Ayesha Siddiqa
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Radiology, Nuclear Medicine and Imaging
- Signal Processing
- Information Systems
- Co-authors
- Asifullah KhanSana MalikMuhammad Almas AnjumSeifedine KadryMuhammad Sheraz Arshad MalikMuhammad SharifHabib Ullah KhanHareem Kibriya
- Topics
- Digital Imaging for Blood Diseases (2 papers)Drug-Induced Hepatotoxicity and Protection (2 papers)Chaos-based Image/Signal Encryption (2 papers)
- Cited by
- Computer Vision and Pattern RecognitionSignal ProcessingComputer Graphics and Computer-Aided Design
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEIEEE Access
- Partner nations
- PakistanSaudi ArabiaIndia
In The Last Decade
Ayesha Siddiqa
17 papers receiving 286 citations
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 238
- Artificial Intelligence 59
- Radiology, Nuclear Medicine and Imaging 33
- Signal Processing 30
- Information Systems 16
Countries citing papers authored by Ayesha Siddiqa
This map shows the geographic impact of Ayesha Siddiqa'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 Ayesha Siddiqa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayesha Siddiqa more than expected).
Fields of papers citing papers by Ayesha Siddiqa
This network shows the impact of papers produced by Ayesha Siddiqa. 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 Ayesha Siddiqa. The network helps show where Ayesha Siddiqa may publish in the future.
Co-authorship network of co-authors of Ayesha Siddiqa
This figure shows the co-authorship network connecting the top 25 collaborators of Ayesha Siddiqa. A scholar is included among the top collaborators of Ayesha Siddiqa 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 Ayesha Siddiqa. Ayesha Siddiqa 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 | 0 | |
| 4 | 14 | |
| 5 | 4 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 6 | |
| 13 | 5 | |
| 14 | 21 | |
| 15 | 43 | |
| 16 | 1 | |
| 17 | Gastrointestinal and pancreatic neuroendocrine tumours and carcinomas; a review of rare tumour type. | 0 |
| 18 | 0 | |
| 19 | EXCESSIVE UTERINE HAEMORRHAGE — A HISTOPATHOLOGICAL STUDY | 2 |
| 20 | 7 |
About Ayesha Siddiqa
Ayesha Siddiqa is a scholar working on Geriatrics and Gerontology, Obstetrics and Gynecology and Occupational Therapy, having authored 22 papers that have together received 306 indexed citations. Recurring topics across this work include Digital Imaging for Blood Diseases (2 papers), Drug-Induced Hepatotoxicity and Protection (2 papers) and Chaos-based Image/Signal Encryption (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (238 citations), Signal Processing (30 citations) and Computer Graphics and Computer-Aided Design (9 citations). Ayesha Siddiqa has collaborated with scholars based in Pakistan, Saudi Arabia and India. Frequent co-authors include Asifullah Khan, Sana Malik, Muhammad Almas Anjum, Seifedine Kadry, Muhammad Sheraz Arshad Malik, Muhammad Sharif, Habib Ullah Khan, Hareem Kibriya, Mudassar Raza and Wazir Zada Khan. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE 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.