Abstract
Due to its severe ecological effects worldwide, heavy metals pollution is a serious issue. Even at low levels in the environment, heavy metals bioaccumulate in food chains will have an adverse effect on all life forms that can not be reserved and when present in water with an excess number, are a key risk for aquatic life. Environmentally friendly method to remove dangerous levels of heavy metals from the contaminated environment is phytoremediation and computational modelling to predict heavy metal removal with phytoremediation has become more important in recent years. Accordingly, the aim of the study is to identify the most significant journal in terms of cited papers, authors, institutions, and countries using VOSviewer software to map graphically the bibliographic material by employing bibliographic coupling and co-citation from all the document published in the journal between 1999 and 2023 using Scopus database. Phytoremediation, heavy metals, and modelling used as hot research topic keywords. The structured information could be useful for identifying research hotspots and gaps in this filed and understand research trends.
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