Anum Mehmood
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Media Technology top 5%
- Information Systems top 10%
- Signal Processing top 10%
- Co-authors
- Uzair Aslam BhattiSaqib Ali NawazZhaoyuan YuLinwang YuanMengxing HuangDi WuMughair Aslam BhattiQurat Ul Ain
- Topics
- Advanced Steganography and Watermarking Techniques (7 papers)Digital Media Forensic Detection (4 papers)Chaos-based Image/Signal Encryption (3 papers)
- Partner nations
- ChinaPakistanUnited States
In The Last Decade
Anum Mehmood
23 papers receiving 640 citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Computer Vision and Pattern Recognition 307
- Artificial Intelligence 145
- Media Technology 96
- Information Systems 64
- Signal Processing 59
Countries citing papers authored by Anum Mehmood
This map shows the geographic impact of Anum Mehmood'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 Anum Mehmood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anum Mehmood more than expected).
Fields of papers citing papers by Anum Mehmood
This network shows the impact of papers produced by Anum Mehmood. 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 Anum Mehmood. The network helps show where Anum Mehmood may publish in the future.
Co-authorship network of co-authors of Anum Mehmood
This figure shows the co-authorship network connecting the top 25 collaborators of Anum Mehmood. A scholar is included among the top collaborators of Anum Mehmood 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 Anum Mehmood. Anum Mehmood 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 | 3 | |
| 3 | 34 | |
| 4 | 2 | |
| 5 | 31 | |
| 6 | 31 | |
| 7 | Local Similarity-Based Spatial–Spectral Fusion Hyperspectral Image Classification With Deep CNN and Gabor Filteringbreakdown → | 172 |
| 8 | 20 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 19 | |
| 13 | 47 | |
| 14 | 5 | |
| 15 | 5 | |
| 16 | 2 | |
| 17 | 149 | |
| 18 | 65 | |
| 19 | 2 | |
| 20 | 1 |
About Anum Mehmood
Anum Mehmood is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Oral Surgery, having authored 24 papers that have together received 673 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (7 papers), Digital Media Forensic Detection (4 papers) and Chaos-based Image/Signal Encryption (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (307 citations), Media Technology (96 citations) and Health Information Management (39 citations). Anum Mehmood has collaborated with scholars based in China, Pakistan and United States. Frequent co-authors include Uzair Aslam Bhatti, Saqib Ali Nawaz, Zhaoyuan Yu, Linwang Yuan, Mengxing Huang, Di Wu, Mughair Aslam Bhatti, Qurat Ul Ain, Zeeshan Zeeshan and Huirui Han. Their work appears in journals such as PLoS ONE, IEEE Transactions on Geoscience and Remote Sensing 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.