Universitas Teknologi Indonesia

303 papers and 1.6k indexed citations i.

About

In recent decades, authors affiliated with Universitas Teknologi Indonesia have published 303 papers, which have received a total of 1.6k indexed citations. Scholars at this organization have produced 128 papers in Information Systems, 75 papers in Artificial Intelligence and 45 papers in Education on the topics of Edcuational Technology Systems (47 papers), Data Mining and Machine Learning Applications (39 papers) and Blockchain Technology in Education and Learning (34 papers). Their work is cited by papers focused on Information Systems (259 citations), Artificial Intelligence (207 citations) and Education (145 citations). Authors at Universitas Teknologi Indonesia collaborate with scholars in Indonesia, Ecuador and United Kingdom and have published in prestigious journals including IEEE Access, Applied Soft Computing and Sustainability. Some of Universitas Teknologi Indonesia's most productive authors include I Wayan Suryasa, Anjar Wanto, Aina Musdholifah, María Rodríguez Gámez and Tihnov Koldoris.

In The Last Decade

Fields of papers published by authors at Universitas Teknologi Indonesia

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers affiliated with Universitas Teknologi Indonesia at the time of their publication. Nodes represent fields, and links connect fields that are likely to share authors.

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 by CCL
2025