Superhydrophobic Surfaces Prepared by Microstructuring of Silicon Using a Femtosecond Laser
- Journal
- Langmuir
In The Last Decade
doi.org/10.1021/la053374k →Countries where authors are citing Superhydrophobic Surfaces Prepared by Microstructuring of Silicon Using a Femtosecond Laser
This map shows the geographic impact of Superhydrophobic Surfaces Prepared by Microstructuring of Silicon Using a Femtosecond Laser. 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 Superhydrophobic Surfaces Prepared by Microstructuring of Silicon Using a Femtosecond Laser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Superhydrophobic Surfaces Prepared by Microstructuring of Silicon Using a Femtosecond Laser more than expected).
Fields of papers citing Superhydrophobic Surfaces Prepared by Microstructuring of Silicon Using a Femtosecond Laser
This network shows the impact of Superhydrophobic Surfaces Prepared by Microstructuring of Silicon Using a Femtosecond Laser. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Superhydrophobic Surfaces Prepared by Microstructuring of Silicon Using a Femtosecond Laser.
About Superhydrophobic Surfaces Prepared by Microstructuring of Silicon Using a Femtosecond Laser
This paper, published in 2006, received 382 indexed citations . Written by Tommaso Baldacchini, James E. Carey, Ming Zhou and Eric Mazur covering the research area of Surfaces, Coatings and Films, Mechanics of Materials and Aerospace Engineering. It is primarily cited by scholars working on Surfaces, Coatings and Films (242 citations), Computational Mechanics (194 citations) and Mechanics of Materials (175 citations). Published in Langmuir.
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/la053374k.