Setia Pramana

39 papers and 249 indexed citations i.

About

Setia Pramana is a scholar working on Molecular Biology, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Setia Pramana has authored 39 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Sociology and Political Science and 5 papers in Artificial Intelligence. Recurrent topics in Setia Pramana’s work include Data Mining and Machine Learning Applications (5 papers), Prostate Cancer Treatment and Research (4 papers) and Gene expression and cancer classification (4 papers). Setia Pramana is often cited by papers focused on Data Mining and Machine Learning Applications (5 papers), Prostate Cancer Treatment and Research (4 papers) and Gene expression and cancer classification (4 papers). Setia Pramana collaborates with scholars based in Indonesia, Sweden and South Korea. Setia Pramana's co-authors include Yudi Pawitan, Donghwan Lee, Chen Suo, Stefano Calza, Dhany Saputra, Olga Hrydziuszko, Himanshu Joshi, Karl Andersson, Monica Nistér and Sten Nilsson and has published in prestigious journals such as Journal of Clinical Oncology, Bioinformatics and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Setia Pramana i

Fields of papers citing papers by Setia Pramana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Setia Pramana

Since Specialization
Citations

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