Asma Naseer

20 papers and 192 indexed citations i.

About

Asma Naseer is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Asma Naseer has authored 20 papers receiving a total of 192 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Asma Naseer’s work include AI in cancer detection (6 papers), Image Retrieval and Classification Techniques (5 papers) and Handwritten Text Recognition Techniques (5 papers). Asma Naseer is often cited by papers focused on AI in cancer detection (6 papers), Image Retrieval and Classification Techniques (5 papers) and Handwritten Text Recognition Techniques (5 papers). Asma Naseer collaborates with scholars based in Pakistan, Saudi Arabia and Germany. Asma Naseer's co-authors include Kashif Zafar, Volker Gruhn, Ayesha Khan, Sheeraz Akram, Awais Ahmad, Rabia Shahid, Sarmad Hussain and Summrina Kanwal and has published in prestigious journals such as IEEE Access, The Computer Journal and Multimedia Tools and Applications.

In The Last Decade

Co-authorship network of co-authors of Asma Naseer i

Fields of papers citing papers by Asma Naseer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Asma Naseer

Since Specialization
Citations

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