Budi Dwi Satoto

16 papers and 561 indexed citations i.

About

Budi Dwi Satoto is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Information Systems. According to data from OpenAlex, Budi Dwi Satoto has authored 16 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Information Systems. Recurrent topics in Budi Dwi Satoto’s work include COVID-19 diagnosis using AI (5 papers), Data Mining and Machine Learning Applications (4 papers) and Image Processing Techniques and Applications (3 papers). Budi Dwi Satoto is often cited by papers focused on COVID-19 diagnosis using AI (5 papers), Data Mining and Machine Learning Applications (4 papers) and Image Processing Techniques and Applications (3 papers). Budi Dwi Satoto collaborates with scholars based in Indonesia and Japan. Budi Dwi Satoto's co-authors include Muhammad Ali Syakur, Eka Mala Sari Rochman, Bain Khusnul Khotimah, Riries Rulaningtyas, Muhammad Yusuf, Muhammad Yusuf and Husni Husni and has published in prestigious journals such as Data in Brief, Cogent Engineering and Journal of Physics Conference Series.

In The Last Decade

Co-authorship network of co-authors of Budi Dwi Satoto i

Fields of papers citing papers by Budi Dwi Satoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Budi Dwi Satoto. 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 Budi Dwi Satoto. The network helps show where Budi Dwi Satoto may publish in the future.

Countries citing papers authored by Budi Dwi Satoto

Since Specialization
Citations

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