendelstein 7-X stellarator. Plasma Physics and Controlled Fusion. 63(6). 65006–65006. 5 indexed citations
9.
Böckenhoff, D., J. Schilling, U. Höfel, et al.. (2021). Proof of concept of a fast surrogate model of the VMEC code via neural networks in Wendelstein 7-X scenarios. Repository KITopen (Karlsruhe Institute of Technology). 12 indexed citations
10.
Rahbarnia, K., H. Thomsen, J. Schilling, et al.. (2020). Alfvénic fluctuations measured by in-vessel Mirnov coils at the Wendelstein 7-X stellarator. Plasma Physics and Controlled Fusion. 63(1). 15005–15005. 18 indexed citations
11.
Zanini, M., H. P. Laqua, T. Stange, et al.. (2019). ECCD operations in the second experimental campaign at W7-X. SHILAP Revista de lepidopterología. 3 indexed citations
12.
Rahbarnia, K., T. Andreeva, T. Bluhm, et al.. (2019). MHD activity during the recent divertor campaign at the Wendelstein 7-X stellarator. MPG.PuRe (Max Planck Society). 1 indexed citations
13.
Andreeva, T., A. Alonso, S. Bozhenkov, et al.. (2019). Equilibrium evaluation for Wendelstein 7-X experiment programs in the first divertor phase. Fusion Engineering and Design. 146. 299–302. 5 indexed citations
14.
Gao, Yu, M. Jakubowski, J. Geiger, et al.. (2018). Effects of toroidal plasma currents on the strike-line movements on W7-X. Max Planck Digital Library. 1 indexed citations
15.
Schilling, J., Amy M. Engel, Mohammed Hassan, & Jeffrey M. Smith. (2012). Robotic Excision of Atrial Myxoma. Journal of Cardiac Surgery. 27(4). 423–426. 35 indexed citations
16.
Schilling, J.. (2003). The simplest heuristics may be the best in Java JIT compilers. ACM SIGPLAN Notices. 38(2). 36–46. 10 indexed citations
17.
Schilling, J.. (1998). Optimizing away C++ exception handling. ACM SIGPLAN Notices. 33(8). 40–47. 5 indexed citations
18.
Schilling, J.. (1995). Dynamically-valued constants. ACM SIGPLAN Notices. 30(4). 13–20. 1 indexed citations
19.
Schilling, J., et al.. (1994). Automatic compiler recognition of monitor tasks. ACM SIGAda Ada Letters. XIV(3). 91–104. 1 indexed citations
20.
Schilling, J.. (1993). Use of Ada in a commericial, small company environment. 89–94. 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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