Nanik Suciati

97 papers and 550 indexed citations i.

About

Nanik Suciati is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Nanik Suciati has authored 97 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computer Vision and Pattern Recognition, 39 papers in Artificial Intelligence and 25 papers in Information Systems. Recurrent topics in Nanik Suciati’s work include Computer Science and Engineering (25 papers), Edcuational Technology Systems (18 papers) and Data Mining and Machine Learning Applications (16 papers). Nanik Suciati is often cited by papers focused on Computer Science and Engineering (25 papers), Edcuational Technology Systems (18 papers) and Data Mining and Machine Learning Applications (16 papers). Nanik Suciati collaborates with scholars based in Indonesia, Japan and Australia. Nanik Suciati's co-authors include Chastine Fatichah, Handayani Tjandrasa, Eko Prasetyo, Ari Wijayanti, Agus Zainal Arifin, Rarasmaya Indraswari, Eha Renwi Astuti, Agus Eko Minarno, Daniel Siahaan and Anny Yuniarti and has published in prestigious journals such as IEEE Access, Applied Soft Computing and Computers and Electronics in Agriculture.

In The Last Decade

Co-authorship network of co-authors of Nanik Suciati i

Fields of papers citing papers by Nanik Suciati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nanik Suciati

Since Specialization
Citations

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