U Andayani

54 papers and 218 indexed citations i.

About

U Andayani is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, U Andayani has authored 54 papers receiving a total of 218 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 22 papers in Computer Vision and Pattern Recognition and 12 papers in Information Systems. Recurrent topics in U Andayani’s work include Edcuational Technology Systems (14 papers), Augmented Reality Applications (11 papers) and Computer Science and Engineering (9 papers). U Andayani is often cited by papers focused on Edcuational Technology Systems (14 papers), Augmented Reality Applications (11 papers) and Computer Science and Engineering (9 papers). U Andayani collaborates with scholars based in Indonesia. U Andayani's co-authors include B Siregar, Fahmi Fahmi, Romi Fadillah Rahmat, M F Syahputra, Tigor Hamonangan Nasution, Dahlan Abdullah, Muhammad Ikhsan Setiawan, Darmawan Napitupulu, Ikhsan Siregar and Dani Gunawan and has published in prestigious journals such as Journal of Physics Conference Series, IOP Conference Series Materials Science and Engineering and MATEC Web of Conferences.

In The Last Decade

Co-authorship network of co-authors of U Andayani i

Fields of papers citing papers by U Andayani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by U Andayani. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by U Andayani. The network helps show where U Andayani may publish in the future.

Countries citing papers authored by U Andayani

Since Specialization
Citations

This map shows the geographic impact of U Andayani's research. 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 U Andayani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites U Andayani 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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2025