Salman Khan
- Aerospace Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Environmental Engineering top 10%
- Geology top 10%
- Oceanography
- Co-authors
- Raffaella GuidaFatih PorikliMuzammal NaseerLuiz E. O. C. AragãoJosé IriarteMark HemerQiang GaoNataliia Y. Sergiienko
- Topics
- Synthetic Aperture Radar (SAR) Applications and Techniques (7 papers)Soil Moisture and Remote Sensing (6 papers)Oceanographic and Atmospheric Processes (5 papers)
- Journals
- Nature CommunicationsRenewable and Sustainable Energy ReviewsIEEE Transactions on Geoscience and Remote Sensing
- Partner nations
- United KingdomAustraliaPakistan
In The Last Decade
Salman Khan
26 papers receiving 402 citations
Peers
Comparison fields: 5 of 83
- Aerospace Engineering 150
- Computer Vision and Pattern Recognition 86
- Environmental Engineering 72
- Geology 55
- Oceanography 53
Countries citing papers authored by Salman Khan
This map shows the geographic impact of Salman 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 Salman Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Salman Khan more than expected).
Fields of papers citing papers by Salman Khan
This network shows the impact of papers produced by Salman 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 Salman Khan. The network helps show where Salman Khan may publish in the future.
Co-authorship network of co-authors of Salman Khan
This figure shows the co-authorship network connecting the top 25 collaborators of Salman Khan. A scholar is included among the top collaborators of Salman 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 Salman Khan. Salman 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 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 19 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 43 | |
| 8 | 21 | |
| 9 | 1 | |
| 10 | 17 | |
| 11 | 75 | |
| 12 | 75 | |
| 13 | 10 | |
| 14 | Unsupervised clustering of PolSAR data using Polarimetric G Distribution and Markov Random Fields | 2 |
| 15 | 0 | |
| 16 | 24 | |
| 17 | The new form of G distribution for single-look PolSAR data | 1 |
| 18 | 18 | |
| 19 | Simulation Of Brightness Temperatures For The Microwave Radiometer On The Aquarius/sac-d Mission. | 6 |
| 20 | An adaptive multi-thresholding technique for binarization of color images | 3 |
About Salman Khan
Salman Khan is a scholar working on Space and Planetary Science, Environmental Engineering and Oceanography, having authored 28 papers that have together received 415 indexed citations. Recurring topics across this work include Synthetic Aperture Radar (SAR) Applications and Techniques (7 papers), Soil Moisture and Remote Sensing (6 papers) and Oceanographic and Atmospheric Processes (5 papers). The work is most often cited by research in Space and Planetary Science (29 citations), Geology (55 citations) and Aerospace Engineering (150 citations). Salman Khan has collaborated with scholars based in United Kingdom, Australia and Pakistan. Frequent co-authors include Raffaella Guida, Fatih Porikli, Muzammal Naseer, Luiz E. O. C. Aragão, José Iriarte, Mark Hemer, Qiang Gao, Nataliia Y. Sergiienko, Nesimi Ertuğrul and Boyin Ding. Their work appears in journals such as Nature Communications, Renewable and Sustainable Energy Reviews and IEEE Transactions on Geoscience and Remote Sensing.
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.