A New Method for Water Desalination Using Microbial Desalination Cells
In The Last Decade
doi.org/10.1021/es901950j →Countries where authors are citing A New Method for Water Desalination Using Microbial Desalination Cells
This map shows the geographic impact of A New Method for Water Desalination Using Microbial Desalination Cells. 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 A New Method for Water Desalination Using Microbial Desalination Cells with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A New Method for Water Desalination Using Microbial Desalination Cells more than expected).
Fields of papers citing A New Method for Water Desalination Using Microbial Desalination Cells
This network shows the impact of A New Method for Water Desalination Using Microbial Desalination Cells. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the A New Method for Water Desalination Using Microbial Desalination Cells.
About A New Method for Water Desalination Using Microbial Desalination Cells
This paper, published in 2009, received 609 indexed citations . Written by Xiaoxin Cao, Xia Huang, Peng Liang, Kang Xiao, Yingjun Zhou, Xiaoyuan Zhang and Bruce E. Logan covering the research area of Electrical and Electronic Engineering, Biomedical Engineering and Environmental Engineering. It is primarily cited by scholars working on Environmental Engineering (529 citations), Biomedical Engineering (290 citations) and Electrical and Electronic Engineering (285 citations). Published in Environmental Science & Technology.
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/es901950j.