Maliha Agha
- Economics and Econometrics top 0.5%
- Clinical Psychology top 2%
- Modeling and Simulation top 0.2%
- Sociology and Political Science top 2%
- Infectious Diseases top 2%
- Co-authors
- Riaz AghaCatrin SohrabiMaria NicolaAhmed KerwanAhmed Al‐JabirZaid AlsafiChristos IosifidisGinimol Mathew
- Topics
- Artificial Intelligence in Healthcare and Education (4 papers)Obesity, Physical Activity, Diet (3 papers)Radiomics and Machine Learning in Medical Imaging (2 papers)
- Partner nations
- United KingdomUnited StatesNew Zealand
In The Last Decade
Maliha Agha
18 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 205
- Economics and Econometrics 1.6k
- Clinical Psychology 1.1k
- Modeling and Simulation 838
- Sociology and Political Science 814
- Infectious Diseases 771
Countries citing papers authored by Maliha Agha
This map shows the geographic impact of Maliha Agha'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 Maliha Agha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maliha Agha more than expected).
Fields of papers citing papers by Maliha Agha
This network shows the impact of papers produced by Maliha Agha. 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 Maliha Agha. The network helps show where Maliha Agha may publish in the future.
Co-authorship network of co-authors of Maliha Agha
This figure shows the co-authorship network connecting the top 25 collaborators of Maliha Agha. A scholar is included among the top collaborators of Maliha Agha 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 Maliha Agha. Maliha Agha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Revised Surgical CAse REport (SCARE) Guideline: An Update for the Age of Artificial Intelligencebreakdown → | 90 |
| 2 | 8 | |
| 3 | 5 | |
| 4 | Transparency in the Reporting of Artificial Intelligence – The TITAN Guidelinebreakdown → | 38 |
| 5 | 3 | |
| 6 | PRISMA 2020 statement: What's new and the importance of reporting guidelinesbreakdown → | 154 |
| 7 | 123 | |
| 8 | 118 | |
| 9 | 265 | |
| 10 | The socio-economic implications of the coronavirus pandemic (COVID-19): A reviewbreakdown → | 4354 |
| 11 | The rising prevalence of obesity: part A: impact on public healthbreakdown → | 271 |
| 12 | 24 | |
| 13 | 71 | |
| 14 | 2 | |
| 15 | 4 | |
| 16 | 6 | |
| 17 | 2 | |
| 18 | 2 |
About Maliha Agha
Maliha Agha is a scholar working on Health Informatics, Modeling and Simulation and Pharmacy, having authored 18 papers that have together received 5.5k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (4 papers), Obesity, Physical Activity, Diet (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Modeling and Simulation (838 citations), Economics and Econometrics (1.6k citations) and Clinical Psychology (1.1k citations). Maliha Agha has collaborated with scholars based in United Kingdom, United States and New Zealand. Frequent co-authors include Riaz Agha, Catrin Sohrabi, Maria Nicola, Ahmed Kerwan, Ahmed Al‐Jabir, Zaid Alsafi, Christos Iosifidis, Ginimol Mathew, Thomas Franchi and Niamh O’Neill. Their work appears in journals such as PLoS ONE, International Journal of Gynecology & Obstetrics and International Journal of Surgery.
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.