Roliana Ibrahim

About

Roliana Ibrahim is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Roliana Ibrahim has authored 70 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 25 papers in Information Systems and 10 papers in Management Science and Operations Research. Recurrent topics in Roliana Ibrahim’s work include Recommender Systems and Techniques (11 papers), Sentiment Analysis and Opinion Mining (9 papers) and Text and Document Classification Technologies (7 papers). Roliana Ibrahim is often cited by papers focused on Recommender Systems and Techniques (11 papers), Sentiment Analysis and Opinion Mining (9 papers) and Text and Document Classification Technologies (7 papers). Roliana Ibrahim collaborates with scholars based in Malaysia, Iran and Czechia. Roliana Ibrahim's co-authors include Ali Selamat, Philip Achimugu, Mohd Naz’ri Mahrin, Hamido Fujita, Imran Ghani, Mohd Shahizan Othman, Ondřej Krejcar, Bahram Amini, Azizah Abdul Rahman and Nor Zairah Ab. Rahim and has published in prestigious journals such as Scientific Reports, Computers in Human Behavior and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Roliana Ibrahim i

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Fields of papers citing papers by Roliana Ibrahim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Roliana Ibrahim

Since Specialization

Citations

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