Direct observation of the skyrmion Hall effect

881 indexed citations
published 2016
Authors
Wanjun JiangXichao ZhangGuoqiang YuWei ZhangXiao Wang

Countries where authors are citing Direct observation of the skyrmion Hall effect

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Citations

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

Fields of papers citing Direct observation of the skyrmion Hall effect

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Direct observation of the skyrmion Hall effect. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Direct observation of the skyrmion Hall effect.

About Direct observation of the skyrmion Hall effect

This paper, published in 2016, received 881 indexed citations . Written by Wanjun Jiang, Xichao Zhang, Guoqiang Yu, Wei Zhang, Xiao Wang, M. Benjamin Jungfleisch, John E. Pearson, Xuemei Cheng, Olle Heinonen and Kang L. Wang covering the research area of Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Condensed Matter Physics. It is primarily cited by scholars working on Atomic and Molecular Physics, and Optics (822 citations), Condensed Matter Physics (432 citations) and Electronic, Optical and Magnetic Materials (361 citations). Published in Nature Physics.

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.

This paper is also available at doi.org/10.1038/nphys3883.

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