Wahidur Rahman
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Industrial and Manufacturing Engineering top 10%
- Plant Science
- Electrical and Electronic Engineering
- Co-authors
- Mohammad Motiur RahmanRahabul IslamMd. Mahmodul HasanMuhammad Minoar HossainMir Mohammad AzadMd. Mahfuz RezaElias HossainMd Moinuddin
- Topics
- Smart Agriculture and AI (10 papers)COVID-19 diagnosis using AI (7 papers)IoT-based Smart Home Systems (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessSustainability
- Partner nations
- BangladeshSaudi ArabiaUnited States
In The Last Decade
Wahidur Rahman
34 papers receiving 516 citations
Peers
Comparison fields: 5 of 103
- Computer Vision and Pattern Recognition 93
- Artificial Intelligence 93
- Industrial and Manufacturing Engineering 92
- Plant Science 87
- Electrical and Electronic Engineering 85
Countries citing papers authored by Wahidur Rahman
This map shows the geographic impact of Wahidur Rahman'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 Wahidur Rahman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wahidur Rahman more than expected).
Fields of papers citing papers by Wahidur Rahman
This network shows the impact of papers produced by Wahidur Rahman. 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 Wahidur Rahman. The network helps show where Wahidur Rahman may publish in the future.
Co-authorship network of co-authors of Wahidur Rahman
This figure shows the co-authorship network connecting the top 25 collaborators of Wahidur Rahman. A scholar is included among the top collaborators of Wahidur Rahman 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 Wahidur Rahman. Wahidur Rahman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 11 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 3 | |
| 12 | 17 | |
| 13 | 7 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | 54 | |
| 18 | 13 | |
| 19 | 0 | |
| 20 | 5 |
About Wahidur Rahman
Wahidur Rahman is a scholar working on Health Information Management, Health Informatics and Analytical Chemistry, having authored 42 papers that have together received 550 indexed citations. Recurring topics across this work include Smart Agriculture and AI (10 papers), COVID-19 diagnosis using AI (7 papers) and IoT-based Smart Home Systems (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (92 citations), Health Informatics (9 citations) and Health Information Management (30 citations). Wahidur Rahman has collaborated with scholars based in Bangladesh, Saudi Arabia and United States. Frequent co-authors include Mohammad Motiur Rahman, Rahabul Islam, Md. Mahmodul Hasan, Muhammad Minoar Hossain, Mir Mohammad Azad, Md. Mahfuz Reza, Elias Hossain, Md Moinuddin, Mohammad Omar Faruq and Md. Selim Hossain. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sustainability.
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.