Sri Nurdiati
- Global and Planetary Change top 10%
- Statistics, Probability and Uncertainty top 2%
- Statistics and Probability top 5%
- Artificial Intelligence
- Atmospheric Science
- Co-authors
- Ardhasena SopaheluwakanW.C.M. KallenbergWillem AlbersIrmanida BatubaraWisnu Ananta KusumaAgus BuonoImas Sukaesih SitanggangEdi Santosa
- Topics
- Data Mining and Machine Learning Applications (12 papers)Climate variability and models (11 papers)Fire effects on ecosystems (11 papers)
- Cited by
- Statistics, Probability and UncertaintyStatistics and ProbabilityGlobal and Planetary Change
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Access
- Partner nations
- IndonesiaNetherlandsUnited States
In The Last Decade
Sri Nurdiati
52 papers receiving 338 citations
Peers
Comparison fields: 5 of 74
- Global and Planetary Change 124
- Statistics, Probability and Uncertainty 95
- Statistics and Probability 71
- Artificial Intelligence 48
- Atmospheric Science 47
Countries citing papers authored by Sri Nurdiati
This map shows the geographic impact of Sri Nurdiati'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 Sri Nurdiati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sri Nurdiati more than expected).
Fields of papers citing papers by Sri Nurdiati
This network shows the impact of papers produced by Sri Nurdiati. 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 Sri Nurdiati. The network helps show where Sri Nurdiati may publish in the future.
Co-authorship network of co-authors of Sri Nurdiati
This figure shows the co-authorship network connecting the top 25 collaborators of Sri Nurdiati. A scholar is included among the top collaborators of Sri Nurdiati 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 Sri Nurdiati. Sri Nurdiati 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 | 0 | |
| 3 | 1 | |
| 4 | 11 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 13 | |
| 8 | 0 | |
| 9 | 5 | |
| 10 | 0 | |
| 11 | 0 | |
| 12 | 9 | |
| 13 | 3 | |
| 14 | 5 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | Potency and Development Strategies of Swamp Buffaloes at Different Topography in Cianjur District West Java Indonesia | 1 |
| 18 | 25 years development of knowledge graph theory: the results and the challenge | 16 |
| 19 | Normal, parametric and nonparametric control charts, a data driven choice | 3 |
| 20 | Exceedance probabilities for parametric control charts | 5 |
About Sri Nurdiati
Sri Nurdiati is a scholar working on Global and Planetary Change, Statistics, Probability and Uncertainty and Information Systems, having authored 73 papers that have together received 368 indexed citations. Recurring topics across this work include Data Mining and Machine Learning Applications (12 papers), Climate variability and models (11 papers) and Fire effects on ecosystems (11 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (95 citations), Statistics and Probability (71 citations) and Global and Planetary Change (124 citations). Sri Nurdiati has collaborated with scholars based in Indonesia, Netherlands and United States. Frequent co-authors include Ardhasena Sopaheluwakan, W.C.M. Kallenberg, Willem Albers, Irmanida Batubara, Wisnu Ananta Kusuma, Agus Buono, Imas Sukaesih Sitanggang, Edi Santosa, Annisa Annisa and Ibnu Fajar. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.
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.