Maryam Kermani

7 papers and 766 indexed citations i.

About

Maryam Kermani is a scholar working on Pollution, Artificial Intelligence and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Maryam Kermani has authored 7 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pollution, 2 papers in Artificial Intelligence and 2 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Maryam Kermani’s work include Heavy metals in environment (5 papers), Geochemistry and Geologic Mapping (2 papers) and Heavy Metal Exposure and Toxicity (2 papers). Maryam Kermani is often cited by papers focused on Heavy metals in environment (5 papers), Geochemistry and Geologic Mapping (2 papers) and Heavy Metal Exposure and Toxicity (2 papers). Maryam Kermani collaborates with scholars based in Iran and China. Maryam Kermani's co-authors include Farid Moore, Behnam Keshavarzi, Nemat Jaafarzadeh, Naghmeh Soltani, Ali Esmaeili, Meisam Rastegari Mehr, Ahmadreza Lahijanzadeh, Reza Seyed Sharifi, Behnam Keshavarzi and Fatemeh Rastmanesh and has published in prestigious journals such as The Science of The Total Environment, CATENA and Environmental Monitoring and Assessment.

In The Last Decade

Co-authorship network of co-authors of Maryam Kermani i

Fields of papers citing papers by Maryam Kermani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maryam Kermani. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Maryam Kermani. The network helps show where Maryam Kermani may publish in the future.

Countries citing papers authored by Maryam Kermani

Since Specialization
Citations

This map shows the geographic impact of Maryam Kermani's research. 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 Maryam Kermani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maryam Kermani more than expected).

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.

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2025