Ferra Yanuar
- Statistics and Probability top 5%
- Information Systems top 10%
- Economics and Econometrics
- Management Science and Operations Research
- Artificial Intelligence
- Co-authors
- Dodi DeviantoAbdul Aziz JemainKamarulzaman IbrahimKartini Aboo Talib KhalidR. L. SaniWidya WijayantiMuhammad IqbalRemon Lapisa
- Topics
- Data Mining and Machine Learning Applications (20 papers)Management and Optimization Techniques (15 papers)Economic Growth and Fiscal Policies (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaEnvironmental Health and Preventive MedicineJournal of Applied Statistics
In The Last Decade
Ferra Yanuar
50 papers receiving 239 citations
Peers
Comparison fields: 5 of 83
- Statistics and Probability 57
- Information Systems 51
- Economics and Econometrics 34
- Management Science and Operations Research 26
- Artificial Intelligence 24
Countries citing papers authored by Ferra Yanuar
This map shows the geographic impact of Ferra Yanuar'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 Ferra Yanuar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ferra Yanuar more than expected).
Fields of papers citing papers by Ferra Yanuar
This network shows the impact of papers produced by Ferra Yanuar. 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 Ferra Yanuar. The network helps show where Ferra Yanuar may publish in the future.
Co-authorship network of co-authors of Ferra Yanuar
This figure shows the co-authorship network connecting the top 25 collaborators of Ferra Yanuar. A scholar is included among the top collaborators of Ferra Yanuar 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 Ferra Yanuar. Ferra Yanuar 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 | 1 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 0 | |
| 13 | 0 | |
| 14 | 9 | |
| 15 | 4 | |
| 16 | 3 | |
| 17 | 1 | |
| 18 | 0 | |
| 19 | 1 | |
| 20 | 20 |
About Ferra Yanuar
Ferra Yanuar is a scholar working on Statistics and Probability, Strategy and Management and Information Systems, having authored 79 papers that have together received 255 indexed citations. Recurring topics across this work include Data Mining and Machine Learning Applications (20 papers), Management and Optimization Techniques (15 papers) and Economic Growth and Fiscal Policies (9 papers). The work is most often cited by research in Statistics and Probability (57 citations), Modeling and Simulation (11 citations) and Information Systems (51 citations). Ferra Yanuar has collaborated with scholars based in Indonesia, Czechia and Malaysia. Frequent co-authors include Dodi Devianto, Abdul Aziz Jemain, Kamarulzaman Ibrahim, Kartini Aboo Talib Khalid, R. L. Sani, Widya Wijayanti, Muhammad Iqbal and Remon Lapisa. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Health and Preventive Medicine and Journal of Applied Statistics.
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.