Universitas Budi Luhur

6.6k citations
2.6k papers ·

Impact in

    • Multimedia Learning Systems
    • Blockchain Technology in Education and Learning
    • Information Retrieval and Data Mining
    • Data Mining and Machine Learning Applications
  • Accounting top 10%

Papers in

    • Multimedia Learning Systems 463
    • Blockchain Technology in Education and Learning 420
    • Information Retrieval and Data Mining 261
    • Data Mining and Machine Learning Applications 234
    • Decision Support System Applications 369

Universitas Budi Luhur

1.8k papers receiving 6.3k citations

Peers

Universitas Budi Luhur
Comparison fields: 5 of 157
  • Information Systems 2.2k
  • Accounting 834
  • Demography 815
  • Management Information Systems 597
  • Strategy and Management 972
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Universitas Budi Luhur relative to Universitas Muhammadiyah Tangerang Indonesia Universitas Muhammadiyah Tangerang's profile →
Citations per field
00.5×1.5×
Universitas Muhammadiyah Tangerang · 1×
Citations per year

Countries citing scholars working at Universitas Budi Luhur

Since Specialization
Citations

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

Fields of papers published by authors at Universitas Budi Luhur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Universitas Budi Luhur 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 Budi Luhur at the time of their publication.

About Universitas Budi Luhur

In recent decades, authors affiliated with Universitas Budi Luhur have published 2.6k papers, which have received a total of 6.6k indexed citations . Scholars at this organization have produced 1.1k papers in Information Systems, 412 papers in Management Information Systems, 361 papers in Demography, 70 papers in Human Factors and Ergonomics and 322 papers in Accounting on the topics of Edcuational Technology Systems (509 papers), Multimedia Learning Systems (463 papers), Blockchain Technology in Education and Learning (420 papers), Decision Support System Applications (369 papers), SMEs Development and Digital Marketing (354 papers), Information Retrieval and Data Mining (261 papers), Islamic Finance and Communication (247 papers) and Data Mining and Machine Learning Applications (234 papers). Their work is cited by papers focused on Information Systems (2.2k citations), Accounting (834 citations), Demography (815 citations), Management Information Systems (597 citations) and Strategy and Management (972 citations). Authors at Universitas Budi Luhur collaborate with scholars in Indonesia, Germany and Malaysia and have published in prestigious journals including Sustainability, IEEE Access, PeerJ Computer Science, Advanced Science Letters and Forest and Society. Some of Universitas Budi Luhur's most productive authors include Umaimah Wahid, Darmawan Napitupulu, Setyani Dwi Lestari, Mohammad Syafrullah, Anton Satria Prabuwono, Teddy Mantoro, Suryani Suryani, Aditya Halim Perdana Kusuma Putra, Farah Margaretha Leon and Robbi Rahim.

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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