Muhammad Gufran Khan

10 papers and 225 indexed citations i.

About

Muhammad Gufran Khan is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Muhammad Gufran Khan has authored 10 papers receiving a total of 225 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Electrical and Electronic Engineering and 3 papers in Artificial Intelligence. Recurrent topics in Muhammad Gufran Khan’s work include Ultra-Wideband Communications Technology (3 papers), Anomaly Detection Techniques and Applications (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Muhammad Gufran Khan is often cited by papers focused on Ultra-Wideband Communications Technology (3 papers), Anomaly Detection Techniques and Applications (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Muhammad Gufran Khan collaborates with scholars based in Pakistan, Sweden and Germany. Muhammad Gufran Khan's co-authors include Benny Sällberg, Uzair Khaleeq uz Zaman, Muhammad Shahid, Benny Lövström, Khalid Hussain, Fredrik Tufvesson, Ingvar Claesson and Jörgen Nordberg and has published in prestigious journals such as IEEE Access, Applied Sciences and Complexity.

In The Last Decade

Co-authorship network of co-authors of Muhammad Gufran Khan i

Fields of papers citing papers by Muhammad Gufran Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muhammad Gufran Khan. 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 Muhammad Gufran Khan. The network helps show where Muhammad Gufran Khan may publish in the future.

Countries citing papers authored by Muhammad Gufran Khan

Since Specialization
Citations

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