Mahamudul Hasan
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computer Vision and Pattern Recognition top 10%
- Oncology
- Epidemiology
- Co-authors
- Surajit Das BarmanAhmed Wasif RezaMd Sawkat AliTaskeed JabidMaheen IslamMohammad Rifat Ahmmad RashidMd Shamimur RahmanShabbir Ahmed
- Topics
- Recommender Systems and Techniques (11 papers)Smart Agriculture and AI (9 papers)COVID-19 diagnosis using AI (5 papers)
- Partner nations
- BangladeshUnited StatesAustralia
In The Last Decade
Mahamudul Hasan
46 papers receiving 305 citations
Peers
Comparison fields: 5 of 80
- Artificial Intelligence 107
- Information Systems 83
- Computer Vision and Pattern Recognition 71
- Oncology 68
- Epidemiology 29
Countries citing papers authored by Mahamudul Hasan
This map shows the geographic impact of Mahamudul 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 Mahamudul Hasan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mahamudul Hasan more than expected).
Fields of papers citing papers by Mahamudul Hasan
This network shows the impact of papers produced by Mahamudul 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 Mahamudul Hasan. The network helps show where Mahamudul Hasan may publish in the future.
Co-authorship network of co-authors of Mahamudul Hasan
This figure shows the co-authorship network connecting the top 25 collaborators of Mahamudul Hasan. A scholar is included among the top collaborators of Mahamudul Hasan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mahamudul Hasan. Mahamudul Hasan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 0 | |
| 10 | 8 | |
| 11 | 5 | |
| 12 | 0 | |
| 13 | 1 | |
| 14 | 5 | |
| 15 | 5 | |
| 16 | 4 | |
| 17 | 7 | |
| 18 | Response of short duration monsoon rice varieties to nitrogen fertilization. | 0 |
| 19 | 7 | |
| 20 | 16 |
About Mahamudul Hasan
Mahamudul Hasan is a scholar working on Health Informatics, Computer Vision and Pattern Recognition and Information Systems, having authored 58 papers that have together received 324 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (11 papers), Smart Agriculture and AI (9 papers) and COVID-19 diagnosis using AI (5 papers). The work is most often cited by research in Health Informatics (7 citations), Computer Science Applications (23 citations) and Information Systems (83 citations). Mahamudul Hasan has collaborated with scholars based in Bangladesh, United States and Australia. Frequent co-authors include Surajit Das Barman, Ahmed Wasif Reza, Md Sawkat Ali, Taskeed Jabid, Maheen Islam, Mohammad Rifat Ahmmad Rashid, Md Shamimur Rahman, Shabbir Ahmed, Mortuza Ali and A. B. M. Shawkat Ali. Their work appears in journals such as Heliyon, Frontiers in Public Health and Journal of the Saudi Society of Agricultural Sciences.
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.