Faiza Farhat
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
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- Online Learning and Analytics
Papers in
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- Artificial Intelligence in Healthcare and Education 8
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- COVID-19 diagnosis using AI 6
- Radiomics and Machine Learning in Medical Imaging 2
- Co-authors
- Shahab Saquib Sohail (11 shared papers)Dag Øivind Madsen (10 shared papers)Mohammad Nadeem (4 shared papers)Yassine Himeur (4 shared papers)Wathiq Mansoor (2 shared papers)Shadi Atalla (2 shared papers)Yashbir Singh (2 shared papers)Beenish Moalla Chaudhry (1 shared paper)
- Journals
- Experimental Parasitology (2 papers)Frontiers in Microbiology (1 paper)Journal of Academic Ethics (1 paper)Parasitology Research (1 paper)JMIR Medical Education (1 paper)
- Partner nations
- IndiaNorwayUnited Arab Emirates
In The Last Decade
Faiza Farhat
15 papers receiving 293 citations
Peers
Comparison fields: 5 of 104
- Health Informatics 138
- Computer Science Applications 21
- Applied Microbiology and Biotechnology 7
- Artificial Intelligence 109
- Radiology, Nuclear Medicine and Imaging 68
Countries citing papers authored by Faiza Farhat
This map shows the geographic impact of Faiza Farhat'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 Faiza Farhat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Faiza Farhat more than expected).
Fields of papers citing papers by Faiza Farhat
This network shows the impact of papers produced by Faiza Farhat. 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 Faiza Farhat. The network helps show where Faiza Farhat may publish in the future.
Co-authors
The 25 scholars most cited alongside Faiza Farhat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 100 | |
| 2 | 2023 | 39 | |
| 3 | 2023 | 35 | |
| 4 | 2023 | 34 | |
| 5 | 2024 | 26 | |
| 6 | 2023 | 21 | |
| 7 | 2023 | 13 | |
| 8 | 2023 | 12 | |
| 9 | 2023 | 10 | |
| 10 | 2024 | 6 | |
| 11 | 2022 | 2 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 1 | |
| 14 | 2019 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2023 | 0 |
About Faiza Farhat
Faiza Farhat is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Parasitology and Small Animals, having authored 16 papers that have together received 303 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (8 papers), COVID-19 diagnosis using AI (6 papers), Parasites and Host Interactions (4 papers), Helminth infection and control (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Pharmacological Effects of Medicinal Plants (1 paper), Nigella sativa pharmacological applications (1 paper) and Trace Elements in Health (1 paper). The work is most often cited by research in Health Informatics (138 citations), Computer Science Applications (21 citations), Applied Microbiology and Biotechnology (7 citations), Artificial Intelligence (109 citations) and Radiology, Nuclear Medicine and Imaging (68 citations). Faiza Farhat has collaborated with scholars based in India, Norway and United Arab Emirates. Frequent co-authors include Shahab Saquib Sohail, Dag Øivind Madsen, Mohammad Nadeem, Yassine Himeur, Wathiq Mansoor, Shadi Atalla, Yashbir Singh, Beenish Moalla Chaudhry, Farheen Siddiqui and M. Afshar Alam. Their work appears in journals such as Experimental Parasitology, Frontiers in Microbiology, Journal of Academic Ethics, Parasitology Research and JMIR Medical Education.
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.