Muhammad Mohebujjaman
- Computational Mechanics top 5%
- Statistical and Nonlinear Physics top 5%
- Statistics, Probability and Uncertainty top 5%
- Numerical Analysis top 10%
- Biomedical Engineering
- Co-authors
- Leo G. RebholzTraian IliescuXuping XieMd. KamrujjamanMd. Mamun MollaSuvash C. SahaCătălin TrencheaNan Jiang
- Topics
- Computational Fluid Dynamics and Aerodynamics (8 papers)Advanced Numerical Methods in Computational Mathematics (7 papers)Model Reduction and Neural Networks (6 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputational MechanicsStatistics, Probability and Uncertainty
- Journals
- Journal of Computational PhysicsComputer Methods in Applied Mechanics and EngineeringEnergies
- Partner nations
- United StatesBangladeshCanada
In The Last Decade
Muhammad Mohebujjaman
18 papers receiving 294 citations
Peers
Comparison fields: 5 of 55
- Computational Mechanics 204
- Statistical and Nonlinear Physics 143
- Statistics, Probability and Uncertainty 65
- Numerical Analysis 41
- Biomedical Engineering 33
Countries citing papers authored by Muhammad Mohebujjaman
This map shows the geographic impact of Muhammad Mohebujjaman'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 Muhammad Mohebujjaman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Mohebujjaman more than expected).
Fields of papers citing papers by Muhammad Mohebujjaman
This network shows the impact of papers produced by Muhammad Mohebujjaman. 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 Muhammad Mohebujjaman. The network helps show where Muhammad Mohebujjaman may publish in the future.
Co-authorship network of co-authors of Muhammad Mohebujjaman
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Mohebujjaman. A scholar is included among the top collaborators of Muhammad Mohebujjaman 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 Muhammad Mohebujjaman. Muhammad Mohebujjaman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 28 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | 24 | |
| 14 | 20 | |
| 15 | 97 | |
| 16 | 0 | |
| 17 | NUMERICAL ANALYSIS AND TESTING OF A FULLY DISCRETE, DECOUPLED PENALTY-PROJECTION ALGORITHM FOR MHD IN ELSASSER VARIABLE | 1 |
| 18 | 37 | |
| 19 | 22 | |
| 20 | 22 |
About Muhammad Mohebujjaman
Muhammad Mohebujjaman is a scholar working on Computational Mechanics, Statistics, Probability and Uncertainty and Statistical and Nonlinear Physics, having authored 23 papers that have together received 310 indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (8 papers), Advanced Numerical Methods in Computational Mathematics (7 papers) and Model Reduction and Neural Networks (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (143 citations), Computational Mechanics (204 citations) and Statistics, Probability and Uncertainty (65 citations). Muhammad Mohebujjaman has collaborated with scholars based in United States, Bangladesh and Canada. Frequent co-authors include Leo G. Rebholz, Traian Iliescu, Xuping Xie, Md. Kamrujjaman, Md. Mamun Molla, Suvash C. Saha, Cătălin Trenchea, Nan Jiang, Md. Shahidul Islam and Md Mizanur Rahman. Their work appears in journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and Energies.
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.