Untari Novia Wisesty

29 papers and 160 indexed citations i.

About

Untari Novia Wisesty is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Untari Novia Wisesty has authored 29 papers receiving a total of 160 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 9 papers in Information Systems and 7 papers in Molecular Biology. Recurrent topics in Untari Novia Wisesty’s work include Data Mining and Machine Learning Applications (9 papers), Computer Science and Engineering (9 papers) and Edcuational Technology Systems (7 papers). Untari Novia Wisesty is often cited by papers focused on Data Mining and Machine Learning Applications (9 papers), Computer Science and Engineering (9 papers) and Edcuational Technology Systems (7 papers). Untari Novia Wisesty collaborates with scholars based in Indonesia and Taiwan. Untari Novia Wisesty's co-authors include Adiwijaya Adiwijaya, Suyanto Suyanto, Tati Rajab Mengko, Ayu Purwarianti, Widi Astuti, Nam Nhut Phan, Eric Y. Chuang, Adi Pancoro, Sugondo Hadiyoso and Mohamad Syahrul Mubarok and has published in prestigious journals such as PLoS ONE, IEEE Access and Applied Mechanics and Materials.

In The Last Decade

Co-authorship network of co-authors of Untari Novia Wisesty i

Fields of papers citing papers by Untari Novia Wisesty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Untari Novia Wisesty. 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 Untari Novia Wisesty. The network helps show where Untari Novia Wisesty may publish in the future.

Countries citing papers authored by Untari Novia Wisesty

Since Specialization
Citations

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