Critical heat flux maxima during boiling crisis on textured surfaces
- Journal
- Nature Communications
In The Last Decade
doi.org/10.1038/ncomms9247 →Countries where authors are citing Critical heat flux maxima during boiling crisis on textured surfaces
This map shows the geographic impact of Critical heat flux maxima during boiling crisis on textured surfaces. 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 Critical heat flux maxima during boiling crisis on textured surfaces with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Critical heat flux maxima during boiling crisis on textured surfaces more than expected).
Fields of papers citing Critical heat flux maxima during boiling crisis on textured surfaces
This network shows the impact of Critical heat flux maxima during boiling crisis on textured surfaces. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Critical heat flux maxima during boiling crisis on textured surfaces.
About Critical heat flux maxima during boiling crisis on textured surfaces
This paper, published in 2015, received 354 indexed citations . Written by Navdeep Singh Dhillon, Jacopo Buongiorno and Kripa K. Varanasi covering the research area of Mechanical Engineering. It is primarily cited by scholars working on Mechanical Engineering (282 citations), Computational Mechanics (209 citations) and Surfaces, Coatings and Films (59 citations). Published in Nature Communications.
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/ncomms9247.