Moin‐ud‐Din Junjua
Impact in
- Modeling and Simulation top 5%
- Fractional Differential Equations Solutions
- Numerical Analysis top 10%
- Iterative Methods for Nonlinear Equations
- Advanced Optimization Algorithms Research
Papers in
-
- Iterative Methods for Nonlinear Equations 15
- Advanced Optimization Algorithms Research 13
-
- Fractional Differential Equations Solutions 11
- Co-authors
- Saima Akram (8 shared papers)Ahmed S. Hendy (11 shared papers)Shabbir Ahmad (11 shared papers)K.S. Nisar (1 shared paper)Sarfaraz Ahmed (1 shared paper)Abdul Ghaffar (1 shared paper)Dumitru Bǎleanu (1 shared paper)Sabir Hussain (1 shared paper)
- Journals
- Nanotechnology Reviews (2 papers)Scientific Reports (2 papers)Journal of Computational and Applied Mathematics (1 paper)Mathematical Methods in the Applied Sciences (1 paper)The Journal of Nonlinear Sciences and Applications (1 paper)
- Partner nations
- PakistanChinaSaudi Arabia
In The Last Decade
Moin‐ud‐Din Junjua
36 papers receiving 305 citations
Peers
Comparison fields: 5 of 51
- Modeling and Simulation 75
- Numerical Analysis 81
- Statistical and Nonlinear Physics 75
- Applied Mathematics 46
- Computational Theory and Mathematics 35
Countries citing papers authored by Moin‐ud‐Din Junjua
This map shows the geographic impact of Moin‐ud‐Din Junjua'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 Moin‐ud‐Din Junjua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moin‐ud‐Din Junjua more than expected).
Fields of papers citing papers by Moin‐ud‐Din Junjua
This network shows the impact of papers produced by Moin‐ud‐Din Junjua. 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 Moin‐ud‐Din Junjua. The network helps show where Moin‐ud‐Din Junjua may publish in the future.
Co-authors
The 25 scholars most cited alongside Moin‐ud‐Din Junjua, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 55 | |
| 2 | 2019 | 32 | |
| 3 | 2024 | 22 | |
| 4 | 2024 | 20 | |
| 5 | 2024 | 13 | |
| 6 | 2024 | 13 | |
| 7 | 2015 | 11 | |
| 8 | 2018 | 11 | |
| 9 | 2021 | 11 | |
| 10 | 2015 | 11 | |
| 11 | 2024 | 9 | |
| 12 | 2024 | 8 | |
| 13 | 2024 | 7 | |
| 14 | 2024 | 7 | |
| 15 | 2025 | 7 | |
| 16 | 2024 | 7 | |
| 17 | 2024 | 7 | |
| 18 | 2023 | 6 | |
| 19 | 2024 | 6 | |
| 20 | 2019 | 6 |
About Moin‐ud‐Din Junjua
Moin‐ud‐Din Junjua is a scholar working on Numerical Analysis, Modeling and Simulation, Statistical and Nonlinear Physics, Computational Theory and Mathematics and Computational Mechanics, having authored 41 papers that have together received 316 indexed citations. Recurring topics across this work include Iterative Methods for Nonlinear Equations (15 papers), Advanced Optimization Algorithms Research (13 papers), Nanofluid Flow and Heat Transfer (12 papers), Fractional Differential Equations Solutions (11 papers), Matrix Theory and Algorithms (10 papers), Nonlinear Waves and Solitons (9 papers), Nonlinear Photonic Systems (7 papers) and Fluid Dynamics and Turbulent Flows (5 papers). The work is most often cited by research in Modeling and Simulation (75 citations), Numerical Analysis (81 citations), Statistical and Nonlinear Physics (75 citations), Applied Mathematics (46 citations) and Computational Theory and Mathematics (35 citations). Moin‐ud‐Din Junjua has collaborated with scholars based in Pakistan, China and Saudi Arabia. Frequent co-authors include Saima Akram, Ahmed S. Hendy, Shabbir Ahmad, K.S. Nisar, Sarfaraz Ahmed, Abdul Ghaffar, Dumitru Bǎleanu, Sabir Hussain, Humaira Kalsoom and Gullnaz Shahzadi. Their work appears in journals such as Nanotechnology Reviews, Scientific Reports, Journal of Computational and Applied Mathematics, Mathematical Methods in the Applied Sciences and The Journal of Nonlinear Sciences and Applications.
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.