Ayesha Sohail
- Biomedical Engineering top 5%
- Computational Mechanics top 5%
- Mechanical Engineering top 10%
- Modeling and Simulation top 1%
- Artificial Intelligence top 5%
- Co-authors
- R. EllahiKhadija MaqboolLubna SherinZhenhua YuO. Anwar BégMuhammad IdreesZhiwu LiSadiq M. Sait
- Topics
- Nanofluid Flow and Heat Transfer (25 papers)Fluid Dynamics and Turbulent Flows (17 papers)Heat Transfer Mechanisms (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Environmental ManagementRSC Advances
- Partner nations
- PakistanChinaSaudi Arabia
In The Last Decade
Ayesha Sohail
135 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 167
- Biomedical Engineering 596
- Computational Mechanics 329
- Mechanical Engineering 309
- Modeling and Simulation 261
- Artificial Intelligence 209
Countries citing papers authored by Ayesha Sohail
This map shows the geographic impact of Ayesha Sohail'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 Ayesha Sohail with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayesha Sohail more than expected).
Fields of papers citing papers by Ayesha Sohail
This network shows the impact of papers produced by Ayesha Sohail. 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 Ayesha Sohail. The network helps show where Ayesha Sohail may publish in the future.
Co-authorship network of co-authors of Ayesha Sohail
This figure shows the co-authorship network connecting the top 25 collaborators of Ayesha Sohail. A scholar is included among the top collaborators of Ayesha Sohail 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 Ayesha Sohail. Ayesha Sohail 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 | 3 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 13 | |
| 7 | 4 | |
| 8 | 13 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | 104 | |
| 12 | 48 | |
| 13 | 2 | |
| 14 | 12 | |
| 15 | 2 | |
| 16 | 10 | |
| 17 | 13 | |
| 18 | 17 | |
| 19 | 1 | |
| 20 | Near-optimality conditions in mean-field control models involving continuous and impulse controls | 1 |
About Ayesha Sohail
Ayesha Sohail is a scholar working on Modeling and Simulation, Computational Mechanics and Fluid Flow and Transfer Processes, having authored 142 papers that have together received 1.8k indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (25 papers), Fluid Dynamics and Turbulent Flows (17 papers) and Heat Transfer Mechanisms (12 papers). The work is most often cited by research in Modeling and Simulation (261 citations), Computational Mechanics (329 citations) and Biomedical Engineering (596 citations). Ayesha Sohail has collaborated with scholars based in Pakistan, China and Saudi Arabia. Frequent co-authors include R. Ellahi, Khadija Maqbool, Lubna Sherin, Zhenhua Yu, O. Anwar Bég, Muhammad Idrees, O. Anwar Bég, Zhiwu Li, Sadiq M. Sait and Ali Kadir. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Environmental Management and RSC Advances.
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.