Moechammad Sarosa

35 papers and 94 indexed citations i.

About

Moechammad Sarosa is a scholar working on Information Systems, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Moechammad Sarosa has authored 35 papers receiving a total of 94 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Information Systems, 15 papers in Artificial Intelligence and 4 papers in Mechanical Engineering. Recurrent topics in Moechammad Sarosa’s work include Edcuational Technology Systems (8 papers), Information Retrieval and Data Mining (7 papers) and Data Mining and Machine Learning Applications (6 papers). Moechammad Sarosa is often cited by papers focused on Edcuational Technology Systems (8 papers), Information Retrieval and Data Mining (7 papers) and Data Mining and Machine Learning Applications (6 papers). Moechammad Sarosa collaborates with scholars based in Indonesia and Germany. Moechammad Sarosa's co-authors include Herman Tolle, Erfan Rohadi, A.S. Noer, Bambang Riyanto, Rosa Andrie Asmara, Muhammad N.S. Hadi, Hendro Wicaksono, Dimas Firmanda Al Riza, Muhammad Aziz Muslim and Adi Setiawan and has published in prestigious journals such as IEEE Access, International Journal of Emerging Technologies in Learning (iJET) and Applied Mechanics and Materials.

In The Last Decade

Co-authorship network of co-authors of Moechammad Sarosa i

Fields of papers citing papers by Moechammad Sarosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Moechammad Sarosa

Since Specialization
Citations

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