Karin Everschor‐Sitte

6.6k total citations · 4 hit papers
52 papers, 4.6k citations indexed

About

Karin Everschor‐Sitte is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Karin Everschor‐Sitte has authored 52 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Atomic and Molecular Physics, and Optics, 30 papers in Condensed Matter Physics and 13 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Karin Everschor‐Sitte's work include Magnetic properties of thin films (37 papers), Physics of Superconductivity and Magnetism (23 papers) and Theoretical and Computational Physics (12 papers). Karin Everschor‐Sitte is often cited by papers focused on Magnetic properties of thin films (37 papers), Physics of Superconductivity and Magnetism (23 papers) and Theoretical and Computational Physics (12 papers). Karin Everschor‐Sitte collaborates with scholars based in Germany, United States and Norway. Karin Everschor‐Sitte's co-authors include Achim Rosch, Markus Garst, C. Pfleiderer, A. Bauer, Mathias Kläui, Kerem Y. Çamsarı, Julie Grollier, Damien Querlioz, M. D. Stiles and Shunsuke Fukami and has published in prestigious journals such as Science, Physical Review Letters and Nature Communications.

In The Last Decade

Karin Everschor‐Sitte

51 papers receiving 4.5k citations

Hit Papers

Spin Transfer Torques in ... 2010 2026 2015 2020 2010 2012 2020 2018 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Karin Everschor‐Sitte 3.7k 2.1k 1.6k 1.3k 657 52 4.6k
Mykola Dvornik 3.4k 0.9× 1.3k 0.6× 1.3k 0.8× 1.5k 1.1× 478 0.7× 33 3.9k
Joo-Von Kim 4.6k 1.3× 1.9k 0.9× 2.2k 1.3× 1.8k 1.4× 1.1k 1.7× 122 5.4k
Tomohiro Taniguchi 2.1k 0.6× 754 0.4× 895 0.6× 1.3k 1.0× 624 0.9× 142 3.1k
J. Sampaio 5.0k 1.4× 2.7k 1.3× 2.3k 1.4× 1.3k 1.0× 985 1.5× 34 5.6k
William H. Rippard 3.5k 1.0× 1.2k 0.6× 882 0.6× 1.9k 1.5× 420 0.6× 71 4.1k
T. Devolder 4.8k 1.3× 1.5k 0.7× 2.1k 1.3× 2.3k 1.7× 1.2k 1.8× 175 5.7k
Shinji Miwa 2.5k 0.7× 799 0.4× 1.2k 0.8× 1.2k 0.9× 1.2k 1.8× 118 3.3k
Arne Vansteenkiste 3.6k 1.0× 1.6k 0.8× 1.5k 0.9× 1.2k 0.9× 524 0.8× 33 4.0k
Jack C. Sankey 4.8k 1.3× 1.4k 0.7× 1.4k 0.9× 2.2k 1.7× 712 1.1× 42 5.0k
I. N. Krivorotov 6.8k 1.9× 2.5k 1.2× 2.8k 1.7× 3.0k 2.3× 1.4k 2.2× 134 7.7k

Countries citing papers authored by Karin Everschor‐Sitte

Since Specialization
Citations

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

Fields of papers citing papers by Karin Everschor‐Sitte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karin Everschor‐Sitte. 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 Karin Everschor‐Sitte. The network helps show where Karin Everschor‐Sitte may publish in the future.

Co-authorship network of co-authors of Karin Everschor‐Sitte

This figure shows the co-authorship network connecting the top 25 collaborators of Karin Everschor‐Sitte. A scholar is included among the top collaborators of Karin Everschor‐Sitte 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 Karin Everschor‐Sitte. Karin Everschor‐Sitte 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.
Hertel, Riccardo, et al.. (2025). Numerical calculation of the Hopf index for three-dimensional magnetic textures. Physical review. B.. 111(13). 5 indexed citations
2.
Díaz, Sebastián A., et al.. (2024). Spacetime magnetic hopfions from internal excitations and braiding of skyrmions. Communications Physics. 7(1). 8 indexed citations
3.
Everschor‐Sitte, Karin, et al.. (2024). Topological magnetic and ferroelectric systems for reservoir computing. Nature Reviews Physics. 6(7). 455–462. 26 indexed citations
4.
Stenning, Kilian D., Jack C. Gartside, Tony Chen, et al.. (2024). Neuromorphic overparameterisation and few-shot learning in multilayer physical neural networks. Nature Communications. 15(1). 7377–7377. 8 indexed citations
5.
Mulkers, Jeroen, et al.. (2023). Spatial analysis of physical reservoir computers. Physical Review Applied. 20(4). 10 indexed citations
6.
Mulkers, Jeroen, et al.. (2023). Audio Classification with Skyrmion Reservoirs. SHILAP Revista de lepidopterología. 5(6). 20 indexed citations
7.
Rodrigues, Davi R., et al.. (2023). Voltage-Controlled High-Bandwidth Terahertz Oscillators Based on Antiferromagnets. Physical Review Letters. 131(15). 3 indexed citations
8.
Lee, Oscar, et al.. (2023). Perspective on unconventional computing using magnetic skyrmions. Applied Physics Letters. 122(26). 21 indexed citations
9.
Rodrigues, Davi R., Akshaykumar Salimath, Karin Everschor‐Sitte, & Kjetil M. D. Hals. (2022). Dzyaloshinskii-Moriya induced spin-transfer torques in kagome antiferromagnets. Physical review. B.. 105(17). 2 indexed citations
10.
Backes, D., L. S. I. Veiga, S. S. Dhesi, et al.. (2021). Readout of an antiferromagnetic spintronics system by strong exchange coupling of Mn2Au and Permalloy. Nature Communications. 12(1). 6539–6539. 24 indexed citations
11.
Hewel, Charlotte, Hristo Todorov, Susann Schweiger, et al.. (2021). Reliability of genomic variants across different next-generation sequencing platforms and bioinformatic processing pipelines. BMC Genomics. 22(1). 62–62. 6 indexed citations
12.
Rodrigues, Davi R., Akshaykumar Salimath, Karin Everschor‐Sitte, & Kjetil M. D. Hals. (2021). Spin-Wave Driven Bidirectional Domain Wall Motion in Kagome Antiferromagnets. Physical Review Letters. 127(15). 157203–157203. 10 indexed citations
13.
Rodrigues, Davi R., Karin Everschor‐Sitte, Susanne Gerber, & Illia Horenko. (2021). A deeper look into natural sciences with physics-based and data-driven measures. iScience. 24(3). 102171–102171. 5 indexed citations
14.
Everschor‐Sitte, Karin, et al.. (2020). Large surface magnetization in noncentrosymmetric antiferromagnets. Physical review. B.. 102(18). 3 indexed citations
15.
Grollier, Julie, Damien Querlioz, Kerem Y. Çamsarı, et al.. (2020). Neuromorphic spintronics. Nature Electronics. 3(7). 360–370. 681 indexed citations breakdown →
16.
Zázvorka, Jakub, Florian Jakobs, Daniel Heinze, et al.. (2019). Thermal skyrmion diffusion used in a reshuffler device. Nature Nanotechnology. 14(7). 658–661. 230 indexed citations
17.
Yamamoto, Kei, et al.. (2019). Topological Characterization of Classical Waves: The Topological Origin of Magnetostatic Surface Spin Waves. Physical Review Letters. 122(21). 217201–217201. 23 indexed citations
18.
Kim, Kyoung‐Whan, Seo-Won Lee, Jung‐Hwan Moon, et al.. (2019). Unidirectional Magnon-Driven Domain Wall Motion Due to the Interfacial Dzyaloshinskii-Moriya Interaction. Physical Review Letters. 122(14). 147202–147202. 10 indexed citations
19.
Hals, Kjetil M. D. & Karin Everschor‐Sitte. (2017). New Boundary-Driven Twist States in Systems with Broken Spatial Inversion Symmetry. Physical Review Letters. 119(12). 127203–127203. 22 indexed citations
20.
Adams, Terry, S. Mühlbauer, C. Pfleiderer, et al.. (2011). Long-Range Crystalline Nature of the Skyrmion Lattice in MnSi. Physical Review Letters. 107(21). 217206–217206. 102 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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