Bangladesh University of Business and Technology

395 papers and 3.3k indexed citations i.

About

In recent decades, authors affiliated with Bangladesh University of Business and Technology have published 395 papers, which have received a total of 3.3k indexed citations. Scholars at this organization have produced 92 papers in Artificial Intelligence, 81 papers in Electrical and Electronic Engineering and 42 papers in Information Systems on the topics of Smart Agriculture and AI (19 papers), AI in cancer detection (18 papers) and COVID-19 diagnosis using AI (15 papers). Their work is cited by papers focused on Electrical and Electronic Engineering (814 citations), Artificial Intelligence (635 citations) and Biomedical Engineering (466 citations). Authors at Bangladesh University of Business and Technology collaborate with scholars in Bangladesh, Saudi Arabia and United States and have published in prestigious journals including PLoS ONE, Advanced Functional Materials and Scientific Reports. Some of Bangladesh University of Business and Technology's most productive authors include M. F. Mridha, Md. Mohsin Kabir, Md. Sanwar Hossain, Md. Abdul Hamid, Abu Jahid, Muhammad Mostafa Monowar, Abu Quwsar Ohi, Md. Tanvir Hossaın, Md. Abdus Shahid and Khondoker Ziaul Islam.

In The Last Decade

Fields of papers published by authors at Bangladesh University of Business and Technology

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Bangladesh University of Business and Technology at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Bangladesh University of Business and Technology at the time of their publication.

Countries citing scholars working at Bangladesh University of Business and Technology

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Bangladesh University of Business and Technology. 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 papers produced at Bangladesh University of Business and Technology with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bangladesh University of Business and Technology 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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