Purwono Purwono
- Information Systems top 10%
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Biomedical Engineering
- Molecular Biology
- Co-authors
- Alfian Ma’arifWahyu RahmaniarQazi Mazhar ul HaqHaris Imam Karim FathurrahmanImam RiadiKhoirun NisaRusydi UmarWindu Gata
- Topics
- Edcuational Technology Systems (12 papers)Data Mining and Machine Learning Applications (9 papers)Blockchain Technology in Education and Learning (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsEnvironmental Monitoring and Assessment
In The Last Decade
Purwono Purwono
45 papers receiving 244 citations
Peers
Comparison fields: 5 of 108
- Information Systems 86
- Artificial Intelligence 69
- Computer Vision and Pattern Recognition 26
- Biomedical Engineering 23
- Molecular Biology 18
Countries citing papers authored by Purwono Purwono
This map shows the geographic impact of Purwono Purwono'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 Purwono Purwono with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Purwono Purwono more than expected).
Fields of papers citing papers by Purwono Purwono
This network shows the impact of papers produced by Purwono Purwono. 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 Purwono Purwono. The network helps show where Purwono Purwono may publish in the future.
Co-authorship network of co-authors of Purwono Purwono
This figure shows the co-authorship network connecting the top 25 collaborators of Purwono Purwono. A scholar is included among the top collaborators of Purwono Purwono 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 Purwono Purwono. Purwono Purwono 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 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 77 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 0 | |
| 13 | 0 | |
| 14 | 11 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 5 | |
| 18 | 4 | |
| 19 | 12 | |
| 20 | Pelestarian Jangka Panjang Dan Aksesibilitas Isi Informasi Dengan Teknologi | 1 |
About Purwono Purwono
Purwono Purwono is a scholar working on Information Systems, Health Information Management and Health Informatics, having authored 59 papers that have together received 264 indexed citations. Recurring topics across this work include Edcuational Technology Systems (12 papers), Data Mining and Machine Learning Applications (9 papers) and Blockchain Technology in Education and Learning (9 papers). The work is most often cited by research in Information Systems (86 citations), Health Information Management (17 citations) and Artificial Intelligence (69 citations). Purwono Purwono has collaborated with scholars based in Indonesia, Taiwan and Nigeria. Frequent co-authors include Alfian Ma’arif, Wahyu Rahmaniar, Qazi Mazhar ul Haq, Haris Imam Karim Fathurrahman, Imam Riadi, Khoirun Nisa, Rusydi Umar, Windu Gata, Sobir Sobir and Edi Santosa. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Environmental Monitoring and Assessment.
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.