Ionic Liquids and Deep Eutectic Mixtures: Sustainable Solvents for Extraction Processes
- Journal
- ChemSusChem
In The Last Decade
doi.org/10.1002/cssc.201301192 →Countries where authors are citing Ionic Liquids and Deep Eutectic Mixtures: Sustainable Solvents for Extraction Processes
This map shows the geographic impact of Ionic Liquids and Deep Eutectic Mixtures: Sustainable Solvents for Extraction Processes. 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 Ionic Liquids and Deep Eutectic Mixtures: Sustainable Solvents for Extraction Processes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ionic Liquids and Deep Eutectic Mixtures: Sustainable Solvents for Extraction Processes more than expected).
Fields of papers citing Ionic Liquids and Deep Eutectic Mixtures: Sustainable Solvents for Extraction Processes
This network shows the impact of Ionic Liquids and Deep Eutectic Mixtures: Sustainable Solvents for Extraction Processes. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Ionic Liquids and Deep Eutectic Mixtures: Sustainable Solvents for Extraction Processes.
About Ionic Liquids and Deep Eutectic Mixtures: Sustainable Solvents for Extraction Processes
This paper, published in 2014, received 361 indexed citations . Written by Francisco Pena‐Pereira and Jacek Namieśnik covering the research area of Mechanical Engineering, Analytical Chemistry and Catalysis. It is primarily cited by scholars working on Catalysis (226 citations), Biomedical Engineering (70 citations) and Analytical Chemistry (69 citations). Published in ChemSusChem.
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/10.1002/cssc.201301192.