Irfan Ullah Khan

137 papers and 2.0k indexed citations i.

About

Irfan Ullah Khan is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Information Systems. According to data from OpenAlex, Irfan Ullah Khan has authored 137 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Artificial Intelligence, 20 papers in Radiology, Nuclear Medicine and Imaging and 17 papers in Information Systems. Recurrent topics in Irfan Ullah Khan’s work include Sentiment Analysis and Opinion Mining (22 papers), Advanced Text Analysis Techniques (17 papers) and Artificial Intelligence in Healthcare (12 papers). Irfan Ullah Khan is often cited by papers focused on Sentiment Analysis and Opinion Mining (22 papers), Advanced Text Analysis Techniques (17 papers) and Artificial Intelligence in Healthcare (12 papers). Irfan Ullah Khan collaborates with scholars based in Pakistan, Saudi Arabia and Malaysia. Irfan Ullah Khan's co-authors include Nida Aslam, Muhammad Zubair Asghar, Shakeel Ahmad, Fazal Masud Kundi, Atiqur Rahman, Liaqat Ali, Sumayh S. Aljameel, Javed Ali Khan, Ashir Javeed and Mingyi Zhou and has published in prestigious journals such as Angewandte Chemie International Edition, PLoS ONE and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Irfan Ullah Khan i

Fields of papers citing papers by Irfan Ullah Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Irfan Ullah Khan

Since Specialization
Citations

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