UNIFAC parameter table for prediction of liquid-liquid equilibriums
- Journal
- Industrial & Engineering Chemistry Process Design and Development
In The Last Decade
doi.org/10.1021/i200013a024 →Countries where authors are citing UNIFAC parameter table for prediction of liquid-liquid equilibriums
This map shows the geographic impact of UNIFAC parameter table for prediction of liquid-liquid equilibriums. 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 UNIFAC parameter table for prediction of liquid-liquid equilibriums with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites UNIFAC parameter table for prediction of liquid-liquid equilibriums more than expected).
Fields of papers citing UNIFAC parameter table for prediction of liquid-liquid equilibriums
This network shows the impact of UNIFAC parameter table for prediction of liquid-liquid equilibriums. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the UNIFAC parameter table for prediction of liquid-liquid equilibriums.
About UNIFAC parameter table for prediction of liquid-liquid equilibriums
This paper, published in 1981, received 705 indexed citations . Written by Thomas Magnussen, Peter Rasmussen and Aage Fredenslund covering the research area of Control and Systems Engineering and Statistical and Nonlinear Physics. It is primarily cited by scholars working on Biomedical Engineering (464 citations), Fluid Flow and Transfer Processes (335 citations) and Filtration and Separation (282 citations). Published in Industrial & Engineering Chemistry Process Design and Development.
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/i200013a024.