Sadia Riaz
Impact in
- Geometry and Topology top 5%
- Analytic and geometric function theory
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
Papers in
-
- Analytic and geometric function theory 8
- Co-authors
- Rutsuko Ito (6 shared papers)Anett Schumacher (2 shared papers)Sarfraz Nawaz Malik (6 shared papers)Andy Lee (2 shared papers)Shahid Mahmood (3 shared papers)Khalida Inayat Noor (2 shared papers)H. M. Srivastava (1 shared paper)Matthijs A. A. van der Meer (1 shared paper)
- Journals
- Scientific Reports (1 paper)Current Biology (1 paper)International Journal of Emerging Technologies in Learning (iJET) (1 paper)Cell Reports (1 paper)Neuropsychopharmacology (1 paper)
- Partner nations
- United Arab EmiratesPakistanCanada
In The Last Decade
Sadia Riaz
41 papers receiving 353 citations
Peers
Comparison fields: 5 of 95
- Geometry and Topology 94
- Behavioral Neuroscience 39
- Cognitive Neuroscience 110
- Applied Mathematics 49
- Cellular and Molecular Neuroscience 80
Countries citing papers authored by Sadia Riaz
This map shows the geographic impact of Sadia 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 Sadia Riaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sadia Riaz more than expected).
Fields of papers citing papers by Sadia Riaz
This network shows the impact of papers produced by Sadia 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 Sadia Riaz. The network helps show where Sadia Riaz may publish in the future.
Co-authors
The 25 scholars most cited alongside Sadia Riaz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 69 | |
| 2 | 2018 | 48 | |
| 3 | 2017 | 34 | |
| 4 | 2019 | 28 | |
| 5 | 2019 | 27 | |
| 6 | 2017 | 16 | |
| 7 | 2022 | 14 | |
| 8 | 2010 | 12 | |
| 9 | 2022 | 11 | |
| 10 | 2021 | 10 | |
| 11 | 2019 | 9 | |
| 12 | 2020 | 8 | |
| 13 | 2019 | 8 | |
| 14 | 2018 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2022 | 5 | |
| 17 | 2021 | 4 | |
| 18 | 2011 | 4 | |
| 19 | 2019 | 4 | |
| 20 | 2020 | 4 |
About Sadia Riaz
Sadia Riaz is a scholar working on Sociology and Political Science, Geometry and Topology, Information Systems, Artificial Intelligence and Management Information Systems, having authored 47 papers that have together received 366 indexed citations. Recurring topics across this work include Analytic and geometric function theory (8 papers), Big Data and Business Intelligence (4 papers), Memory and Neural Mechanisms (4 papers), Organizational and Employee Performance (4 papers), Supply Chain Resilience and Risk Management (3 papers), Innovative Human-Technology Interaction (3 papers), Stress Responses and Cortisol (3 papers) and Color perception and design (3 papers). The work is most often cited by research in Geometry and Topology (94 citations), Behavioral Neuroscience (39 citations), Cognitive Neuroscience (110 citations), Applied Mathematics (49 citations) and Cellular and Molecular Neuroscience (80 citations). Sadia Riaz has collaborated with scholars based in United Arab Emirates, Pakistan and Canada. Frequent co-authors include Rutsuko Ito, Anett Schumacher, Sarfraz Nawaz Malik, Andy Lee, Shahid Mahmood, Khalida Inayat Noor, H. M. Srivastava, Matthijs A. A. van der Meer, Shailesh Jain and Qin Xin. Their work appears in journals such as Scientific Reports, Current Biology, International Journal of Emerging Technologies in Learning (iJET), Cell Reports and Neuropsychopharmacology.
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.