Universitas Dian Nuswantoro

1.4k papers and 4.9k indexed citations i.

About

In recent decades, authors affiliated with Universitas Dian Nuswantoro have published 1.4k papers, which have received a total of 4.9k indexed citations. Scholars at this organization have produced 465 papers in Information Systems, 416 papers in Artificial Intelligence and 193 papers in Computer Vision and Pattern Recognition on the topics of Edcuational Technology Systems (203 papers), Data Mining and Machine Learning Applications (182 papers) and Computer Science and Engineering (149 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (1.2k citations), Artificial Intelligence (1.1k citations) and Information Systems (870 citations). Authors at Universitas Dian Nuswantoro collaborate with scholars in Indonesia, Malaysia and United States and have published in prestigious journals including Bioresource Technology, Journal of Cleaner Production and Expert Systems with Applications. Some of Universitas Dian Nuswantoro's most productive authors include De Rosal Ignatius Moses Setiadi, Eko Hari Rachmawanto, Christy Atika Sari, Supriadi Rustad, Pulung Nurtantio Andono, Guruh Fajar Shidik, Hermawan Kresno Dipojono, Muhamad Akrom, Imang Dapit Pamungkas and Romi Satria Wahono.

In The Last Decade

Fields of papers published by authors at Universitas Dian Nuswantoro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Universitas Dian Nuswantoro 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 Dian Nuswantoro at the time of their publication.

Countries citing scholars working at Universitas Dian Nuswantoro

Since Specialization
Citations

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

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