High Sensitivity Gas Detection Using a Macroscopic Three-Dimensional Graphene Foam Network
- Journal
- Scientific Reports
In The Last Decade
doi.org/10.1038/srep00166 →Countries where authors are citing High Sensitivity Gas Detection Using a Macroscopic Three-Dimensional Graphene Foam Network
This map shows the geographic impact of High Sensitivity Gas Detection Using a Macroscopic Three-Dimensional Graphene Foam Network. 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 High Sensitivity Gas Detection Using a Macroscopic Three-Dimensional Graphene Foam Network with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites High Sensitivity Gas Detection Using a Macroscopic Three-Dimensional Graphene Foam Network more than expected).
Fields of papers citing High Sensitivity Gas Detection Using a Macroscopic Three-Dimensional Graphene Foam Network
This network shows the impact of High Sensitivity Gas Detection Using a Macroscopic Three-Dimensional Graphene Foam Network. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the High Sensitivity Gas Detection Using a Macroscopic Three-Dimensional Graphene Foam Network.
About High Sensitivity Gas Detection Using a Macroscopic Three-Dimensional Graphene Foam Network
This paper, published in 2011, received 498 indexed citations . Written by Fazel Yavari, Zongping Chen, Abhay V. Thomas, Wencai Ren, Hui–Ming Cheng and Nikhil Koratkar covering the research area of Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering. It is primarily cited by scholars working on Electrical and Electronic Engineering (301 citations), Materials Chemistry (289 citations) and Biomedical Engineering (199 citations). Published in Scientific Reports.
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/srep00166.