Ruzinoor Che Mat

57 total papers · 493 total citations
34 papers, 301 citations indexed

About

Ruzinoor Che Mat is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Developmental and Educational Psychology. According to data from OpenAlex, Ruzinoor Che Mat has authored 34 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 9 papers in Information Systems and 8 papers in Developmental and Educational Psychology. Recurrent topics in Ruzinoor Che Mat's work include Augmented Reality Applications (7 papers), 3D Modeling in Geospatial Applications (6 papers) and Educational Games and Gamification (6 papers). Ruzinoor Che Mat is often cited by papers focused on Augmented Reality Applications (7 papers), 3D Modeling in Geospatial Applications (6 papers) and Educational Games and Gamification (6 papers). Ruzinoor Che Mat collaborates with scholars based in Malaysia, Saudi Arabia and Japan. Ruzinoor Che Mat's co-authors include Abdul Nasir Zulkifli, Juliana Aida Abu Bakar, Valarmathie Gopalan, Abdul Rashid Mohamed Shariff, Ahmad Rodzi Mahmud, Mazida Ahmad, Noraini Nordin, Siti Norezam Othman, Biswajeet Pradhan and Norani Nordin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Education and Information Technologies and Arabian Journal of Geosciences.

In The Last Decade

Ruzinoor Che Mat

30 papers receiving 271 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ruzinoor Che Mat	102	68	57	39	33	34	301
Nicoleta Maynard	137 1.3×	40 0.6×	28 0.5×	35 0.9×	29 0.9×	27	366
Aslina Baharum	41 0.4×	54 0.8×	32 0.6×	23 0.6×	15 0.5×	61	318
Núria Martí Audí	68 0.7×	83 1.2×	132 2.3×	45 1.2×	42 1.3×	23	350
Jixin Wang	61 0.6×	36 0.5×	104 1.8×	29 0.7×	7 0.2×	28	346
Xiaojie Li	74 0.7×	53 0.8×	119 2.1×	45 1.2×	8 0.2×	36	362
Leyla Norooz	87 0.9×	53 0.8×	63 1.1×	34 0.9×	12 0.4×	16	304
Francesc Valls Dalmau	28 0.3×	52 0.8×	89 1.6×	33 0.8×	59 1.8×	29	317
Shih-Yeh Chen	65 0.6×	102 1.5×	75 1.3×	73 1.9×	15 0.5×	25	324
Takaya Yuizono	28 0.3×	34 0.5×	48 0.8×	17 0.4×	34 1.0×	47	223
David A. McMeekin	25 0.2×	59 0.9×	33 0.6×	22 0.6×	26 0.8×	51	299

Countries citing papers authored by Ruzinoor Che Mat

Since Specialization

Citations

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

Fields of papers citing papers by Ruzinoor Che Mat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruzinoor Che Mat. 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 Ruzinoor Che Mat. The network helps show where Ruzinoor Che Mat may publish in the future.

Co-authorship network of co-authors of Ruzinoor Che Mat

This figure shows the co-authorship network connecting the top 25 collaborators of Ruzinoor Che Mat. A scholar is included among the top collaborators of Ruzinoor Che Mat 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 Ruzinoor Che Mat. Ruzinoor Che Mat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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