Maryam Hasan

12 papers and 189 indexed citations i.

About

Maryam Hasan is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Maryam Hasan has authored 12 papers receiving a total of 189 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Information Systems and 1 paper in Molecular Biology. Recurrent topics in Maryam Hasan’s work include Sentiment Analysis and Opinion Mining (3 papers), Edcuational Technology Systems (2 papers) and Data Mining and Machine Learning Applications (2 papers). Maryam Hasan is often cited by papers focused on Sentiment Analysis and Opinion Mining (3 papers), Edcuational Technology Systems (2 papers) and Data Mining and Machine Learning Applications (2 papers). Maryam Hasan collaborates with scholars based in United States, Iran and Canada. Maryam Hasan's co-authors include Elke A. Rundensteiner, Emmanuel Agu, Mehrdad Hamidi, Maliheh Parsa, Samaneh Hashemikia, Shahriar Shahi, Saeed Rahimi, Majid Abdolrahimi, Dale Schuurmans and Yi Shi and has published in prestigious journals such as International Journal of Pharmaceutics, Tetrahedron Letters and Proceedings of the VLDB Endowment.

In The Last Decade

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

Fields of papers citing papers by Maryam Hasan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maryam Hasan

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025