Strong magnetic response of submicron Silicon particles in the infrared
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doi.org/w22698972 →Countries where authors are citing Strong magnetic response of submicron Silicon particles in the infrared
This map shows the geographic impact of Strong magnetic response of submicron Silicon particles in the infrared. 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 Strong magnetic response of submicron Silicon particles in the infrared with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Strong magnetic response of submicron Silicon particles in the infrared more than expected).
Fields of papers citing Strong magnetic response of submicron Silicon particles in the infrared
This network shows the impact of Strong magnetic response of submicron Silicon particles in the infrared. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Strong magnetic response of submicron Silicon particles in the infrared.
About Strong magnetic response of submicron Silicon particles in the infrared
This paper, published in 2011, received 456 indexed citations . Written by Aitzol García‐Etxarri, R. Gómez-Medina, Cefe López, Javier Aizpurua and M. Nieto‐Vesperinas covering the research area of Electronic, Optical and Magnetic Materials, Biomedical Engineering and Aerospace Engineering. It is primarily cited by scholars working on Biomedical Engineering (370 citations), Electronic, Optical and Magnetic Materials (302 citations), Atomic and Molecular Physics, and Optics (253 citations), Electrical and Electronic Engineering (94 citations) and Aerospace Engineering (68 citations). Published in reroDoc Digital Library.
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/w22698972.