Shazia Riaz
- Water Science and Technology
- Molecular Biology
- Artificial Intelligence
- Obstetrics and Gynecology
- Computer Vision and Pattern Recognition
- Co-authors
- Zain Anwar AliZhijie WangSaqib AliGuojun WangXiangyong LiuMiao HuDaehan KwakQuan Z. Sheng
- Topics
- Acute Lymphoblastic Leukemia research (4 papers)Adversarial Robustness in Machine Learning (3 papers)Lymphoma Diagnosis and Treatment (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaBloodIEEE Access
In The Last Decade
Shazia Riaz
22 papers receiving 185 citations
Peers
Comparison fields: 5 of 75
- Water Science and Technology 63
- Molecular Biology 47
- Artificial Intelligence 41
- Obstetrics and Gynecology 34
- Computer Vision and Pattern Recognition 26
Countries citing papers authored by Shazia Riaz
This map shows the geographic impact of Shazia Riaz'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 Shazia Riaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shazia Riaz more than expected).
Fields of papers citing papers by Shazia Riaz
This network shows the impact of papers produced by Shazia Riaz. 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 Shazia Riaz. The network helps show where Shazia Riaz may publish in the future.
Co-authorship network of co-authors of Shazia Riaz
This figure shows the co-authorship network connecting the top 25 collaborators of Shazia Riaz. A scholar is included among the top collaborators of Shazia Riaz 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 Shazia Riaz. Shazia Riaz 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 | 5 | |
| 5 | 1 | |
| 6 | 12 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 0 | |
| 12 | 2 | |
| 13 | 30 | |
| 14 | 1 | |
| 15 | Efficacy Of 17- Α-Hydroxy-Progestrone In Prevention Of Preterm Labour In High Risk Pregnant Women. | 1 |
| 16 | 3 | |
| 17 | 2 | |
| 18 | 0 | |
| 19 | Frequency of fibroid uterus in multipara women in a tertiary care centre in Rawalpindi. | 11 |
| 20 | Endometrial pathology by endometrial curettage in menorrhagia in premenopausal age group. | 11 |
About Shazia Riaz
Shazia Riaz is a scholar working on Health Informatics, Obstetrics and Gynecology and Hematology, having authored 30 papers that have together received 198 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (4 papers), Adversarial Robustness in Machine Learning (3 papers) and Lymphoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Water Science and Technology (63 citations), Obstetrics and Gynecology (34 citations) and Nature and Landscape Conservation (18 citations). Shazia Riaz has collaborated with scholars based in Pakistan, China and Australia. Frequent co-authors include Zain Anwar Ali, Zhijie Wang, Saqib Ali, Guojun Wang, Guojun Wang, Xiangyong Liu, Miao Hu, Daehan Kwak, Quan Z. Sheng and Yipeng Zhou. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood 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.