Rifat Shahriyar

22 papers and 232 indexed citations i.

About

Rifat Shahriyar is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Rifat Shahriyar has authored 22 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Information Systems and 3 papers in Signal Processing. Recurrent topics in Rifat Shahriyar’s work include Natural Language Processing Techniques (6 papers), Topic Modeling (5 papers) and Software Engineering Research (3 papers). Rifat Shahriyar is often cited by papers focused on Natural Language Processing Techniques (6 papers), Topic Modeling (5 papers) and Software Engineering Research (3 papers). Rifat Shahriyar collaborates with scholars based in Bangladesh, United States and Canada. Rifat Shahriyar's co-authors include Anindya Iqbal, Abhik Bhattacharjee, M. Sohel Rahman, Partha Chakraborty, Yuan-Fang Li, Yong‐Bin Kang, Amiangshu Bosu, Md. Saiful Islam, Gias Uddin and Wasi Uddin Ahmad and has published in prestigious journals such as IEEE Transactions on Cybernetics, IEEE Transactions on Knowledge and Data Engineering and Heliyon.

In The Last Decade

Co-authorship network of co-authors of Rifat Shahriyar i

Fields of papers citing papers by Rifat Shahriyar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rifat Shahriyar

Since Specialization
Citations

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