Muhammad Asim

79 papers and 821 indexed citations i.

About

Muhammad Asim is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Muhammad Asim has authored 79 papers receiving a total of 821 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 26 papers in Artificial Intelligence and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Muhammad Asim’s work include UAV Applications and Optimization (9 papers), Advanced Neural Network Applications (7 papers) and Chaos-based Image/Signal Encryption (7 papers). Muhammad Asim is often cited by papers focused on UAV Applications and Optimization (9 papers), Advanced Neural Network Applications (7 papers) and Chaos-based Image/Signal Encryption (7 papers). Muhammad Asim collaborates with scholars based in Saudi Arabia, China and Pakistan. Muhammad Asim's co-authors include Ahmed A. Abd El‐Latif, Mohammed ElAffendi, Varun Jeoti, Milan Petković, Zuping Zhang, Luan Ibraimi, Guanrong Chen, Gonzalo Álvarez, Chengqing Li and Shujun Li and has published in prestigious journals such as PLoS ONE, Scientific Reports and Sensors.

In The Last Decade

Co-authorship network of co-authors of Muhammad Asim i

Fields of papers citing papers by Muhammad Asim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Muhammad Asim

Since Specialization
Citations

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