Mansoor Khan
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Artificial Intelligence
- Electronic, Optical and Magnetic Materials
- Energy Engineering and Power Technology top 10%
- Co-authors
- M. A. ChoudhuryMohammad Azizur RahmanTianqi LiuA.H.M.A. RahimYahia SaidXuexia ZhangAymen FlahMuhammad Rashid Naeem
- Topics
- Multilevel Inverters and Converters (8 papers)Energy Load and Power Forecasting (5 papers)Advanced DC-DC Converters (5 papers)
- Cited by
- Energy Engineering and Power TechnologyControl and Systems EngineeringElectrical and Electronic Engineering
- Partner nations
- ChinaBangladeshSaudi Arabia
In The Last Decade
Mansoor Khan
25 papers receiving 309 citations
Peers
Comparison fields: 5 of 50
- Electrical and Electronic Engineering 263
- Control and Systems Engineering 117
- Artificial Intelligence 61
- Electronic, Optical and Magnetic Materials 33
- Energy Engineering and Power Technology 25
Countries citing papers authored by Mansoor Khan
This map shows the geographic impact of Mansoor 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 Mansoor Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mansoor Khan more than expected).
Fields of papers citing papers by Mansoor Khan
This network shows the impact of papers produced by Mansoor 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 Mansoor Khan. The network helps show where Mansoor Khan may publish in the future.
Co-authorship network of co-authors of Mansoor Khan
This figure shows the co-authorship network connecting the top 25 collaborators of Mansoor Khan. A scholar is included among the top collaborators of Mansoor Khan 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 Mansoor Khan. Mansoor Khan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 42 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 10 | |
| 10 | 9 | |
| 11 | 17 | |
| 12 | 49 | |
| 13 | 9 | |
| 14 | 3 | |
| 15 | 5 | |
| 16 | 1 | |
| 17 | 4 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | 91 |
About Mansoor Khan
Mansoor Khan is a scholar working on Signal Processing, Electrical and Electronic Engineering and Software, having authored 27 papers that have together received 329 indexed citations. Recurring topics across this work include Multilevel Inverters and Converters (8 papers), Energy Load and Power Forecasting (5 papers) and Advanced DC-DC Converters (5 papers). The work is most often cited by research in Energy Engineering and Power Technology (25 citations), Control and Systems Engineering (117 citations) and Electrical and Electronic Engineering (263 citations). Mansoor Khan has collaborated with scholars based in China, Bangladesh and Saudi Arabia. Frequent co-authors include M. A. Choudhury, Mohammad Azizur Rahman, Tianqi Liu, A.H.M.A. Rahim, Yahia Said, Xuexia Zhang, Aymen Flah, Muhammad Rashid Naeem, Muhammad Shahid Mastoi and Hafiz Mudassir Munir. Their work appears in journals such as PLoS ONE, IEEE Transactions on Power Electronics and Computers in Human Behavior.
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.