Universitas Komputer Indonesia

948 papers and 2.0k indexed citations i.

About

In recent decades, authors affiliated with Universitas Komputer Indonesia have published 948 papers, which have received a total of 2.0k indexed citations. Scholars at this organization have produced 368 papers in Information Systems, 188 papers in Demography and 159 papers in Sociology and Political Science on the topics of SMEs Development and Digital Marketing (182 papers), Information Retrieval and Data Mining (126 papers) and Blockchain Technology in Education and Learning (121 papers). Their work is cited by papers focused on Information Systems (537 citations), Artificial Intelligence (276 citations) and Sociology and Political Science (254 citations). Authors at Universitas Komputer Indonesia collaborate with scholars in Indonesia, Malaysia and Japan and have published in prestigious journals including Carbon, IEEE Access and Journal of Analytical and Applied Pyrolysis. Some of Universitas Komputer Indonesia's most productive authors include E S Soegoto, Irawan Afrianto, Fitri Khoerunnisa, Eko Budi Setiawan, Katsumi Kaneko, Li Song, Morinobu Endo, Pulickel M. Ajayan, Takuya Hayashi and Wei Gao.

In The Last Decade

Fields of papers published by authors at Universitas Komputer Indonesia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing scholars working at Universitas Komputer Indonesia

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Universitas Komputer 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 Komputer 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 Komputer 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.

Explore institutions with similar magnitude of impact

Rankless by CCL
2025