Suraya Yaacob

26 papers and 178 indexed citations i.

About

Suraya Yaacob is a scholar working on Management Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Suraya Yaacob has authored 26 papers receiving a total of 178 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Management Information Systems, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Artificial Intelligence. Recurrent topics in Suraya Yaacob’s work include Big Data and Business Intelligence (4 papers), Data Visualization and Analytics (3 papers) and Mechanical Behavior of Composites (3 papers). Suraya Yaacob is often cited by papers focused on Big Data and Business Intelligence (4 papers), Data Visualization and Analytics (3 papers) and Mechanical Behavior of Composites (3 papers). Suraya Yaacob collaborates with scholars based in Malaysia, China and United Kingdom. Suraya Yaacob's co-authors include M.S. Abdul Majid, Nur Azaliah Abu Bakar, M.J.M. Ridzuan, Noor Hafizah Hassan, A.G. Gibson, Pranesh Krishnan, M. Afendi, R. Nagarajan, Pandian Vasant and Azri Azmi and has published in prestigious journals such as Journal of the Operational Research Society, Composite Structures and American Journal of Applied Sciences.

In The Last Decade

Co-authorship network of co-authors of Suraya Yaacob i

Fields of papers citing papers by Suraya Yaacob

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Suraya Yaacob

Since Specialization
Citations

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