Achmad Daengs GS

30 papers and 96 indexed citations i.

About

Achmad Daengs GS is a scholar working on Information Systems, Artificial Intelligence and Demography. According to data from OpenAlex, Achmad Daengs GS has authored 30 papers receiving a total of 96 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems, 7 papers in Artificial Intelligence and 7 papers in Demography. Recurrent topics in Achmad Daengs GS’s work include Data Mining and Machine Learning Applications (5 papers), SMEs Development and Digital Marketing (5 papers) and Edcuational Technology Systems (4 papers). Achmad Daengs GS is often cited by papers focused on Data Mining and Machine Learning Applications (5 papers), SMEs Development and Digital Marketing (5 papers) and Edcuational Technology Systems (4 papers). Achmad Daengs GS collaborates with scholars based in Indonesia, Malaysia and China. Achmad Daengs GS's co-authors include Nuning Kurniasih, Robbi Rahim, Ansari Saleh Ahmar, Abdurrozzaq Hasibuan, Dian Utami Sutiksno, Gita Widi Bhawika, Abdul Razak Rahmat, M Chairul Basrun Umanailo, Anjar Wanto and Muhammad Dharma Tuah Putra Nasution and has published in prestigious journals such as Management Science Letters, Journal of Physics Conference Series and Humanities & Social Sciences Reviews.

In The Last Decade

Co-authorship network of co-authors of Achmad Daengs GS i

Fields of papers citing papers by Achmad Daengs GS

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Achmad Daengs GS. 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 Achmad Daengs GS. The network helps show where Achmad Daengs GS may publish in the future.

Countries citing papers authored by Achmad Daengs GS

Since Specialization
Citations

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