ShahRukh Athar
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Renewable Energy, Sustainability and the Environment
- Media Technology top 5%
- Computational Mechanics
- Co-authors
- Zhou WangYongheng YangHassan Abbas KhanKamran Ali Khan NiaziKalyan SunkavalliEli ShechtmanZexiang XuZhixin Shu
- Topics
- Image and Video Quality Assessment (5 papers)Image Enhancement Techniques (5 papers)Advanced Image Fusion Techniques (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignMedia Technology
- Partner nations
- United StatesCanadaPakistan
In The Last Decade
ShahRukh Athar
14 papers receiving 393 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 239
- Artificial Intelligence 118
- Renewable Energy, Sustainability and the Environment 94
- Media Technology 65
- Computational Mechanics 53
Countries citing papers authored by ShahRukh Athar
This map shows the geographic impact of ShahRukh Athar'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 ShahRukh Athar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites ShahRukh Athar more than expected).
Fields of papers citing papers by ShahRukh Athar
This network shows the impact of papers produced by ShahRukh Athar. 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 ShahRukh Athar. The network helps show where ShahRukh Athar may publish in the future.
Co-authorship network of co-authors of ShahRukh Athar
This figure shows the co-authorship network connecting the top 25 collaborators of ShahRukh Athar. A scholar is included among the top collaborators of ShahRukh Athar 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 ShahRukh Athar. ShahRukh Athar 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 | 0 | |
| 3 | 0 | |
| 4 | 11 | |
| 5 | 6 | |
| 6 | 71 | |
| 7 | 48 | |
| 8 | 7 | |
| 9 | 130 | |
| 10 | 89 | |
| 11 | 12 | |
| 12 | Latent Convolutional Models | 2 |
| 13 | 6 | |
| 14 | 6 | |
| 15 | 4 | |
| 16 | 17 | |
| 17 | 4 |
About ShahRukh Athar
ShahRukh Athar is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Media Technology, having authored 17 papers that have together received 413 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (5 papers), Image Enhancement Techniques (5 papers) and Advanced Image Fusion Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (239 citations), Computer Graphics and Computer-Aided Design (28 citations) and Media Technology (65 citations). ShahRukh Athar has collaborated with scholars based in United States, Canada and Pakistan. Frequent co-authors include Zhou Wang, Yongheng Yang, Hassan Abbas Khan, Kamran Ali Khan Niazi, Kalyan Sunkavalli, Eli Shechtman, Zexiang Xu, Zhixin Shu, Dimitris Samaras and Hieu Lê. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Access and Solar Energy.
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.