Mohammad Rezaul Islam
- Plant Science top 10%
- Electrical and Electronic Engineering
- Molecular Biology
- Computer Vision and Pattern Recognition
- Ecology, Evolution, Behavior and Systematics
- Co-authors
- Longxing TaoGuangyan LiWeimeng FuBaohua FengGuanfu FuQianyu JinTingting ChenCai‐Xia Zhang
- Topics
- IoT-based Smart Home Systems (3 papers)Smart Grid Energy Management (2 papers)Energy Load and Power Forecasting (2 papers)
- Journals
- BMC Plant BiologyRicePhotonics
- Partner nations
- BangladeshChinaUnited States
In The Last Decade
Mohammad Rezaul Islam
17 papers receiving 328 citations
Peers
Comparison fields: 5 of 67
- Plant Science 175
- Electrical and Electronic Engineering 64
- Molecular Biology 59
- Computer Vision and Pattern Recognition 27
- Ecology, Evolution, Behavior and Systematics 24
Countries citing papers authored by Mohammad Rezaul Islam
This map shows the geographic impact of Mohammad Rezaul Islam'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 Rezaul Islam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Rezaul Islam more than expected).
Fields of papers citing papers by Mohammad Rezaul Islam
This network shows the impact of papers produced by Mohammad Rezaul Islam. 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 Rezaul Islam. The network helps show where Mohammad Rezaul Islam may publish in the future.
Co-authorship network of co-authors of Mohammad Rezaul Islam
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Rezaul Islam. A scholar is included among the top collaborators of Mohammad Rezaul Islam 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 Rezaul Islam. Mohammad Rezaul Islam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 31 | |
| 5 | 3 | |
| 6 | 9 | |
| 7 | 9 | |
| 8 | 57 | |
| 9 | 27 | |
| 10 | 129 | |
| 11 | 25 | |
| 12 | 4 | |
| 13 | 3 | |
| 14 | 4 | |
| 15 | 16 | |
| 16 | 7 | |
| 17 | Demutualization: Pros and Cons for Dhaka Stock Exchange (DSE) | 4 |
About Mohammad Rezaul Islam
Mohammad Rezaul Islam is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Media Technology, having authored 17 papers that have together received 339 indexed citations. Recurring topics across this work include IoT-based Smart Home Systems (3 papers), Smart Grid Energy Management (2 papers) and Energy Load and Power Forecasting (2 papers). The work is most often cited by research in Plant Science (175 citations), Horticulture (2 citations) and Human-Computer Interaction (10 citations). Mohammad Rezaul Islam has collaborated with scholars based in Bangladesh, China and United States. Frequent co-authors include Longxing Tao, Guangyan Li, Weimeng Fu, Baohua Feng, Guanfu Fu, Qianyu Jin, Tingting Chen, Cai‐Xia Zhang, Tingting Chen and Mohammad Monirujjaman Khan. Their work appears in journals such as BMC Plant Biology, Rice and Photonics.
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.