Universitas Komputer Indonesia

About

In recent decades, authors affiliated with Universitas Komputer Indonesia have published 2.3k papers, which have received a total of 6.1k indexed citations. Scholars at this organization have produced 873 papers in Information Systems, 409 papers in Demography and 387 papers in Artificial Intelligence on the topics of SMEs Development and Digital Marketing (400 papers), Edcuational Technology Systems (313 papers) and Blockchain Technology in Education and Learning (299 papers). Their work is cited by papers focused on Information Systems (2.1k citations), Artificial Intelligence (1.0k citations) and Demography (862 citations). Authors at Universitas Komputer Indonesia collaborate with scholars in Indonesia, Malaysia and Japan and have published in prestigious journals including SHILAP Revista de lepidopterología, Advanced Energy Materials and Carbon. Some of Universitas Komputer Indonesia's most productive authors include E S Soegoto, Eko Budi Setiawan, Irawan Afrianto, Supriyati Supriyati, Agus Mulyana, Fitri Khoerunnisa, Hari Antoni Musril, Katsumi Kaneko, Lesi Hertati and Deri Firmansyah.

In The Last Decade

Universitas Komputer Indonesia

1.6k papers receiving 5.8k citations

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).

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.

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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