Djoko Saryono
- Information Systems top 10%
- Education top 10%
- Artificial Intelligence
- Sociology and Political Science
- Language and Linguistics
- Co-authors
- Irawan Dwi WahyonoNur HanifahMiftahussururi MiftahussururiMohd Murtadha MohamadYuni PratiwiMohd Nihra Haruzuan Mohamad SaidSunarti SunartiNurbiha A. Shukor
- Topics
- Education and Character Development (11 papers)Data Mining and Machine Learning Applications (10 papers)Information Retrieval and Data Mining (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Interactive Mobile Technologies (iJIM)NeuroQuantology
In The Last Decade
Djoko Saryono
35 papers receiving 161 citations
Peers
Comparison fields: 5 of 45
- Information Systems 93
- Education 84
- Artificial Intelligence 34
- Sociology and Political Science 18
- Language and Linguistics 14
Countries citing papers authored by Djoko Saryono
This map shows the geographic impact of Djoko Saryono'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 Djoko Saryono with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Djoko Saryono more than expected).
Fields of papers citing papers by Djoko Saryono
This network shows the impact of papers produced by Djoko Saryono. 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 Djoko Saryono. The network helps show where Djoko Saryono may publish in the future.
Co-authorship network of co-authors of Djoko Saryono
This figure shows the co-authorship network connecting the top 25 collaborators of Djoko Saryono. A scholar is included among the top collaborators of Djoko Saryono based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Djoko Saryono. Djoko Saryono is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 0 | |
| 13 | 10 | |
| 14 | Literasi : Episentrum Kemajuan Kebudayaan dan Peradaban | 0 |
| 15 | 2 | |
| 16 | 3 | |
| 17 | Materi pendukung literasi baca tulis | 32 |
| 18 | Penguatan pendidikan karakter di sekolah dasar | 4 |
| 19 | Panduan penilaian penguatan pendidikan karakter | 8 |
| 20 | 5 |
About Djoko Saryono
Djoko Saryono is a scholar working on Information Systems, Cultural Studies and Language and Linguistics, having authored 49 papers that have together received 177 indexed citations. Recurring topics across this work include Education and Character Development (11 papers), Data Mining and Machine Learning Applications (10 papers) and Information Retrieval and Data Mining (8 papers). The work is most often cited by research in Information Systems (93 citations), Education (84 citations) and Computer Science Applications (14 citations). Djoko Saryono has collaborated with scholars based in Indonesia, Malaysia and Taiwan. Frequent co-authors include Irawan Dwi Wahyono, Nur Hanifah, Miftahussururi Miftahussururi, Mohd Murtadha Mohamad, Yuni Pratiwi, Mohd Nihra Haruzuan Mohamad Said, Sunarti Sunarti, Nurbiha A. Shukor, Mohd Shafie Rosli and Supriyono Supriyono. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Interactive Mobile Technologies (iJIM) and NeuroQuantology.
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.