M. Ayub
Impact in
- Modeling and Simulation top 0.2%
- Fractional Differential Equations Solutions
- Computational Mechanics top 0.5%
- Fluid Dynamics and Turbulent Flows
Papers in
-
- Nanofluid Flow and Heat Transfer 84
- Acoustic Wave Phenomena Research 23
-
- Fluid Dynamics and Turbulent Flows 53
- Co-authors
- Tasawar Hayat (61 shared papers)Masood Khan (17 shared papers)Misbah Ijaz (12 shared papers)A. Alsaedi (17 shared papers)Ahmed Alsaedi (14 shared papers)M. Sajid (8 shared papers)M. M. Bhatti (4 shared papers)Tehseen Abbas (4 shared papers)
- Journals
- Communications in Nonlinear Science and Numerical Simulation (10 papers)Physics of Plasmas (6 papers)Heliyon (5 papers)Waves in Random and Complex Media (4 papers)PLoS ONE (3 papers)
- Partner nations
- PakistanSaudi ArabiaUnited States
In The Last Decade
M. Ayub
179 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 101
- Modeling and Simulation 736
- Computational Mechanics 1.9k
- Biomedical Engineering 2.9k
- Fluid Flow and Transfer Processes 407
- Numerical Analysis 295
Countries citing papers authored by M. Ayub
This map shows the geographic impact of M. Ayub'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. Ayub with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Ayub more than expected).
Fields of papers citing papers by M. Ayub
This network shows the impact of papers produced by M. Ayub. 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. Ayub. The network helps show where M. Ayub may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Ayub, 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 185 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 185 | |
| 2 | 2003 | 180 | |
| 3 | 2016 | 113 | |
| 4 | 2016 | 106 | |
| 5 | 2004 | 103 | |
| 6 | 2007 | 91 | |
| 7 | 2003 | 84 | |
| 8 | 2015 | 83 | |
| 9 | 2017 | 78 | |
| 10 | 2016 | 74 | |
| 11 | 2016 | 73 | |
| 12 | 2022 | 72 | |
| 13 | 2006 | 64 | |
| 14 | 2016 | 61 | |
| 15 | 2007 | 61 | |
| 16 | 2019 | 55 | |
| 17 | 2006 | 55 | |
| 18 | 2017 | 54 | |
| 19 | 2006 | 53 | |
| 20 | 1999 | 51 |
About M. Ayub
M. Ayub is a scholar working on Biomedical Engineering, Computational Mechanics, Mechanical Engineering, Atomic and Molecular Physics, and Optics and Aerospace Engineering, having authored 185 papers that have together received 3.9k indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (84 papers), Fluid Dynamics and Turbulent Flows (53 papers), Heat Transfer Mechanisms (48 papers), Acoustic Wave Phenomena Research (23 papers), Heat Transfer and Optimization (20 papers), Electromagnetic Scattering and Analysis (17 papers), Rheology and Fluid Dynamics Studies (16 papers) and Dust and Plasma Wave Phenomena (14 papers). The work is most often cited by research in Modeling and Simulation (736 citations), Computational Mechanics (1.9k citations), Biomedical Engineering (2.9k citations), Fluid Flow and Transfer Processes (407 citations) and Numerical Analysis (295 citations). M. Ayub has collaborated with scholars based in Pakistan, Saudi Arabia and United States. Frequent co-authors include Tasawar Hayat, Masood Khan, Misbah Ijaz, A. Alsaedi, Ahmed Alsaedi, M. Sajid, M. M. Bhatti, Tehseen Abbas, Amer Rasheed and M. Waqas. Their work appears in journals such as Communications in Nonlinear Science and Numerical Simulation, Physics of Plasmas, Heliyon, Waves in Random and Complex Media 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.