Irfan Ullah

29 papers and 216 indexed citations i.

About

Irfan Ullah is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Irfan Ullah has authored 29 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Information Systems, 14 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Irfan Ullah’s work include Information Retrieval and Search Behavior (9 papers), Topic Modeling (8 papers) and Web Data Mining and Analysis (8 papers). Irfan Ullah is often cited by papers focused on Information Retrieval and Search Behavior (9 papers), Topic Modeling (8 papers) and Web Data Mining and Analysis (8 papers). Irfan Ullah collaborates with scholars based in Pakistan, China and South Korea. Irfan Ullah's co-authors include Shah Khusro, Shah Khalid, Aftab Alam, Shengli Wu, Shaukat Ali, Zafar Ali, Pavlos Kefalas, Abdul Wahid, Muhammad Sajad and M. Naeem and has published in prestigious journals such as IEEE Access, Applied Sciences and Artificial Intelligence Review.

In The Last Decade

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

Fields of papers citing papers by Irfan Ullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Irfan Ullah

Since Specialization
Citations

This map shows the geographic impact of Irfan Ullah'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 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 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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