Metal Ion Binding to Humic Substances: Application of the Non-Ideal Competitive Adsorption Model
Countries where authors are citing Metal Ion Binding to Humic Substances: Application of the Non-Ideal Competitive Adsorption Model
This map shows the geographic impact of Metal Ion Binding to Humic Substances: Application of the Non-Ideal Competitive Adsorption Model. 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 Metal Ion Binding to Humic Substances: Application of the Non-Ideal Competitive Adsorption Model with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Metal Ion Binding to Humic Substances: Application of the Non-Ideal Competitive Adsorption Model more than expected).
Fields of papers citing Metal Ion Binding to Humic Substances: Application of the Non-Ideal Competitive Adsorption Model
This network shows the impact of Metal Ion Binding to Humic Substances: Application of the Non-Ideal Competitive Adsorption Model. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Metal Ion Binding to Humic Substances: Application of the Non-Ideal Competitive Adsorption Model.
About Metal Ion Binding to Humic Substances: Application of the Non-Ideal Competitive Adsorption Model
This paper, published in 1995, received 526 indexed citations . Written by Marc F. Benedetti, Christopher J. Milne, David G. Kinniburgh, W.H. van Riemsdijk and Luuk K. Koopal covering the research area of Environmental Chemistry and Industrial and Manufacturing Engineering. It is primarily cited by scholars working on Pollution (217 citations), Environmental Chemistry (130 citations) and Water Science and Technology (116 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/es00002a022.