Sajida Perveen

9 papers and 324 indexed citations i.

About

Sajida Perveen is a scholar working on Artificial Intelligence, Health Information Management and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Sajida Perveen has authored 9 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Health Information Management and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Sajida Perveen’s work include Artificial Intelligence in Healthcare (5 papers), Machine Learning in Healthcare (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers). Sajida Perveen is often cited by papers focused on Artificial Intelligence in Healthcare (5 papers), Machine Learning in Healthcare (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers). Sajida Perveen collaborates with scholars based in Pakistan, Canada and Saudi Arabia. Sajida Perveen's co-authors include Karim Keshavjee, Aziz Guergachi, Muhammad Shahbaz, Muhammad Qaiser Shahbaz, Tanzila Saba, Amjad Rehman, Muhammad Usman Ashraf, Abdullah Alourani, Rehan Ashraf and Toqeer Mahmood and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Sajida Perveen i

Fields of papers citing papers by Sajida Perveen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sajida Perveen. 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 Sajida Perveen. The network helps show where Sajida Perveen may publish in the future.

Countries citing papers authored by Sajida Perveen

Since Specialization
Citations

This map shows the geographic impact of Sajida Perveen'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 Sajida Perveen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sajida Perveen more than expected).

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.

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2025