Much Aziz Muslim

76 papers and 383 indexed citations i.

About

Much Aziz Muslim is a scholar working on Information Systems, Artificial Intelligence and Education. According to data from OpenAlex, Much Aziz Muslim has authored 76 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Information Systems, 31 papers in Artificial Intelligence and 21 papers in Education. Recurrent topics in Much Aziz Muslim’s work include Edcuational Technology Systems (19 papers), Data Mining and Machine Learning Applications (16 papers) and Education and Critical Thinking Development (13 papers). Much Aziz Muslim is often cited by papers focused on Edcuational Technology Systems (19 papers), Data Mining and Machine Learning Applications (16 papers) and Education and Critical Thinking Development (13 papers). Much Aziz Muslim collaborates with scholars based in Indonesia and Malaysia. Much Aziz Muslim's co-authors include Riza Arifudin, Endang Sugiharti, Winny Liliawati, Subhan Subhan, Iswanto Iswanto, Dadi Rusdiana, Wawan Setiawan, Achmad Samsudin, Harry Firman and R Riandi and has published in prestigious journals such as Nonlinear Dynamics, Jurnal Pendidikan IPA Indonesia and Intelligent Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Much Aziz Muslim i

Fields of papers citing papers by Much Aziz Muslim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Much Aziz Muslim. 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 Much Aziz Muslim. The network helps show where Much Aziz Muslim may publish in the future.

Countries citing papers authored by Much Aziz Muslim

Since Specialization
Citations

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