Muhammad Abulaish

60 papers and 649 indexed citations i.

About

Muhammad Abulaish is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Muhammad Abulaish has authored 60 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 32 papers in Information Systems and 14 papers in Statistical and Nonlinear Physics. Recurrent topics in Muhammad Abulaish’s work include Spam and Phishing Detection (16 papers), Complex Network Analysis Techniques (14 papers) and Advanced Text Analysis Techniques (12 papers). Muhammad Abulaish is often cited by papers focused on Spam and Phishing Detection (16 papers), Complex Network Analysis Techniques (14 papers) and Advanced Text Analysis Techniques (12 papers). Muhammad Abulaish collaborates with scholars based in India, Saudi Arabia and Australia. Muhammad Abulaish's co-authors include Faraz Ahmed, Lipika Dey, Tarique Anwar, Mohammed J. Zaki, Nur Al Hasan Haldar, Majed Alrubaian, Naidu Subbarao, Abdulrahman Mirza, M. Zubair Rafique and Muhammad Yasin and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Muhammad Abulaish i

Fields of papers citing papers by Muhammad Abulaish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Muhammad Abulaish

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025