Universitas Teknologi Indonesia

316 papers and 1.7k indexed citations i.

About

In recent decades, authors affiliated with Universitas Teknologi Indonesia have published 316 papers, which have received a total of 1.7k indexed citations. Scholars at this organization have produced 133 papers in Information Systems, 80 papers in Artificial Intelligence and 47 papers in Education on the topics of Edcuational Technology Systems (51 papers), Data Mining and Machine Learning Applications (40 papers) and Blockchain Technology in Education and Learning (36 papers). Their work is cited by papers focused on Information Systems (268 citations), Artificial Intelligence (220 citations) and Education (153 citations). Authors at Universitas Teknologi Indonesia collaborate with scholars in Indonesia, Ecuador and United Kingdom and have published in prestigious journals including IEEE Access, Sustainability and Applied Soft Computing. Some of Universitas Teknologi Indonesia's most productive authors include I Wayan Suryasa, Tihnov Koldoris, María Rodríguez Gámez, Komang Rinartha, Gede Surya Mahendra, Retantyo Wardoyo, Aina Musdholifah, I Made Suarta, Tohari Ahmad and Silva Larson.

In The Last Decade

Fields of papers published by authors at Universitas Teknologi Indonesia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Universitas Teknologi Indonesia 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 Universitas Teknologi Indonesia at the time of their publication.

Countries citing scholars working at Universitas Teknologi Indonesia

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Universitas Teknologi Indonesia. 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 Universitas Teknologi Indonesia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Universitas Teknologi Indonesia 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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2025