Nadia Gul

10 papers and 530 indexed citations i.

About

Nadia Gul is a scholar working on Neurology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Nadia Gul has authored 10 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Neurology, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Artificial Intelligence. Recurrent topics in Nadia Gul’s work include Brain Tumor Detection and Classification (7 papers), Advanced Neural Network Applications (4 papers) and COVID-19 diagnosis using AI (3 papers). Nadia Gul is often cited by papers focused on Brain Tumor Detection and Classification (7 papers), Advanced Neural Network Applications (4 papers) and COVID-19 diagnosis using AI (3 papers). Nadia Gul collaborates with scholars based in Pakistan, United States and Lebanon. Nadia Gul's co-authors include Javeria Amin, Muhammad Sharif, Muhammad Almas Anjum, Muhammad Wasif Nisar, Mussarat Yasmin, Shafqat Ali Shad, Syed Muhammad Anwar, Muhammad Majid, Seifedine Kadry and Muhammad Nadeem Majeed and has published in prestigious journals such as Expert Systems with Applications, Pattern Recognition Letters and Neural Computing and Applications.

In The Last Decade

Co-authorship network of co-authors of Nadia Gul i

Fields of papers citing papers by Nadia Gul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nadia Gul

Since Specialization
Citations

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