Md Abul Bashar
Impact in
- Artificial Intelligence top 10%
- Hate Speech and Cyberbullying Detection
- Topic Modeling
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Text and Document Classification Technologies
Papers in
-
- Topic Modeling 7
- Advanced Text Analysis Techniques 4
- Hate Speech and Cyberbullying Detection 4
- Text and Document Classification Technologies 2
- Quantum Information and Cryptography 2
- Quantum Computing Algorithms and Architecture 2
- Co-authors
- Richi Nayak (16 shared papers)Thirunavukarasu Balasubramaniam (4 shared papers)Nicolas Suzor (1 shared paper)Yuefeng Li (4 shared papers)Abby Cathcart (1 shared paper)Yang Gao (2 shared papers)Mahinthan Chandramohan (1 shared paper)Raymond Y.K. Lau (1 shared paper)
- Journals
- Social Network Analysis and Mining (3 papers)Intelligent Systems with Applications (2 papers)ACM Transactions on Intelligent Systems and Technology (2 papers)Pattern Recognition (2 papers)Data Mining and Knowledge Discovery (1 paper)
- Partner nations
- AustraliaChinaBangladesh
In The Last Decade
Md Abul Bashar
21 papers receiving 198 citations
Peers
Comparison fields: 5 of 65
- Computational Mathematics 6
- Artificial Intelligence 112
- Computer Vision and Pattern Recognition 58
- Urban Studies 11
- General Social Sciences 6
Countries citing papers authored by Md Abul Bashar
This map shows the geographic impact of Md Abul Bashar'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 Md Abul Bashar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Md Abul Bashar more than expected).
Fields of papers citing papers by Md Abul Bashar
This network shows the impact of papers produced by Md Abul Bashar. 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 Md Abul Bashar. The network helps show where Md Abul Bashar may publish in the future.
Co-authors
The 19 scholars most cited alongside Md Abul Bashar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 60 | |
| 2 | 2020 | 23 | |
| 3 | 2021 | 17 | |
| 4 | 2021 | 13 | |
| 5 | 2022 | 13 | |
| 6 | 2021 | 12 | |
| 7 | 2017 | 11 | |
| 8 | 2022 | 6 | |
| 9 | 2020 | 6 | |
| 10 | 2023 | 6 | |
| 11 | 2018 | 6 | |
| 12 | 2009 | 6 | |
| 13 | 2023 | 4 | |
| 14 | 2024 | 4 | |
| 15 | 2023 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2017 | 3 | |
| 18 | 2016 | 2 | |
| 19 | 2025 | 1 | |
| 20 | 2023 | 1 |
About Md Abul Bashar
Md Abul Bashar is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics, having authored 23 papers that have together received 203 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Advanced Text Analysis Techniques (4 papers), Hate Speech and Cyberbullying Detection (4 papers), Text and Document Classification Technologies (2 papers), Quantum Mechanics and Applications (2 papers), Quantum Information and Cryptography (2 papers), Time Series Analysis and Forecasting (2 papers) and Quantum Computing Algorithms and Architecture (2 papers). The work is most often cited by research in Computational Mathematics (6 citations), Artificial Intelligence (112 citations), Computer Vision and Pattern Recognition (58 citations), Urban Studies (11 citations) and General Social Sciences (6 citations). Md Abul Bashar has collaborated with scholars based in Australia, China and Bangladesh. Frequent co-authors include Richi Nayak, Thirunavukarasu Balasubramaniam, Nicolas Suzor, Yuefeng Li, Abby Cathcart, Yang Gao, Mahinthan Chandramohan, Raymond Y.K. Lau, Yue Xu and Rajibul Islam. Their work appears in journals such as Social Network Analysis and Mining, Intelligent Systems with Applications, ACM Transactions on Intelligent Systems and Technology, Pattern Recognition and Data Mining and Knowledge Discovery.
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.