Mahmudur Rahman
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Statistical and Nonlinear Physics top 5%
- Computer Vision and Pattern Recognition top 10%
- Computational Theory and Mathematics top 10%
- Co-authors
- Mohammad Al HasanMansurul BhuiyanA.H.M.A. RahimTokunbo OgunfunmiAshraful IslamRashedur M. RahmanPrabir BhattacharyaNuh Alpaslan
- Topics
- Advanced DC-DC Converters (8 papers)Multilevel Inverters and Converters (7 papers)Complex Network Analysis Techniques (6 papers)
- Journals
- Applied Physics LettersIEEE Transactions on Electron DevicesIEEE Transactions on Knowledge and Data Engineering
- Partner nations
- United StatesBangladeshCanada
In The Last Decade
Mahmudur Rahman
46 papers receiving 440 citations
Peers
Comparison fields: 5 of 81
- Electrical and Electronic Engineering 148
- Artificial Intelligence 132
- Statistical and Nonlinear Physics 113
- Computer Vision and Pattern Recognition 82
- Computational Theory and Mathematics 43
Countries citing papers authored by Mahmudur Rahman
This map shows the geographic impact of Mahmudur 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 Mahmudur Rahman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mahmudur Rahman more than expected).
Fields of papers citing papers by Mahmudur Rahman
This network shows the impact of papers produced by Mahmudur 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 Mahmudur Rahman. The network helps show where Mahmudur Rahman may publish in the future.
Co-authorship network of co-authors of Mahmudur Rahman
This figure shows the co-authorship network connecting the top 25 collaborators of Mahmudur Rahman. A scholar is included among the top collaborators of Mahmudur 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 Mahmudur Rahman. Mahmudur 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 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | A Cross Modal Deep Learning Based Approach for Caption Prediction and Concept Detection by CS Morgan State. | 3 |
| 9 | Pavement Maintenance Decision Optimization Using a Novel Discrete Bare-Bones Particle Swarm Algorithm | 3 |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 6 | |
| 13 | 20 | |
| 14 | 13 | |
| 15 | 31 | |
| 16 | 56 | |
| 17 | 1 | |
| 18 | 10 | |
| 19 | 52 | |
| 20 | 0 |
About Mahmudur Rahman
Mahmudur Rahman is a scholar working on Architecture, Energy Engineering and Power Technology and Statistical and Nonlinear Physics, having authored 55 papers that have together received 463 indexed citations. Recurring topics across this work include Advanced DC-DC Converters (8 papers), Multilevel Inverters and Converters (7 papers) and Complex Network Analysis Techniques (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (113 citations), Architecture (13 citations) and Energy Engineering and Power Technology (24 citations). Mahmudur Rahman has collaborated with scholars based in United States, Bangladesh and Canada. Frequent co-authors include Mohammad Al Hasan, Mansurul Bhuiyan, A.H.M.A. Rahim, Tokunbo Ogunfunmi, Ashraful Islam, Rashedur M. Rahman, Prabir Bhattacharya, Nuh Alpaslan, Bogdan Cărbunar and Umut Topkara. Their work appears in journals such as Applied Physics Letters, IEEE Transactions on Electron Devices and IEEE Transactions on Knowledge and Data Engineering.
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.