Plasmonic Color Palettes for Photorealistic Printing with Aluminum Nanostructures
- Journal
- Nano Letters
In The Last Decade
doi.org/10.1021/nl501460x →Countries where authors are citing Plasmonic Color Palettes for Photorealistic Printing with Aluminum Nanostructures
This map shows the geographic impact of Plasmonic Color Palettes for Photorealistic Printing with Aluminum Nanostructures. 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 Plasmonic Color Palettes for Photorealistic Printing with Aluminum Nanostructures with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Plasmonic Color Palettes for Photorealistic Printing with Aluminum Nanostructures more than expected).
Fields of papers citing Plasmonic Color Palettes for Photorealistic Printing with Aluminum Nanostructures
This network shows the impact of Plasmonic Color Palettes for Photorealistic Printing with Aluminum Nanostructures. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Plasmonic Color Palettes for Photorealistic Printing with Aluminum Nanostructures.
About Plasmonic Color Palettes for Photorealistic Printing with Aluminum Nanostructures
This paper, published in 2014, received 500 indexed citations . Written by Shawn J. Tan, Lei Zhang, Di Zhu, Xiao Ming Goh, Ying Min Wang, Karthik Kumar, Cheng‐Wei Qiu and Joel K. W. Yang covering the research area of Electronic, Optical and Magnetic Materials and Biomedical Engineering. It is primarily cited by scholars working on Electronic, Optical and Magnetic Materials (358 citations), Biomedical Engineering (336 citations) and Atomic and Molecular Physics, and Optics (224 citations). Published in Nano Letters.
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/10.1021/nl501460x.