Umair Khan

26 papers and 478 indexed citations i.

About

Umair Khan is a scholar working on Artificial Intelligence, Signal Processing and Plant Science. According to data from OpenAlex, Umair Khan has authored 26 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 8 papers in Signal Processing and 5 papers in Plant Science. Recurrent topics in Umair Khan’s work include Speech and Audio Processing (7 papers), Speech Recognition and Synthesis (7 papers) and Music and Audio Processing (7 papers). Umair Khan is often cited by papers focused on Speech and Audio Processing (7 papers), Speech Recognition and Synthesis (7 papers) and Music and Audio Processing (7 papers). Umair Khan collaborates with scholars based in Pakistan, South Korea and Spain. Umair Khan's co-authors include Muazzam Maqsood, Farhan Aadil, Irfan Mehmood, Oh-Young Song, Muazzam A. Khan, Kashif Mehmood, Ayyaz Hussain, Saeed Ur Rehman, Habibullah Jamal and Sitara Afzal and has published in prestigious journals such as Chemosphere, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Umair Khan i

Fields of papers citing papers by Umair Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Umair Khan

Since Specialization
Citations

This map shows the geographic impact of Umair 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 Umair Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Umair 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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2025