Iping Supriana
- Information Systems top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Plant Science
- Media Technology top 10%
- Co-authors
- Masayu Leylia KhodraKridanto SurendroAyu PurwariantiMuhammad Naufal RachmatullahNur Ulfa MaulideviArry Akhmad ArmanTien Fabrianti KusumasariNor Azan Mat Zin
- Topics
- Edcuational Technology Systems (32 papers)Data Mining and Machine Learning Applications (15 papers)Multimedia Learning Systems (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaInformation Processing in AgricultureAutomated Software Engineering
- Partner nations
- IndonesiaSri LankaUnited States
In The Last Decade
Iping Supriana
82 papers receiving 345 citations
Peers
Comparison fields: 5 of 89
- Information Systems 127
- Artificial Intelligence 122
- Computer Vision and Pattern Recognition 81
- Plant Science 42
- Media Technology 36
Countries citing papers authored by Iping Supriana
This map shows the geographic impact of Iping Supriana'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 Iping Supriana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iping Supriana more than expected).
Fields of papers citing papers by Iping Supriana
This network shows the impact of papers produced by Iping Supriana. 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 Iping Supriana. The network helps show where Iping Supriana may publish in the future.
Co-authorship network of co-authors of Iping Supriana
This figure shows the co-authorship network connecting the top 25 collaborators of Iping Supriana. A scholar is included among the top collaborators of Iping Supriana 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 Iping Supriana. Iping Supriana is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 0 | |
| 12 | 4 | |
| 13 | 3 | |
| 14 | 4 | |
| 15 | 3 | |
| 16 | 8 | |
| 17 | 6 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 4 |
About Iping Supriana
Iping Supriana is a scholar working on Information Systems, Artificial Intelligence and Management Information Systems, having authored 98 papers that have together received 371 indexed citations. Recurring topics across this work include Edcuational Technology Systems (32 papers), Data Mining and Machine Learning Applications (15 papers) and Multimedia Learning Systems (14 papers). The work is most often cited by research in Information Systems (127 citations), Human-Computer Interaction (24 citations) and Media Technology (36 citations). Iping Supriana has collaborated with scholars based in Indonesia, Sri Lanka and United States. Frequent co-authors include Masayu Leylia Khodra, Kridanto Surendro, Ayu Purwarianti, Muhammad Naufal Rachmatullah, Nur Ulfa Maulidevi, Arry Akhmad Arman, Tien Fabrianti Kusumasari, Nor Azan Mat Zin, Adang Suwandi Ahmad and Darlis Herumurti. Their work appears in journals such as SHILAP Revista de lepidopterología, Information Processing in Agriculture and Automated Software Engineering.
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.