M. 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 30
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- Numerical methods for differential equations 17
- Co-authors
- Peter Benner (5 shared papers)Jens Saak (5 shared papers)Sawal Hamid Md Ali (2 shared papers)Zaid Bin Mahbub (2 shared papers)Muhammad E. H. Chowdhury (2 shared papers)Amith Khandakar (2 shared papers)Moajjem Hossain Chowdhury (2 shared papers)Mamun Bin Ibne Reaz (2 shared papers)
- Journals
- Journal of Computational Science (1 paper)Applied Numerical Mathematics (1 paper)BioMed Research International (1 paper)Production Engineering (1 paper)Applied Mathematical Modelling (1 paper)
- Partner nations
- BangladeshGermanyChina
In The Last Decade
M. Monir Uddin
38 papers receiving 212 citations
Peers
Comparison fields: 5 of 72
- Numerical Analysis 67
- Statistical and Nonlinear Physics 115
- Statistics, Probability and Uncertainty 18
- Computational Mechanics 50
- Computational Mathematics 1
Countries citing papers authored by M. Monir Uddin
This map shows the geographic impact of M. 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 M. 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 M. Monir Uddin more than expected).
Fields of papers citing papers by M. Monir Uddin
This network shows the impact of papers produced by M. 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 M. Monir Uddin. The network helps show where M. Monir Uddin may publish in the future.
Co-authors
The 19 scholars most cited alongside M. 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 43 | |
| 2 | 2022 | 20 | |
| 3 | 2016 | 14 | |
| 4 | 2019 | 13 | |
| 5 | 2012 | 12 | |
| 6 | Model Reduction for Piezo-Mechanical Systems Using Balanced Truncation | 2011 | 11 |
| 7 | 2019 | 8 | |
| 8 | 2021 | 7 | |
| 9 | 2016 | 7 | |
| 10 | 2015 | 6 | |
| 11 | 2012 | 6 | |
| 12 | 2022 | 5 | |
| 13 | 2018 | 5 | |
| 14 | 2019 | 5 | |
| 15 | 2022 | 5 | |
| 16 | 2019 | 5 | |
| 17 | 2016 | 4 | |
| 18 | 2012 | 3 | |
| 19 | 2018 | 3 | |
| 20 | 2021 | 3 |
About M. Monir Uddin
M. Monir Uddin is a scholar working on Statistical and Nonlinear Physics, Numerical Analysis, Computational Mechanics, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 43 papers that have together received 217 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (30 papers), Numerical methods for differential equations (17 papers), Fluid Dynamics and Vibration Analysis (10 papers), Matrix Theory and Algorithms (4 papers), Real-time simulation and control systems (4 papers), Probabilistic and Robust Engineering Design (4 papers), Fluid Dynamics and Turbulent Flows (4 papers) and Power System Optimization and Stability (4 papers). The work is most often cited by research in Numerical Analysis (67 citations), Statistical and Nonlinear Physics (115 citations), Statistics, Probability and Uncertainty (18 citations), Computational Mechanics (50 citations) and Computational Mathematics (1 citation). M. Monir Uddin has collaborated with scholars based in Bangladesh, Germany and China. Frequent co-authors include Peter Benner, Jens Saak, Sawal Hamid Md Ali, Zaid Bin Mahbub, Muhammad E. H. Chowdhury, Amith Khandakar, Moajjem Hossain Chowdhury, Mamun Bin Ibne Reaz, Md Shafayet Hossain and Mohammed Forhad Uddin. Their work appears in journals such as Journal of Computational Science, Applied Numerical Mathematics, BioMed Research International, Production Engineering and Applied Mathematical Modelling.
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.