Elja Arjas
- Genetics top 2%
- Statistics and Probability top 0.5%
- Plant Science top 10%
- Management Science and Operations Research top 2%
- Ecology top 10%
- Co-authors
- Mikko J. SillanpääJukka CoranderJukka SirénJuha HeikkinenIlkka NorrosOlli SaarelaDario GasbarraKari Auranen
- Topics
- Statistical Methods and Bayesian Inference (27 papers)Statistical Methods and Inference (21 papers)Bayesian Methods and Mixture Models (20 papers)
- Partner nations
- FinlandUnited StatesCanada
In The Last Decade
Elja Arjas
113 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 172
- Genetics 766
- Statistics and Probability 718
- Plant Science 343
- Management Science and Operations Research 305
- Ecology 272
Countries citing papers authored by Elja Arjas
This map shows the geographic impact of Elja Arjas'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 Elja Arjas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elja Arjas more than expected).
Fields of papers citing papers by Elja Arjas
This network shows the impact of papers produced by Elja Arjas. 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 Elja Arjas. The network helps show where Elja Arjas may publish in the future.
Co-authorship network of co-authors of Elja Arjas
This figure shows the co-authorship network connecting the top 25 collaborators of Elja Arjas. A scholar is included among the top collaborators of Elja Arjas 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 Elja Arjas. Elja Arjas 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 | 98 | |
| 3 | Bayesian inference from rank data | 1 |
| 4 | 25 | |
| 5 | 2 | |
| 6 | 19 | |
| 7 | 2 | |
| 8 | 36 | |
| 9 | 32 | |
| 10 | Optimal dynamic treatment regimes - Discussion on the paper by Murphy | 2 |
| 11 | 5 | |
| 12 | 5 | |
| 13 | 4 | |
| 14 | 13 | |
| 15 | 24 | |
| 16 | 92 | |
| 17 | 4 | |
| 18 | A logistic regression model for hazard: asymptotic results | 22 |
| 19 | A Marked Point Process Approach to Censored Failure Data with Complicated Covariates | 26 |
| 20 | 7 |
About Elja Arjas
Elja Arjas is a scholar working on Statistics and Probability, Mathematical Physics and Statistics, Probability and Uncertainty, having authored 117 papers that have together received 2.6k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (27 papers), Statistical Methods and Inference (21 papers) and Bayesian Methods and Mixture Models (20 papers). The work is most often cited by research in Statistics and Probability (718 citations), Genetics (766 citations) and Management Science and Operations Research (305 citations). Elja Arjas has collaborated with scholars based in Finland, United States and Canada. Frequent co-authors include Mikko J. Sillanpää, Jukka Corander, Jukka Sirén, Juha Heikkinen, Ilkka Norros, Olli Saarela, Dario Gasbarra, Kari Auranen, Aino K. Takala and Terence P. Speed. Their work appears in journals such as Journal of the American Statistical Association, Bioinformatics and PLoS ONE.
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.