Razali Yaakob

63 papers and 524 indexed citations
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About

Razali Yaakob is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Razali Yaakob has authored 63 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 13 papers in Signal Processing. Recurrent topics in Razali Yaakob’s work include Data Management and Algorithms (8 papers), Morphological variations and asymmetry (6 papers) and COVID-19 diagnosis using AI (5 papers). Razali Yaakob is often cited by papers focused on Data Management and Algorithms (8 papers), Morphological variations and asymmetry (6 papers) and COVID-19 diagnosis using AI (5 papers). Razali Yaakob collaborates with scholars based in Malaysia, Iraq and Nigeria. Razali Yaakob's co-authors include Norwati Mustapha, Rusli Abdullah, Nurfadhlina Mohd Sharef, Thinagaran Perumal, R. T. Mohammed, A. A. Zaidan, B. B. Zaidan, O. S. Albahri, Karrar Hameed Abdulkareem and Abdul Ghani and has published in prestigious journals such as PLoS ONE, Scientific Reports and BMC Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Razali Yaakob

This figure shows the co-authorship network connecting the top 25 collaborators of Razali Yaakob. A scholar is included among the top collaborators of Razali Yaakob based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Razali Yaakob. Razali Yaakob is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Razali Yaakob

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Razali Yaakob

Since Specialization
Citations

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