Debby Alita

13 papers and 56 indexed citations i.

About

Debby Alita is a scholar working on Information Systems, Artificial Intelligence and Demography. According to data from OpenAlex, Debby Alita has authored 13 papers receiving a total of 56 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems, 5 papers in Artificial Intelligence and 2 papers in Demography. Recurrent topics in Debby Alita’s work include Multimedia Learning Systems (8 papers), Data Mining and Machine Learning Applications (6 papers) and Edcuational Technology Systems (4 papers). Debby Alita is often cited by papers focused on Multimedia Learning Systems (8 papers), Data Mining and Machine Learning Applications (6 papers) and Edcuational Technology Systems (4 papers). Debby Alita collaborates with scholars based in Indonesia and United States. Debby Alita's co-authors include Ade Dwi Putra, Dedi Darwis, Setiawansyah Setiawansyah, Auliya Rahman Isnain, Dyah Ayu Megawaty, Putri Sukma Dewi, Andi Nurkholis, Aris Munandar, Rohmat Indra Borman and Imam Ahmad and has published in prestigious journals such as DOAJ (DOAJ: Directory of Open Access Journals), JATISI (Jurnal Teknik Informatika dan Sistem Informasi) and Kumawula Jurnal Pengabdian Kepada Masyarakat.

In The Last Decade

Co-authorship network of co-authors of Debby Alita i

Fields of papers citing papers by Debby Alita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Debby Alita

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025