Universiti Teknologi MARA

40.9k papers and 380.3k indexed citations

About

In recent decades, authors affiliated with Universiti Teknologi MARA have published 40.9k papers, which have received a total of 380.3k indexed citations. Scholars at this organization have produced 4.6k papers in Electrical and Electronic Engineering, 3.8k papers in Sociology and Political Science and 3.0k papers in Education on the topics of Islamic Finance and Banking Studies (2.0k papers), Education and Islamic Studies (1.1k papers) and Technology Adoption and User Behaviour (826 papers). Their work is cited by papers focused on Biomedical Engineering (43.4k citations), Electrical and Electronic Engineering (39.5k citations) and Materials Chemistry (36.8k citations). Authors at Universiti Teknologi MARA collaborate with scholars in Malaysia, Indonesia and United Kingdom and have published in prestigious journals including The Lancet, Journal of the American Chemical Society and Nucleic Acids Research. Some of Universiti Teknologi MARA's most productive authors include Ali H. Jawad, Ahmed Saud Abdulhameed, Tin Wui Wong, Firdaus Abdullah, Chun‐Yang Yin, M. Rusop, Siu Hua Chang, K.L. Pickering, Megat Ahmad Kamal Megat Hanafiah and Mohammad Asadullah.

In The Last Decade

Universiti Teknologi MARA

34.4k papers receiving 371.6k citations

Countries citing scholars working at Universiti Teknologi MARA

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Universiti Teknologi MARA. 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 papers produced at Universiti Teknologi MARA with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Universiti Teknologi MARA more than expected).

Fields of papers published by authors at Universiti Teknologi MARA

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Universiti Teknologi MARA at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Universiti Teknologi MARA at the time of their publication.

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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