Surya Sumpeno

39 papers and 101 indexed citations i.

About

Surya Sumpeno is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Surya Sumpeno has authored 39 papers receiving a total of 101 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 15 papers in Information Systems and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Surya Sumpeno’s work include Edcuational Technology Systems (12 papers), Augmented Reality Applications (6 papers) and Data Mining and Machine Learning Applications (5 papers). Surya Sumpeno is often cited by papers focused on Edcuational Technology Systems (12 papers), Augmented Reality Applications (6 papers) and Data Mining and Machine Learning Applications (5 papers). Surya Sumpeno collaborates with scholars based in Indonesia, Japan and The Netherlands. Surya Sumpeno's co-authors include Mauridhi Hery Purnomo, Diana Purwitasari, Mochamad Hariadi, Supeno Mardi Susiki Nugroho, Kiyoaki Aikawa, Chastine Fatichah, Christian Steglich, Wiwik Anggraeni, Eko Mulyanto Yuniarno and Arifin Arifin and has published in prestigious journals such as Expert Systems with Applications, Scientometrics and International Journal of Emerging Technologies in Learning (iJET).

In The Last Decade

Co-authorship network of co-authors of Surya Sumpeno i

Fields of papers citing papers by Surya Sumpeno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Surya Sumpeno

Since Specialization
Citations

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