Sadia Sharmin

13 papers and 144 indexed citations i.

About

Sadia Sharmin is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Sadia Sharmin has authored 13 papers receiving a total of 144 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Information Systems and 2 papers in Molecular Biology. Recurrent topics in Sadia Sharmin’s work include Sentiment Analysis and Opinion Mining (2 papers), Text and Document Classification Technologies (2 papers) and Internet Traffic Analysis and Secure E-voting (2 papers). Sadia Sharmin is often cited by papers focused on Sentiment Analysis and Opinion Mining (2 papers), Text and Document Classification Technologies (2 papers) and Internet Traffic Analysis and Secure E-voting (2 papers). Sadia Sharmin collaborates with scholars based in Bangladesh, South Korea and United States. Sadia Sharmin's co-authors include Oksam Chae, Mohammad Shoyaib, Amin Ahsan Ali, M.N. Haque, Abu Ashfaqur Sajib, Md. Azad Hossain, Saddam Hossain and Md. Shariful Islam and has published in prestigious journals such as PLoS ONE, Pattern Recognition and AI & Society.

In The Last Decade

Co-authorship network of co-authors of Sadia Sharmin i

Fields of papers citing papers by Sadia Sharmin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sadia Sharmin. 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 Sadia Sharmin. The network helps show where Sadia Sharmin may publish in the future.

Countries citing papers authored by Sadia Sharmin

Since Specialization
Citations

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