Muhammad Uzair Awan
- Applied Mathematics top 0.2%
- Modeling and Simulation top 1%
- Geometry and Topology top 2%
- Computational Theory and Mathematics top 2%
- Statistics and Probability top 2%
- Co-authors
- Muhammad Aslam NoorKhalida Inayat NoorE D SaggersonYu‐Ming ChuSabah IftikharArtion KashuriNiaz AhmadMuhammad Asif
- Topics
- Mathematical Inequalities and Applications (157 papers)Functional Equations Stability Results (96 papers)Mathematical functions and polynomials (68 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American College of CardiologyPLoS ONE
- Partner nations
- PakistanSaudi ArabiaChina
In The Last Decade
Muhammad Uzair Awan
222 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Applied Mathematics 2.0k
- Modeling and Simulation 282
- Geometry and Topology 265
- Computational Theory and Mathematics 232
- Statistics and Probability 187
Countries citing papers authored by Muhammad Uzair Awan
This map shows the geographic impact of Muhammad Uzair Awan'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 Uzair Awan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Uzair Awan more than expected).
Fields of papers citing papers by Muhammad Uzair Awan
This network shows the impact of papers produced by Muhammad Uzair Awan. 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 Uzair Awan. The network helps show where Muhammad Uzair Awan may publish in the future.
Co-authorship network of co-authors of Muhammad Uzair Awan
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Uzair Awan. A scholar is included among the top collaborators of Muhammad Uzair Awan 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 Uzair Awan. Muhammad Uzair Awan 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 | 4 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 15 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 8 | |
| 13 | 10 | |
| 14 | 2 | |
| 15 | 5 | |
| 16 | 2 | |
| 17 | 9 | |
| 18 | Medical Student Schwartz Rounds: A Powerful Medium for Medical Student Reflective Practice | 1 |
| 19 | Some Characterizations of General Preinvex Functions | 10 |
| 20 | Generalized Beta-Convex Functions and Integral Inequalities | 3 |
About Muhammad Uzair Awan
Muhammad Uzair Awan is a scholar working on Applied Mathematics, Modeling and Simulation and Numerical Analysis, having authored 248 papers that have together received 3.0k indexed citations. Recurring topics across this work include Mathematical Inequalities and Applications (157 papers), Functional Equations Stability Results (96 papers) and Mathematical functions and polynomials (68 papers). The work is most often cited by research in Applied Mathematics (2.0k citations), Modeling and Simulation (282 citations) and Numerical Analysis (183 citations). Muhammad Uzair Awan has collaborated with scholars based in Pakistan, Saudi Arabia and China. Frequent co-authors include Muhammad Aslam Noor, Khalida Inayat Noor, E D Saggerson, Yu‐Ming Chu, Sabah Iftikhar, Artion Kashuri, Niaz Ahmad, Muhammad Asif, Tingsong Du and Awais Gul Khan. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and PLoS ONE.
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.