Maidul Islam
- Control and Systems Engineering top 5%
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 10%
- Aerospace Engineering
- Renewable Energy, Sustainability and the Environment
- Co-authors
- Mohamed OkashaMd Manjurul AhsanNazmus SakibM.A. RahmanMohammad Abdul AzizRezaul HaqueErwin SulaemanAlessandro Gardi
- Topics
- Adaptive Control of Nonlinear Systems (8 papers)Control and Dynamics of Mobile Robots (3 papers)Electric and Hybrid Vehicle Technologies (2 papers)
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionRenewable Energy, Sustainability and the Environment
- Journals
- SHILAP Revista de lepidopterologíaApplied SciencesElectronics
- Partner nations
- MalaysiaAustraliaUnited States
In The Last Decade
Maidul Islam
15 papers receiving 400 citations
Peers
Comparison fields: 5 of 81
- Control and Systems Engineering 169
- Biomedical Engineering 89
- Computer Vision and Pattern Recognition 76
- Aerospace Engineering 63
- Renewable Energy, Sustainability and the Environment 60
Countries citing papers authored by Maidul Islam
This map shows the geographic impact of Maidul 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 Maidul Islam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maidul Islam more than expected).
Fields of papers citing papers by Maidul Islam
This network shows the impact of papers produced by Maidul 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 Maidul Islam. The network helps show where Maidul Islam may publish in the future.
Co-authorship network of co-authors of Maidul Islam
This figure shows the co-authorship network connecting the top 25 collaborators of Maidul Islam. A scholar is included among the top collaborators of Maidul 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 Maidul Islam. Maidul 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 | 16 | |
| 2 | 58 | |
| 3 | 0 | |
| 4 | 47 | |
| 5 | 9 | |
| 6 | 35 | |
| 7 | 44 | |
| 8 | 3 | |
| 9 | Performance evaluation of linear quadratic regulator and linear quadratic Gaussian controllers on quadrotor platform | 2 |
| 10 | 43 | |
| 11 | 16 | |
| 12 | 5 | |
| 13 | 15 | |
| 14 | 93 | |
| 15 | 31 | |
| 16 | 6 |
About Maidul Islam
Maidul Islam is a scholar working on Control and Systems Engineering, Automotive Engineering and Orthopedics and Sports Medicine, having authored 16 papers that have together received 423 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (8 papers), Control and Dynamics of Mobile Robots (3 papers) and Electric and Hybrid Vehicle Technologies (2 papers). The work is most often cited by research in Control and Systems Engineering (169 citations), Computer Vision and Pattern Recognition (76 citations) and Renewable Energy, Sustainability and the Environment (60 citations). Maidul Islam has collaborated with scholars based in Malaysia, Australia and United States. Frequent co-authors include Mohamed Okasha, Md Manjurul Ahsan, Nazmus Sakib, M.A. Rahman, Mohammad Abdul Aziz, Rezaul Haque, Erwin Sulaeman, Alessandro Gardi, Roberto Sabatini and M. A. Parvez Mahmud. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Sciences and Electronics.
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.