Rangamati Science and Technology University
Impact in
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- Artificial Intelligence in Healthcare
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- Hate Speech and Cyberbullying Detection
- Sentiment Analysis and Opinion Mining
- Text and Document Classification Technologies
Papers in
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- Artificial Intelligence in Healthcare 22
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- Hate Speech and Cyberbullying Detection 12
- Sentiment Analysis and Opinion Mining 10
- Top scholars
- Tanjim MahmudKarl AnderssonMohammad Shahadat HossainMichal E. PtaszynskiDhiman SarmaFumito MasuiSohrab HossainKoushick Barua
- Journals
- IEEE Access (7 papers)IEEE Sensors Journal (4 papers)Egyptian Informatics Journal (2 papers)Scientific Reports (2 papers)Journal of King Saud University - Computer and Information Sciences (2 papers)
- Partner nations
- BangladeshSwedenUzbekistan
In The Last Decade
Rangamati Science and Technology University
207 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 110
- Health Information Management 238
- Artificial Intelligence 741
- Information Systems 499
- Human-Computer Interaction 71
- Computer Vision and Pattern Recognition 219
Countries citing scholars working at Rangamati Science and Technology University
This map shows the geographic impact of research produced by authors working at Rangamati Science and Technology University. 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 Rangamati Science and Technology University with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rangamati Science and Technology University more than expected).
Fields of papers published by authors at Rangamati Science and Technology University
This network shows the impact of papers affiliated with Rangamati Science and Technology University 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 Rangamati Science and Technology University at the time of their publication.
About Rangamati Science and Technology University
In recent decades, authors affiliated with Rangamati Science and Technology University have published 265 papers, which have received a total of 2.9k indexed citations . Scholars at this organization have produced 22 papers in Health Information Management, 51 papers in Artificial Intelligence, 29 papers in Computer Vision and Pattern Recognition, 4 papers in Forestry and 1 paper in Business and International Management on the topics of Artificial Intelligence in Healthcare (22 papers), Smart Agriculture and AI (13 papers), Hate Speech and Cyberbullying Detection (12 papers), Spam and Phishing Detection (11 papers), Sentiment Analysis and Opinion Mining (10 papers), Face recognition and analysis (7 papers), Misinformation and Its Impacts (7 papers) and Advanced Neural Network Applications (7 papers). Their work is cited by papers focused on Health Information Management (238 citations), Artificial Intelligence (741 citations), Information Systems (499 citations), Human-Computer Interaction (71 citations) and Computer Vision and Pattern Recognition (219 citations). Authors at Rangamati Science and Technology University collaborate with scholars in Bangladesh, Sweden and Uzbekistan and have published in prestigious journals including IEEE Access, IEEE Sensors Journal, Egyptian Informatics Journal, Scientific Reports and Journal of King Saud University - Computer and Information Sciences. Some of Rangamati Science and Technology University's most productive authors include Tanjim Mahmud, Karl Andersson, Mohammad Shahadat Hossain, Michal E. Ptaszynski, Dhiman Sarma, Fumito Masui, Sohrab Hossain, Koushick Barua, Mohammad Shahadat Hossain and Nahed Sharmen.
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.