Mewati Ayub
- Computer Science Applications top 2%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Software top 10%
- Education
- Co-authors
- Oscar KarnalimHapnes TobaNorma P. Simon
- Topics
- Edcuational Technology Systems (17 papers)Online Learning and Analytics (11 papers)Teaching and Learning Programming (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaEgyptian Informatics JournalInternational Journal of Online and Biomedical Engineering (iJOE)
In The Last Decade
Mewati Ayub
38 papers receiving 262 citations
Peers
Comparison fields: 5 of 59
- Computer Science Applications 144
- Information Systems 121
- Artificial Intelligence 104
- Software 29
- Education 28
Countries citing papers authored by Mewati Ayub
This map shows the geographic impact of Mewati Ayub'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 Mewati Ayub with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mewati Ayub more than expected).
Fields of papers citing papers by Mewati Ayub
This network shows the impact of papers produced by Mewati Ayub. 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 Mewati Ayub. The network helps show where Mewati Ayub may publish in the future.
Co-authorship network of co-authors of Mewati Ayub
This figure shows the co-authorship network connecting the top 25 collaborators of Mewati Ayub. A scholar is included among the top collaborators of Mewati Ayub 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 Mewati Ayub. Mewati Ayub is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | Analisis Data Hasil Web Scraping untuk Menentukan Kualitas Jurnal Ilmiah | 3 |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | Eksplorasi Data Warehouse Penjualan dengan Tableau | 5 |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 11 | |
| 14 | Modelling Students' Activities in Programming Subjects through Educational Data Mining | 4 |
| 15 | Predicting Outcomes in Introductory Programming using J48 Classification | 8 |
| 16 | Extending The Effectiveness of Algorithm Visualization with Performance Comparison through Evaluation-integrated Development | 9 |
| 17 | 56 | |
| 18 | Model Analisis Classification dengan J48 untuk Data Mahasiswa dan Dosen di Perguruan Tinggi | 0 |
| 19 | Predicting Students' Final Passing Results Using the Apriori Algorithm | 6 |
| 20 | Sistem Pakar Berbasis Web Sebagai Alat Bantu Pembelajaran Mahasiswa Kedokteran untuk Penyakit Kanker Darah pada Anak | 3 |
About Mewati Ayub
Mewati Ayub is a scholar working on Computer Science Applications, Software and Information Systems, having authored 47 papers that have together received 281 indexed citations. Recurring topics across this work include Edcuational Technology Systems (17 papers), Online Learning and Analytics (11 papers) and Teaching and Learning Programming (11 papers). The work is most often cited by research in Computer Science Applications (144 citations), Software (29 citations) and Information Systems (121 citations). Mewati Ayub has collaborated with scholars based in Indonesia and Australia. Frequent co-authors include Oscar Karnalim, Hapnes Toba and Norma P. Simon. Their work appears in journals such as SHILAP Revista de lepidopterología, Egyptian Informatics Journal and International Journal of Online and Biomedical Engineering (iJOE).
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.