Noushath Shaffi
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Media Technology top 5%
- Neurology top 10%
- Signal Processing top 10%
- Co-authors
- G. Hemantha KumarVimbi ViswanMufti MahmudPalaiahnakote ShivakumaraFaizal HajamohideenS. KarthikeyanV. N. Manjunath AradhyaAshok Rao
- Topics
- Handwritten Text Recognition Techniques (11 papers)Face and Expression Recognition (7 papers)Image Retrieval and Classification Techniques (6 papers)
- Partner nations
- United KingdomIndiaOman
In The Last Decade
Noushath Shaffi
24 papers receiving 528 citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Computer Vision and Pattern Recognition 271
- Artificial Intelligence 166
- Media Technology 93
- Neurology 78
- Signal Processing 67
Countries citing papers authored by Noushath Shaffi
This map shows the geographic impact of Noushath Shaffi'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 Noushath Shaffi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noushath Shaffi more than expected).
Fields of papers citing papers by Noushath Shaffi
This network shows the impact of papers produced by Noushath Shaffi. 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 Noushath Shaffi. The network helps show where Noushath Shaffi may publish in the future.
Co-authorship network of co-authors of Noushath Shaffi
This figure shows the co-authorship network connecting the top 25 collaborators of Noushath Shaffi. A scholar is included among the top collaborators of Noushath Shaffi 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 Noushath Shaffi. Noushath Shaffi 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 | 5 | |
| 4 | 7 | |
| 5 | 0 | |
| 6 | Interpreting artificial intelligence models: a systematic review on the application of LIME and SHAP in Alzheimer’s disease detectionbreakdown → | 134 |
| 7 | 12 | |
| 8 | 55 | |
| 9 | 2 | |
| 10 | 72 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 9 | |
| 14 | 15 | |
| 15 | 1 | |
| 16 | 3 | |
| 17 | 32 | |
| 18 | 1 | |
| 19 | A New Contour Based Invariant Feature Extraction Approach for the Recognition of Multi-lingual Documents | 0 |
| 20 | Feature Extraction for Alphanumeric Symbols Recognition: An Approach Based on Distance Measures. | 1 |
About Noushath Shaffi
Noushath Shaffi is a scholar working on Health Informatics, Computer Vision and Pattern Recognition and Health Information Management, having authored 31 papers that have together received 573 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (11 papers), Face and Expression Recognition (7 papers) and Image Retrieval and Classification Techniques (6 papers). The work is most often cited by research in Health Informatics (40 citations), Computer Vision and Pattern Recognition (271 citations) and Media Technology (93 citations). Noushath Shaffi has collaborated with scholars based in United Kingdom, India and Oman. Frequent co-authors include G. Hemantha Kumar, Vimbi Viswan, Mufti Mahmud, Palaiahnakote Shivakumara, Faizal Hajamohideen, S. Karthikeyan, V. N. Manjunath Aradhya, Ashok Rao, Abdelhamid Abdesselam and Prasenjit Dey. Their work appears in journals such as Pattern Recognition, Neurocomputing and Engineering Applications of Artificial Intelligence.
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.