Mohammad Monir Uddin
Impact in
- Numerical Analysis top 10%
- Numerical methods for differential equations
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- Model Reduction and Neural Networks
Papers in
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- Model Reduction and Neural Networks 33
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- Numerical methods for differential equations 17
- Co-authors
- Jens Saak (5 shared papers)Peter Benner (5 shared papers)Muhammad Enamul Hoque Chowdhury (2 shared papers)Mamun Bin Ibne Reaz (2 shared papers)Zaid Bin Mahbub (2 shared papers)Sawal Hamid Md Ali (2 shared papers)Amith Abdullah Khandakar (2 shared papers)Moajjem Hossain Chowdhury (3 shared papers)
- Journals
- Applied Numerical Mathematics (1 paper)BioMed Research International (1 paper)IEEE Access (1 paper)Intelligent Systems with Applications (1 paper)Results in Engineering (1 paper)
- Partner nations
- BangladeshGermanyChina
In The Last Decade
Mohammad Monir Uddin
42 papers receiving 212 citations
Peers
Comparison fields: 5 of 71
- Numerical Analysis 61
- Statistical and Nonlinear Physics 105
- Statistics, Probability and Uncertainty 16
- Computational Mechanics 41
- Computational Mathematics 1
Countries citing papers authored by Mohammad Monir Uddin
This map shows the geographic impact of Mohammad Monir Uddin'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 Mohammad Monir Uddin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Monir Uddin more than expected).
Fields of papers citing papers by Mohammad Monir Uddin
This network shows the impact of papers produced by Mohammad Monir Uddin. 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 Mohammad Monir Uddin. The network helps show where Mohammad Monir Uddin may publish in the future.
Co-authors
The 21 scholars most cited alongside Mohammad Monir Uddin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 47 | |
| 2 | 2022 | 21 | |
| 3 | 2016 | 15 | |
| 4 | 2012 | 14 | |
| 5 | 2019 | 8 | |
| 6 | 2016 | 8 | |
| 7 | 2021 | 7 | |
| 8 | 2015 | 7 | |
| 9 | 2022 | 6 | |
| 10 | 2019 | 6 | |
| 11 | 2019 | 5 | |
| 12 | 2018 | 5 | |
| 13 | 2012 | 5 | |
| 14 | 2022 | 5 | |
| 15 | 2016 | 4 | |
| 16 | 2019 | 4 | |
| 17 | 2019 | 4 | |
| 18 | 2021 | 4 | |
| 19 | 2020 | 3 | |
| 20 | 2022 | 3 |
About Mohammad Monir Uddin
Mohammad Monir Uddin is a scholar working on Statistical and Nonlinear Physics, Numerical Analysis, Computational Mechanics, Control and Systems Engineering and Statistics, Probability and Uncertainty, having authored 50 papers that have together received 217 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (33 papers), Numerical methods for differential equations (17 papers), Fluid Dynamics and Vibration Analysis (10 papers), Probabilistic and Robust Engineering Design (5 papers), Power System Optimization and Stability (5 papers), Real-time simulation and control systems (5 papers), Fluid Dynamics and Turbulent Flows (4 papers) and Hydraulic and Pneumatic Systems (4 papers). The work is most often cited by research in Numerical Analysis (61 citations), Statistical and Nonlinear Physics (105 citations), Statistics, Probability and Uncertainty (16 citations), Computational Mechanics (41 citations) and Computational Mathematics (1 citation). Mohammad Monir Uddin has collaborated with scholars based in Bangladesh, Germany and China. Frequent co-authors include Jens Saak, Peter Benner, Muhammad Enamul Hoque Chowdhury, Mamun Bin Ibne Reaz, Zaid Bin Mahbub, Sawal Hamid Md Ali, Amith Abdullah Khandakar, Moajjem Hossain Chowdhury, Md Shafayet Hossain and Mohammed Forhad Uddin. Their work appears in journals such as Applied Numerical Mathematics, BioMed Research International, IEEE Access, Intelligent Systems with Applications and Results in 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.