Multimedia Nusantara University

6.4k citations
1.8k papers ·

Impact in

    • Data Mining and Machine Learning Applications
    • Multimedia Learning Systems
    • Blockchain Technology in Education and Learning

Papers in

    • Blockchain Technology in Education and Learning 184
    • Multimedia Learning Systems 136
    • Information Retrieval and Data Mining 131
    • Data Mining and Machine Learning Applications 111
    • SMEs Development and Digital Marketing 252

Multimedia Nusantara University

1.3k papers receiving 6.0k citations

Peers

Multimedia Nusantara University
Comparison fields: 5 of 191
  • Marketing 621
  • Information Systems 1.4k
  • Management Information Systems 539
  • Demography 636
  • Information Systems and Management 374
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Multimedia Nusantara University relative to University of Bunda Mulia Indonesia University of Bunda Mulia's profile →
Citations per field
00.5×1.5×2.4×
University of Bunda Mulia · 1×
Citations per year

Countries citing scholars working at Multimedia Nusantara University

Since Specialization
Citations

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

Fields of papers published by authors at Multimedia Nusantara University

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Multimedia Nusantara University 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 Multimedia Nusantara University at the time of their publication.

About Multimedia Nusantara University

In recent decades, authors affiliated with Multimedia Nusantara University have published 1.8k papers, which have received a total of 6.4k indexed citations . Scholars at this organization have produced 521 papers in Information Systems, 261 papers in Demography, 180 papers in Management Information Systems, 166 papers in Marketing and 155 papers in Accounting on the topics of SMEs Development and Digital Marketing (252 papers), Blockchain Technology in Education and Learning (184 papers), Edcuational Technology Systems (167 papers), Islamic Finance and Communication (163 papers), Multimedia Learning Systems (136 papers), Information Retrieval and Data Mining (131 papers), Digital Marketing and Social Media (128 papers) and Data Mining and Machine Learning Applications (111 papers). Their work is cited by papers focused on Marketing (621 citations), Information Systems (1.4k citations), Management Information Systems (539 citations), Demography (636 citations) and Information Systems and Management (374 citations). Authors at Multimedia Nusantara University collaborate with scholars in Indonesia, Malaysia and United Kingdom and have published in prestigious journals including PLoS ONE, Heliyon, Journal Of Big Data, TELKOMNIKA (Telecommunication Computing Electronics and Control) and Sustainability. Some of Multimedia Nusantara University's most productive authors include Seng Hansun, Daniel Susilo, Florentina Kurniasari, Arnold Japutra, Friska Natalia, Hendy Tannady, David Tjahjana, Teguh Dwi Putranto, Dyah Gandasari and Ingrid S. Surono.

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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