Imad Khan
Impact in
- Computational Mechanics top 1%
- Fluid Dynamics and Turbulent Flows
- Biomedical Engineering top 2%
- Nanofluid Flow and Heat Transfer
Papers in
-
- Nanofluid Flow and Heat Transfer 27
-
- Heat Transfer Mechanisms 22
- Heat Transfer and Optimization 8
- Co-authors
- M.Y. Malik (19 shared papers)T. Salahuddin (13 shared papers)Mair Khan (10 shared papers)Arif Hussain (8 shared papers)Muhammad Awais (3 shared papers)Khalil Ur Rehman (5 shared papers)Masood Khan (7 shared papers)Safyan Mukhtar (2 shared papers)
- Journals
- Scientific Reports (9 papers)Alexandria Engineering Journal (4 papers)Food Bioscience (3 papers)Frontiers in Neurology (2 papers)Results in Physics (11 papers)
- Partner nations
- PakistanChinaSaudi Arabia
In The Last Decade
Imad Khan
89 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 127
- Computational Mechanics 816
- Biomedical Engineering 1.1k
- Mechanical Engineering 855
- Fluid Flow and Transfer Processes 104
- Animal Science and Zoology 108
Countries citing papers authored by Imad Khan
This map shows the geographic impact of Imad Khan'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 Imad Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Imad Khan more than expected).
Fields of papers citing papers by Imad Khan
This network shows the impact of papers produced by Imad Khan. 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 Imad Khan. The network helps show where Imad Khan may publish in the future.
Co-authors
The 25 scholars most cited alongside Imad Khan, 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 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 147 | |
| 2 | 2016 | 125 | |
| 3 | 2017 | 101 | |
| 4 | 2016 | 79 | |
| 5 | 2017 | 77 | |
| 6 | 2023 | 56 | |
| 7 | 2017 | 55 | |
| 8 | 2016 | 55 | |
| 9 | 2019 | 52 | |
| 10 | 2017 | 51 | |
| 11 | 2017 | 49 | |
| 12 | 2018 | 41 | |
| 13 | 2018 | 38 | |
| 14 | 2017 | 38 | |
| 15 | 2019 | 37 | |
| 16 | 2017 | 35 | |
| 17 | 2018 | 31 | |
| 18 | 2020 | 29 | |
| 19 | 2017 | 27 | |
| 20 | 2020 | 25 |
About Imad Khan
Imad Khan is a scholar working on Biomedical Engineering, Mechanical Engineering, Computational Mechanics, Food Science and Plant Science, having authored 97 papers that have together received 1.6k indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (27 papers), Heat Transfer Mechanisms (22 papers), Fluid Dynamics and Turbulent Flows (16 papers), Advanced Statistical Process Monitoring (10 papers), Animal Nutrition and Physiology (8 papers), Scientific Measurement and Uncertainty Evaluation (8 papers), Heat Transfer and Optimization (8 papers) and Traumatic Brain Injury and Neurovascular Disturbances (7 papers). The work is most often cited by research in Computational Mechanics (816 citations), Biomedical Engineering (1.1k citations), Mechanical Engineering (855 citations), Fluid Flow and Transfer Processes (104 citations) and Animal Science and Zoology (108 citations). Imad Khan has collaborated with scholars based in Pakistan, China and Saudi Arabia. Frequent co-authors include M.Y. Malik, T. Salahuddin, Mair Khan, Arif Hussain, Muhammad Awais, Khalil Ur Rehman, Masood Khan, Safyan Mukhtar, Muhammad Moazzam Naseer and Xiaoqiang Zou. Their work appears in journals such as Scientific Reports, Alexandria Engineering Journal, Food Bioscience, Frontiers in Neurology and Results in Physics.
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.