Md. Mahmodul Hasan
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging
- Industrial and Manufacturing Engineering top 10%
- Co-authors
- Mohammad Motiur RahmanWahidur RahmanRahabul IslamMd. Mahfuz RezaNazrul IslamMuhammad Minoar HossainS. M. Abu NayemMd. Mahedi Hasan
- Topics
- Colorectal Cancer Screening and Detection (3 papers)IoT-based Smart Home Systems (3 papers)Radiomics and Machine Learning in Medical Imaging (2 papers)
- Cited by
- Industrial and Manufacturing EngineeringHealth InformaticsComputer Vision and Pattern Recognition
- Partner nations
- BangladeshSaudi ArabiaAustralia
In The Last Decade
Md. Mahmodul Hasan
16 papers receiving 550 citations
Peers
Comparison fields: 5 of 108
- Computer Vision and Pattern Recognition 108
- Electrical and Electronic Engineering 107
- Artificial Intelligence 104
- Radiology, Nuclear Medicine and Imaging 97
- Industrial and Manufacturing Engineering 88
Countries citing papers authored by Md. Mahmodul Hasan
This map shows the geographic impact of Md. Mahmodul 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 Md. Mahmodul Hasan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Md. Mahmodul Hasan more than expected).
Fields of papers citing papers by Md. Mahmodul Hasan
This network shows the impact of papers produced by Md. Mahmodul 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 Md. Mahmodul Hasan. The network helps show where Md. Mahmodul Hasan may publish in the future.
Co-authorship network of co-authors of Md. Mahmodul Hasan
This figure shows the co-authorship network connecting the top 25 collaborators of Md. Mahmodul Hasan. A scholar is included among the top collaborators of Md. Mahmodul 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 Md. Mahmodul Hasan. Md. Mahmodul 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 | 21 | |
| 3 | 14 | |
| 4 | 21 | |
| 5 | 10 | |
| 6 | 59 | |
| 7 | 10 | |
| 8 | 23 | |
| 9 | 17 | |
| 10 | 43 | |
| 11 | 32 | |
| 12 | 38 | |
| 13 | 165 | |
| 14 | 11 | |
| 15 | 70 | |
| 16 | 24 | |
| 17 | 22 |
About Md. Mahmodul Hasan
Md. Mahmodul Hasan is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Critical Care and Intensive Care Medicine, having authored 17 papers that have together received 580 indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (3 papers), IoT-based Smart Home Systems (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (88 citations), Health Informatics (10 citations) and Computer Vision and Pattern Recognition (108 citations). Md. Mahmodul Hasan has collaborated with scholars based in Bangladesh, Saudi Arabia and Australia. Frequent co-authors include Mohammad Motiur Rahman, Wahidur Rahman, Rahabul Islam, Md. Mahfuz Reza, Nazrul Islam, Muhammad Minoar Hossain, S. M. Abu Nayem, Md. Mahedi Hasan, Mohammad Ali Moni and Md. Anwar Hussen Wadud. Their work appears in journals such as Molecules, Computers in Biology and Medicine and Arabian Journal of Chemistry.
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.