Saleem Ullah

65 papers and 2.1k indexed citations i.

About

Saleem Ullah is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Saleem Ullah has authored 65 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 15 papers in Information Systems and 9 papers in Computer Networks and Communications. Recurrent topics in Saleem Ullah’s work include Spam and Phishing Detection (12 papers), Sentiment Analysis and Opinion Mining (11 papers) and Text and Document Classification Technologies (5 papers). Saleem Ullah is often cited by papers focused on Spam and Phishing Detection (12 papers), Sentiment Analysis and Opinion Mining (11 papers) and Text and Document Classification Technologies (5 papers). Saleem Ullah collaborates with scholars based in Pakistan, South Korea and China. Saleem Ullah's co-authors include Gyu Sang Choi, Arif Mehmood, Muhammad Umer, Furqan Rustam, Saima Sadiq, Imran Ashraf, Aijaz Ahmad Reshi, Byung-Won On, Seyedali Mirjalili and Maqsood Ahmad and has published in prestigious journals such as Expert Systems with Applications, Sensors and IEEE Access.

In The Last Decade

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

Fields of papers citing papers by Saleem Ullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Saleem Ullah

Since Specialization
Citations

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