Talha Meraj

22 papers and 429 indexed citations i.

About

Talha Meraj is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Talha Meraj has authored 22 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Talha Meraj’s work include COVID-19 diagnosis using AI (4 papers), Misinformation and Its Impacts (4 papers) and Lung Cancer Diagnosis and Treatment (3 papers). Talha Meraj is often cited by papers focused on COVID-19 diagnosis using AI (4 papers), Misinformation and Its Impacts (4 papers) and Lung Cancer Diagnosis and Treatment (3 papers). Talha Meraj collaborates with scholars based in Pakistan, United Kingdom and Saudi Arabia. Talha Meraj's co-authors include Hafiz Tayyab Rauf, Saeed Ur Rehman, Amerah Alabrah, Robertas Damaševičius, Mohammed A. El-Meligy, Rabbia Mahum, Ahmed M. El‐Sherbeeny, M. Sultan Zia, M. Ikram Ullah Lali and Syed Bukhari and has published in prestigious journals such as Sensors, Applied Sciences and Neural Computing and Applications.

In The Last Decade

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

Fields of papers citing papers by Talha Meraj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Talha Meraj

Since Specialization
Citations

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