Spatial beam self-cleaning in multimode fibres
Impact in
Classified as
- Journal
- Nature Photonics
In The Last Decade
doi.org/10.1038/nphoton.2017.32 →Countries where authors are citing Spatial beam self-cleaning in multimode fibres
This map shows the geographic impact of Spatial beam self-cleaning in multimode fibres. 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 Spatial beam self-cleaning in multimode fibres with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Spatial beam self-cleaning in multimode fibres more than expected).
Fields of papers citing Spatial beam self-cleaning in multimode fibres
This network shows the impact of Spatial beam self-cleaning in multimode fibres. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Spatial beam self-cleaning in multimode fibres.
About Spatial beam self-cleaning in multimode fibres
This paper, published in 2017, received 372 indexed citations . Written by Katarzyna Krupa, Alessandro Tonello, Badr Mohamed Ibrahim Shalaby, Marc Fabert, Alain Barthélémy, Guy Millot, Stefan W. Wabnitz and Vincent Couderc covering the research area of Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. It is primarily cited by scholars working on Atomic and Molecular Physics, and Optics (320 citations), Electrical and Electronic Engineering (293 citations), Statistical and Nonlinear Physics (45 citations), Biomedical Engineering (20 citations) and Acoustics and Ultrasonics (19 citations). Published in Nature Photonics.
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/nphoton.2017.32.