Recent advances in ion selectivity with capacitive deionization
Countries where authors are citing Recent advances in ion selectivity with capacitive deionization
This map shows the geographic impact of Recent advances in ion selectivity with capacitive deionization. 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 Recent advances in ion selectivity with capacitive deionization with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Recent advances in ion selectivity with capacitive deionization more than expected).
Fields of papers citing Recent advances in ion selectivity with capacitive deionization
This network shows the impact of Recent advances in ion selectivity with capacitive deionization. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Recent advances in ion selectivity with capacitive deionization.
About Recent advances in ion selectivity with capacitive deionization
This paper, published in 2021, received 383 indexed citations . Written by Jayaruwan Gunathilake Gamaethiralalage, Kaustub Singh, Sevil Sahin, Jeyong Yoon, Menachem Elimelech, Matthew E. Suss, Peng Liang, P. M. Biesheuvel, Rafael L. Zornitta and Louis C. P. M. de Smet covering the research area of Water Science and Technology, Biomedical Engineering and Electrical and Electronic Engineering. It is primarily cited by scholars working on Biomedical Engineering (332 citations), Water Science and Technology (230 citations) and Electrical and Electronic Engineering (221 citations). Published in Energy & Environmental Science.
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/10.1039/d0ee03145c.