Talha Qaiser

12 papers and 415 indexed citations i.

About

Talha Qaiser is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Talha Qaiser has authored 12 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Talha Qaiser’s work include AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Digital Imaging for Blood Diseases (4 papers). Talha Qaiser is often cited by papers focused on AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Digital Imaging for Blood Diseases (4 papers). Talha Qaiser collaborates with scholars based in United Kingdom, United Arab Emirates and Pakistan. Talha Qaiser's co-authors include Nasir Rajpoot, Kazuaki Nakane, Yee‐Wah Tsang, D. B. A. Epstein, Syed Ali Khurram, Daiki Taniyama, Simon Graham, Naoya Sakamoto, Muhammad Shaban and Jin Tae Kwak and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Oncotarget and BMJ Open.

In The Last Decade

Co-authorship network of co-authors of Talha Qaiser i

Fields of papers citing papers by Talha Qaiser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Talha Qaiser

Since Specialization
Citations

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