Imran Ashraf

340 papers and 3.9k indexed citations i.

About

Imran Ashraf is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Imran Ashraf has authored 340 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 125 papers in Artificial Intelligence, 67 papers in Information Systems and 55 papers in Computer Networks and Communications. Recurrent topics in Imran Ashraf’s work include Sentiment Analysis and Opinion Mining (38 papers), COVID-19 diagnosis using AI (23 papers) and Spam and Phishing Detection (21 papers). Imran Ashraf is often cited by papers focused on Sentiment Analysis and Opinion Mining (38 papers), COVID-19 diagnosis using AI (23 papers) and Spam and Phishing Detection (21 papers). Imran Ashraf collaborates with scholars based in South Korea, Pakistan and Spain. Imran Ashraf's co-authors include Furqan Rustam, Soojung Hur, Yongwan Park, Gyu Sang Choi, Arif Mehmood, Lester Ho, Isabel de la Torre Díez, Saleem Ullah, Ernesto Lee and Muhammad Umer and has published in prestigious journals such as Gastroenterology, PLoS ONE and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Imran Ashraf i

Fields of papers citing papers by Imran Ashraf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Imran Ashraf

Since Specialization
Citations

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