Md. Mahbub Alam
Impact in
- Computational Mechanics top 0.02%
- Fluid Dynamics and Vibration Analysis
- Fluid Dynamics and Turbulent Flows
- Environmental Engineering top 0.05%
- Wind and Air Flow Studies
Papers in
-
- Fluid Dynamics and Vibration Analysis 198
- Fluid Dynamics and Turbulent Flows 97
-
- Wind and Air Flow Studies 125
- Co-authors
- Shafiqur RehmanLuai M. Al‐HadhramiHiroshi SakamotoYu ZhouY. ZhouJosua P. MeyerHonglei BaiJavad Farrokhi Derakhshandeh
- Journals
- Physics of Fluids (35 papers)Ocean Engineering (27 papers)Journal of Fluids and Structures (23 papers)Journal of Fluid Mechanics (18 papers)Wind and Structures (16 papers)
- Partner nations
- ChinaBangladeshSaudi Arabia
In The Last Decade
Md. Mahbub Alam
362 papers receiving 9.8k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Computational Mechanics 7.0k
- Environmental Engineering 4.4k
- Energy Engineering and Power Technology 638
- Aerospace Engineering 3.9k
- Control and Systems Engineering 2.8k
Countries citing papers authored by Md. Mahbub Alam
This map shows the geographic impact of Md. Mahbub Alam'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. Mahbub Alam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Md. Mahbub Alam more than expected).
Fields of papers citing papers by Md. Mahbub Alam
This network shows the impact of papers produced by Md. Mahbub Alam. 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. Mahbub Alam. The network helps show where Md. Mahbub Alam may publish in the future.
Co-authors
The 25 scholars most cited alongside Md. Mahbub Alam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2025 | 18 | |
| 3 | 2025 | 4 | |
| 4 | 2025 | 6 | |
| 5 | 2025 | 2 | |
| 6 | 2025 | 0 | |
| 7 | 2025 | 0 | |
| 8 | 2025 | 1 | |
| 9 | 2025 | 1 | |
| 10 | 2024 | 8 | |
| 11 | 2024 | 6 | |
| 12 | 2024 | 4 | |
| 13 | 2024 | 1 | |
| 14 | 2024 | 0 | |
| 15 | 2024 | 12 | |
| 16 | 2024 | 8 | |
| 17 | 2023 | 14 | |
| 18 | 2023 | 19 | |
| 19 | 2023 | 3 | |
| 20 | 2020 | 21 |
About Md. Mahbub Alam
Md. Mahbub Alam is a scholar working on Computational Mechanics, Environmental Engineering, Aerospace Engineering, Control and Systems Engineering and Mechanical Engineering, having authored 393 papers that have together received 10.2k indexed citations. Recurring topics across this work include Fluid Dynamics and Vibration Analysis (198 papers), Wind and Air Flow Studies (125 papers), Fluid Dynamics and Turbulent Flows (97 papers), Nanofluid Flow and Heat Transfer (96 papers), Vibration and Dynamic Analysis (86 papers), Aerodynamics and Fluid Dynamics Research (81 papers), Heat Transfer Mechanisms (55 papers) and Heat Transfer and Optimization (38 papers). The work is most often cited by research in Computational Mechanics (7.0k citations), Environmental Engineering (4.4k citations), Energy Engineering and Power Technology (638 citations), Aerospace Engineering (3.9k citations) and Control and Systems Engineering (2.8k citations). Md. Mahbub Alam has collaborated with scholars based in China, Bangladesh and Saudi Arabia. Frequent co-authors include Shafiqur Rehman, Luai M. Al‐Hadhrami, Hiroshi Sakamoto, Yu Zhou, Y. Zhou, Josua P. Meyer, Honglei Bai, Javad Farrokhi Derakhshandeh, A. Sohankar and M.R. Rastan. Their work appears in journals such as Physics of Fluids, Ocean Engineering, Journal of Fluids and Structures, Journal of Fluid Mechanics and Wind and Structures.
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.