Andi Sunyoto

36 papers and 171 indexed citations i.

About

Andi Sunyoto is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Andi Sunyoto has authored 36 papers receiving a total of 171 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 19 papers in Information Systems and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Andi Sunyoto’s work include Edcuational Technology Systems (15 papers), Blockchain Technology in Education and Learning (9 papers) and Data Mining and Machine Learning Applications (8 papers). Andi Sunyoto is often cited by papers focused on Edcuational Technology Systems (15 papers), Blockchain Technology in Education and Learning (9 papers) and Data Mining and Machine Learning Applications (8 papers). Andi Sunyoto collaborates with scholars based in Indonesia, Brunei and Saudi Arabia. Andi Sunyoto's co-authors include Hamdani Hamdani, Anindita Septiarini, Fitri Utaminingrum, Heliza Rahmania Hatta, Suyanto Suyanto, Wahyu Caesarendra, Kusrini Kusrini, Ema Utami, Wing Wahyu Winarno and Arief Setyanto and has published in prestigious journals such as Scientia Horticulturae, Heliyon and Optik.

In The Last Decade

Co-authorship network of co-authors of Andi Sunyoto i

Fields of papers citing papers by Andi Sunyoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andi Sunyoto. 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 Andi Sunyoto. The network helps show where Andi Sunyoto may publish in the future.

Countries citing papers authored by Andi Sunyoto

Since Specialization
Citations

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