Khawar Khurshid
- Computer Vision and Pattern Recognition top 5%
- Water Science and Technology top 10%
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Media Technology top 5%
- Co-authors
- Ahmad SalmanImran Fareed NizamiAdrian UlgesUlrich SchwaneckeFaisal ShafaitMark R. ShortisAjmal MianImdad Ullah
- Topics
- Advanced Image Fusion Techniques (7 papers)Image and Video Quality Assessment (6 papers)Image Enhancement Techniques (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Access
- Partner nations
- PakistanAustraliaSaudi Arabia
In The Last Decade
Khawar Khurshid
28 papers receiving 526 citations
Peers
Comparison fields: 5 of 87
- Computer Vision and Pattern Recognition 191
- Water Science and Technology 97
- Computer Networks and Communications 90
- Artificial Intelligence 86
- Media Technology 86
Countries citing papers authored by Khawar Khurshid
This map shows the geographic impact of Khawar Khurshid'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 Khawar Khurshid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khawar Khurshid more than expected).
Fields of papers citing papers by Khawar Khurshid
This network shows the impact of papers produced by Khawar Khurshid. 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 Khawar Khurshid. The network helps show where Khawar Khurshid may publish in the future.
Co-authorship network of co-authors of Khawar Khurshid
This figure shows the co-authorship network connecting the top 25 collaborators of Khawar Khurshid. A scholar is included among the top collaborators of Khawar Khurshid 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 Khawar Khurshid. Khawar Khurshid 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 | 71 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 23 | |
| 6 | 17 | |
| 7 | 5 | |
| 8 | 151 | |
| 9 | 7 | |
| 10 | 18 | |
| 11 | 38 | |
| 12 | 1 | |
| 13 | 8 | |
| 14 | 8 | |
| 15 | 3 | |
| 16 | 4 | |
| 17 | 4 | |
| 18 | 6 | |
| 19 | 2 | |
| 20 | 8 |
About Khawar Khurshid
Khawar Khurshid is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Health Information Management, having authored 30 papers that have together received 553 indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (7 papers), Image and Video Quality Assessment (6 papers) and Image Enhancement Techniques (4 papers). The work is most often cited by research in Media Technology (86 citations), Computer Vision and Pattern Recognition (191 citations) and Signal Processing (76 citations). Khawar Khurshid has collaborated with scholars based in Pakistan, Australia and Saudi Arabia. Frequent co-authors include Ahmad Salman, Imran Fareed Nizami, Adrian Ulges, Ulrich Schwanecke, Faisal Shafait, Mark R. Shortis, Ajmal Mian, Imdad Ullah, Hammad Afzal and Muhammad Majid. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.
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.