Nur Iriawan
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Neurology
- Radiology, Nuclear Medicine and Imaging
- Information Systems top 10%
- Co-authors
- Kartika FithriasariIrhamah IrhamahHeri KuswantoAnindya Apriliyanti PravitasariSanti Wulan PurnamiDedy Dwi PrastyoChristiono UtomoSuhartono Suhartono
- Topics
- Bayesian Methods and Mixture Models (21 papers)Data Mining and Machine Learning Applications (20 papers)Statistical Methods and Bayesian Inference (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaSustainabilityApplied Sciences
- Partner nations
- IndonesiaTaiwanNetherlands
In The Last Decade
Nur Iriawan
80 papers receiving 363 citations
Peers
Comparison fields: 5 of 100
- Artificial Intelligence 134
- Computer Vision and Pattern Recognition 80
- Neurology 61
- Radiology, Nuclear Medicine and Imaging 54
- Information Systems 50
Countries citing papers authored by Nur Iriawan
This map shows the geographic impact of Nur Iriawan'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 Nur Iriawan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nur Iriawan more than expected).
Fields of papers citing papers by Nur Iriawan
This network shows the impact of papers produced by Nur Iriawan. 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 Nur Iriawan. The network helps show where Nur Iriawan may publish in the future.
Co-authorship network of co-authors of Nur Iriawan
This figure shows the co-authorship network connecting the top 25 collaborators of Nur Iriawan. A scholar is included among the top collaborators of Nur Iriawan 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 Nur Iriawan. Nur Iriawan 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 | 2 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | 0 | |
| 13 | 4 | |
| 14 | Occam's Window Selection in Bayesian Model Averaging Modeling for Gene Expression Data from Chickpea Plant | 4 |
| 15 | SMALL AREA ESTIMATION PENGELUARAN PER KAPITA DI KABUPATEN BANGKALAN DENGAN METODE HIERARCHICAL BAYES | 0 |
| 16 | PENDUGAAN ANGKA MELEK HURUF DI KABUPATEN BANGKALAN MENGGUNAKAN SMALL AREA ESTIMATION DENGAN PENDEKATAN HIERARCHICAL BAYES | 1 |
| 17 | Bayesian State Space Modeling for Spatio-Temporal Rainfall Disaggregation | 4 |
| 18 | On The Multivariate Time Series Rainfall Modeling Using Time Delay Neural Network | 1 |
| 19 | New Look for DHF Relative Risk Analysis Using Bayesian Poisson-Lognormal 2-Level Spatio-Temporal | 3 |
| 20 | 2 |
About Nur Iriawan
Nur Iriawan is a scholar working on Statistics and Probability, Artificial Intelligence and Information Systems, having authored 106 papers that have together received 393 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (21 papers), Data Mining and Machine Learning Applications (20 papers) and Statistical Methods and Bayesian Inference (13 papers). The work is most often cited by research in Neurology (61 citations), Statistics and Probability (43 citations) and Artificial Intelligence (134 citations). Nur Iriawan has collaborated with scholars based in Indonesia, Taiwan and Netherlands. Frequent co-authors include Kartika Fithriasari, Irhamah Irhamah, Heri Kuswanto, Anindya Apriliyanti Pravitasari, Santi Wulan Purnami, Dedy Dwi Prastyo, Christiono Utomo, Suhartono Suhartono, Guan Huang and Gopalan Nair. Their work appears in journals such as SHILAP Revista de lepidopterología, Sustainability and Applied Sciences.
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.