Md Mofijul Islam
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Molecular Biology
- Co-authors
- Tariq IqbalMohammad Mehedi HassanM. A. MatinMd. Abdur RazzaqueBiao SongWalaa N. IsmailMeysam HaghshenasShawkat Imam Shakil
- Topics
- Human Pose and Action Recognition (4 papers)Energy Harvesting in Wireless Networks (3 papers)Energy Efficient Wireless Sensor Networks (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Networks and CommunicationsHuman-Computer Interaction
- Partner nations
- United StatesBangladeshCanada
In The Last Decade
Md Mofijul Islam
28 papers receiving 348 citations
Peers
Comparison fields: 5 of 90
- Computer Vision and Pattern Recognition 105
- Artificial Intelligence 96
- Computer Networks and Communications 95
- Electrical and Electronic Engineering 70
- Molecular Biology 33
Countries citing papers authored by Md Mofijul Islam
This map shows the geographic impact of Md Mofijul 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 Md Mofijul Islam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Md Mofijul Islam more than expected).
Fields of papers citing papers by Md Mofijul Islam
This network shows the impact of papers produced by Md Mofijul 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 Md Mofijul Islam. The network helps show where Md Mofijul Islam may publish in the future.
Co-authorship network of co-authors of Md Mofijul Islam
This figure shows the co-authorship network connecting the top 25 collaborators of Md Mofijul Islam. A scholar is included among the top collaborators of Md Mofijul 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 Md Mofijul Islam. Md Mofijul 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 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 11 | |
| 8 | 25 | |
| 9 | 4 | |
| 10 | 69 | |
| 11 | 30 | |
| 12 | 24 | |
| 13 | 52 | |
| 14 | 0 | |
| 15 | 8 | |
| 16 | 32 | |
| 17 | 5 | |
| 18 | 2 | |
| 19 | 2 | |
| 20 | 8 |
About Md Mofijul Islam
Md Mofijul Islam is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Experimental and Cognitive Psychology, having authored 30 papers that have together received 369 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (4 papers), Energy Harvesting in Wireless Networks (3 papers) and Energy Efficient Wireless Sensor Networks (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (105 citations), Computer Networks and Communications (95 citations) and Human-Computer Interaction (17 citations). Md Mofijul Islam has collaborated with scholars based in United States, Bangladesh and Canada. Frequent co-authors include Tariq Iqbal, Mohammad Mehedi Hassan, M. A. Matin, Md. Abdur Razzaque, Biao Song, Walaa N. Ismail, Meysam Haghshenas, Shawkat Imam Shakil, Md. Abdur Razzaque and Parisa Bayati. Their work appears in journals such as IEEE Access, Proteins Structure Function and Bioinformatics and IEEE Electron Device Letters.
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.