Moch Arif Bijaksana

About

Moch Arif Bijaksana is a scholar working on Artificial Intelligence, Information Systems and Management Information Systems. According to data from OpenAlex, Moch Arif Bijaksana has authored 50 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Artificial Intelligence, 28 papers in Information Systems and 10 papers in Management Information Systems. Recurrent topics in Moch Arif Bijaksana’s work include Edcuational Technology Systems (31 papers), Data Mining and Machine Learning Applications (16 papers) and Natural Language Processing Techniques (14 papers). Moch Arif Bijaksana is often cited by papers focused on Edcuational Technology Systems (31 papers), Data Mining and Machine Learning Applications (16 papers) and Natural Language Processing Techniques (14 papers). Moch Arif Bijaksana collaborates with scholars based in Indonesia, Saudi Arabia and Australia. Moch Arif Bijaksana's co-authors include Yuefeng Li, Abdulmohsen Algarni, Yan Shen, Suyanto Suyanto, Adiwijaya Adiwijaya, Widi Astuti, Erwin Budi Setiawan, Mohamad Syahrul Mubarok and Warih Maharani and has published in prestigious journals such as IEEE Access, IEEE Transactions on Knowledge and Data Engineering and Journal of Physics Conference Series.

In The Last Decade

Co-authorship network of co-authors of Moch Arif Bijaksana i

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Fields of papers citing papers by Moch Arif Bijaksana

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Moch Arif Bijaksana. 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 Moch Arif Bijaksana. The network helps show where Moch Arif Bijaksana may publish in the future.

Countries citing papers authored by Moch Arif Bijaksana

Since Specialization

Citations

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