Devvi Sarwinda

49 papers and 425 indexed citations i.

About

Devvi Sarwinda is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Devvi Sarwinda has authored 49 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 17 papers in Molecular Biology and 9 papers in Computational Theory and Mathematics. Recurrent topics in Devvi Sarwinda’s work include Machine Learning in Bioinformatics (10 papers), Gene expression and cancer classification (9 papers) and Computational Drug Discovery Methods (9 papers). Devvi Sarwinda is often cited by papers focused on Machine Learning in Bioinformatics (10 papers), Gene expression and cancer classification (9 papers) and Computational Drug Discovery Methods (9 papers). Devvi Sarwinda collaborates with scholars based in Indonesia. Devvi Sarwinda's co-authors include Alhadi Bustamam, Pinkie Anggia, Zuherman Rustam, Titin Siswantining, Ari Wibisono, Arry Yanuar, Hengki Tasman, Petrus Mursanto, Wibowo Mangunwardoyo and Wisnu Jatmiko and has published in prestigious journals such as Knowledge-Based Systems, Symmetry and Journal Of Big Data.

In The Last Decade

Co-authorship network of co-authors of Devvi Sarwinda i

Fields of papers citing papers by Devvi Sarwinda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Devvi Sarwinda

Since Specialization
Citations

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