Hikmat Ullah Khan

78 papers and 1.3k indexed citations i.

About

Hikmat Ullah Khan is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Hikmat Ullah Khan has authored 78 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 30 papers in Information Systems and 12 papers in Statistical and Nonlinear Physics. Recurrent topics in Hikmat Ullah Khan’s work include Sentiment Analysis and Opinion Mining (16 papers), Complex Network Analysis Techniques (12 papers) and Spam and Phishing Detection (9 papers). Hikmat Ullah Khan is often cited by papers focused on Sentiment Analysis and Opinion Mining (16 papers), Complex Network Analysis Techniques (12 papers) and Spam and Phishing Detection (9 papers). Hikmat Ullah Khan collaborates with scholars based in Pakistan, Saudi Arabia and United Arab Emirates. Hikmat Ullah Khan's co-authors include Muhammad Ramzan, Ahsan Mahmood, Shahid Mahmood Awan, Mahwish Ilyas, Muzamil Ahmed, Saqib Iqbal, Muhammad Shoaib Farooq, Muhammad Irfan, Mohammed Olaythah Alraddadi and Mater H. Mahnashi and has published in prestigious journals such as Journal of Applied Physics, PLoS ONE and Scientific Reports.

In The Last Decade

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

Fields of papers citing papers by Hikmat Ullah Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hikmat Ullah Khan

Since Specialization
Citations

This map shows the geographic impact of Hikmat 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 Hikmat 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 Hikmat 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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