S. Horn

6.9k total citations
232 papers, 5.6k citations indexed

About

S. Horn is a scholar working on Condensed Matter Physics, Electronic, Optical and Magnetic Materials and Materials Chemistry. According to data from OpenAlex, S. Horn has authored 232 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 137 papers in Condensed Matter Physics, 101 papers in Electronic, Optical and Magnetic Materials and 53 papers in Materials Chemistry. Recurrent topics in S. Horn's work include Advanced Condensed Matter Physics (67 papers), Physics of Superconductivity and Magnetism (63 papers) and Rare-earth and actinide compounds (53 papers). S. Horn is often cited by papers focused on Advanced Condensed Matter Physics (67 papers), Physics of Superconductivity and Magnetism (63 papers) and Rare-earth and actinide compounds (53 papers). S. Horn collaborates with scholars based in Germany, United States and Moldova. S. Horn's co-authors include Markus G. R. Sause, Matthias Klemm, F. Steglich, Judith Moosburger‐Will, A. Loidl, R. Tidecks, M. L. denBoer, G. Obermeier, S. Klimm and M. Loewenhaupt and has published in prestigious journals such as Physical Review Letters, Physical review. B, Condensed matter and Applied Physics Letters.

In The Last Decade

S. Horn

224 papers receiving 5.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Horn Germany 39 2.9k 2.4k 1.4k 880 852 232 5.6k
Juan Du China 42 982 0.3× 3.8k 1.6× 2.8k 2.0× 497 0.6× 832 1.0× 343 6.6k
Jincang Zhang China 46 2.0k 0.7× 6.4k 2.6× 3.2k 2.3× 463 0.5× 721 0.8× 335 8.3k
Viktor G. Hadjiev United States 35 882 0.3× 1.4k 0.6× 3.4k 2.4× 703 0.8× 395 0.5× 131 5.5k
Masaki Ichihara Japan 41 771 0.3× 2.1k 0.9× 2.8k 2.0× 489 0.6× 803 0.9× 150 5.8k
Gang Wang China 40 1.8k 0.6× 2.7k 1.1× 5.8k 4.1× 517 0.6× 1.6k 1.9× 341 10.2k
Yan Xin United States 42 1.2k 0.4× 1.6k 0.7× 4.7k 3.3× 454 0.5× 631 0.7× 223 7.4k
Takeo Oku Japan 43 828 0.3× 1.1k 0.5× 5.5k 3.9× 1.2k 1.4× 341 0.4× 435 8.2k
A.M. Umarji India 35 843 0.3× 1.7k 0.7× 2.4k 1.7× 624 0.7× 484 0.6× 190 4.2k
Xiaojuan Sun China 49 1.9k 0.6× 1.8k 0.8× 3.6k 2.5× 266 0.3× 3.6k 4.3× 353 8.9k
R. Boom Netherlands 30 1.0k 0.4× 686 0.3× 2.3k 1.6× 253 0.3× 4.0k 4.7× 130 6.7k

Countries citing papers authored by S. Horn

Since Specialization
Citations

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

Fields of papers citing papers by S. Horn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Horn

This figure shows the co-authorship network connecting the top 25 collaborators of S. Horn. A scholar is included among the top collaborators of S. Horn 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 S. Horn. S. Horn 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.
Horn, S., et al.. (2025). Arrhenius parameters of singly- and doubly-protonated bradykinin measured via dipolar DC kinetics on a quadrupole/time-of-flight platform. International Journal of Mass Spectrometry. 517. 117498–117498.
2.
Horn, S., et al.. (2023). Isothermal anionic polymerization of ε‐caprolactam to polyamide‐6: Kinetic modeling and application for production process. Journal of Applied Polymer Science. 140(34). 2 indexed citations
3.
4.
5.
Sause, Markus G. R., et al.. (2019). Anwendung von Mustererkennungsverfahren zur Schadensanalyse in faserverstärkten Kunststoffen. OPUS (Augsburg University).
6.
Ruhland, Klaus, et al.. (2019). Anodic oxidation of carbon fibers in alkaline and acidic electrolyte: Quantification of surface functional groups by gas-phase derivatization. Applied Surface Science. 506. 144947–144947. 35 indexed citations
7.
Zdravkov, V. I., Anatolie Sidorenko, G. Obermeier, et al.. (2019). Reentrant superconductivity in superconductor-ferromagnetic-alloy bilayers. OPUS (Augsburg University).
8.
Ullrich, Aladin, et al.. (2019). Synthesis and high-resolution structural and chemical analysis of iron-manganese-oxide core-shell nanocubes. Scientific Reports. 9(1). 19264–19264. 15 indexed citations
9.
Moosburger‐Will, Judith, et al.. (2018). Interaction between carbon fibers and polymer sizing: Influence of fiber surface chemistry and sizing reactivity. Applied Surface Science. 439. 305–312. 57 indexed citations
10.
Rudolph, Natalie, et al.. (2018). Dielectric and rheological study of the molecular dynamics during the cure of an epoxy resin. Journal of Polymer Science Part B Polymer Physics. 56(12). 907–913. 21 indexed citations
11.
Zdravkov, V. I., G. Obermeier, Aladin Ullrich, et al.. (2016). Thickness dependence of the triplet spin-valve effect in superconductor–ferromagnet–ferromagnet heterostructures. Beilstein Journal of Nanotechnology. 7. 957–969. 13 indexed citations
12.
Aymonier, Cyril, et al.. (2016). Semi-continuous flow recycling method for carbon fibre reinforced thermoset polymers by near- and supercritical solvolysis. Polymer Degradation and Stability. 133. 264–274. 74 indexed citations
13.
Dachraoui, Hatem, et al.. (2011). Interplay between electronic correlations and coherent structural dynamics during the monoclinic insulator-to-rutile metal phase transition in VO2. Journal of Physics Condensed Matter. 23(43). 435402–435402. 9 indexed citations
14.
Stegemann, Bert, Matthias Klemm, S. Horn, & Mathias Woydt. (2011). Switching adhesion forces by crossing the metal–insulator transition in Magnéli-type vanadium oxide crystals. Beilstein Journal of Nanotechnology. 2. 59–65. 19 indexed citations
15.
Mücksch, M., Michael Marek Koza, H. Mutka, et al.. (2007). Multi-step magnetic ordering in frustrated thiospinel MnSc2S4. Journal of Physics Condensed Matter. 19(14). 145262–145262. 6 indexed citations
16.
Laubach, Stefan, P. C. Schmidt, Andreas Thißen, et al.. (2007). Theoretical and experimental determination of the electronic structure of V2O5, reduced V2O5−xand sodium intercalated NaV2O5. Physical Chemistry Chemical Physics. 9(20). 2564–2576. 66 indexed citations
17.
Erëmin, M. V., Dmitry Zakharov, J. Deisenhofer, et al.. (2006). Unconventional Anisotropic Superexchange inα′−NaV2O5. Physical Review Letters. 96(2). 27209–27209. 12 indexed citations
18.
Zdravkov, V. I., Anatolie Sidorenko, G. Obermeier, et al.. (2006). Reentrant Superconductivity inNb/Cu1−xNixBilayers. Physical Review Letters. 97(5). 57004–57004. 93 indexed citations
19.
Heinrich, M., H.‐A. Krug von Nidda, Р. М. Еремина, et al.. (2004). Spin Dynamics and Charge Order inβ−Na1/3V2O5. Physical Review Letters. 93(11). 116402–116402. 32 indexed citations
20.
Sidorenko, Anatolie, V. I. Zdravkov, Yi Luo, et al.. (2003). Oscillations of the critical temperature in superconducting Nb/Ni bilayers. Annalen der Physik. 12(12). 37–50. 50 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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