Mohammad Anisur Rahaman
- Plant Science
- Computer Vision and Pattern Recognition
- Analytical Chemistry top 10%
- Artificial Intelligence
- Clinical Psychology
- Co-authors
- Eftekhar HossainMd. Al‐MamunFaiza ManzoorAkib Jayed IslamMd Shahidul IslamMd Nazmul IslamShazia RehmanErum Rehman
- Topics
- Antenna Design and Analysis (7 papers)Energy Harvesting in Wireless Networks (4 papers)AI in cancer detection (4 papers)
- Partner nations
- BangladeshChinaCambodia
In The Last Decade
Mohammad Anisur Rahaman
23 papers receiving 347 citations
Peers
Comparison fields: 5 of 94
- Plant Science 138
- Computer Vision and Pattern Recognition 55
- Analytical Chemistry 54
- Artificial Intelligence 45
- Clinical Psychology 32
Countries citing papers authored by Mohammad Anisur Rahaman
This map shows the geographic impact of Mohammad Anisur Rahaman'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 Mohammad Anisur Rahaman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Anisur Rahaman more than expected).
Fields of papers citing papers by Mohammad Anisur Rahaman
This network shows the impact of papers produced by Mohammad Anisur Rahaman. 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 Mohammad Anisur Rahaman. The network helps show where Mohammad Anisur Rahaman may publish in the future.
Co-authorship network of co-authors of Mohammad Anisur Rahaman
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Anisur Rahaman. A scholar is included among the top collaborators of Mohammad Anisur Rahaman 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 Mohammad Anisur Rahaman. Mohammad Anisur Rahaman 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 | 6 | |
| 3 | 56 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 5 | |
| 7 | IoT based medical assistant robot (Docto-Bot) | 3 |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 9 | |
| 11 | 3 | |
| 12 | 160 | |
| 13 | 22 | |
| 14 | 4 | |
| 15 | 8 | |
| 16 | 3 | |
| 17 | 23 | |
| 18 | 6 | |
| 19 | 6 | |
| 20 | 6 |
About Mohammad Anisur Rahaman
Mohammad Anisur Rahaman is a scholar working on Modeling and Simulation, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 25 papers that have together received 370 indexed citations. Recurring topics across this work include Antenna Design and Analysis (7 papers), Energy Harvesting in Wireless Networks (4 papers) and AI in cancer detection (4 papers). The work is most often cited by research in Analytical Chemistry (54 citations), Plant Science (138 citations) and Computer Vision and Pattern Recognition (55 citations). Mohammad Anisur Rahaman has collaborated with scholars based in Bangladesh, China and Cambodia. Frequent co-authors include Eftekhar Hossain, Md. Al‐Mamun, Faiza Manzoor, Akib Jayed Islam, Md Shahidul Islam, Md Nazmul Islam, Shazia Rehman, Erum Rehman, Md. Mahmudul Hasan and Nabanita Saha. Their work appears in journals such as Frontiers in Public Health, Healthcare and Frontiers in Sociology.
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.