Roland Orre
About
In The Last Decade
Roland Orre
15 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Toxicology 1.7k
- Computational Theory and Mathematics 609
- Pharmacology 555
- Statistics and Probability 373
- Pediatrics, Perinatology and Child Health 300
Countries citing papers authored by Roland Orre
This map shows the geographic impact of Roland Orre'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 Roland Orre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roland Orre more than expected).
Fields of papers citing papers by Roland Orre
This network shows the impact of papers produced by Roland Orre. 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 Roland Orre. The network helps show where Roland Orre may publish in the future.
Co-authorship network of co-authors of Roland Orre
This figure shows the co-authorship network connecting the top 25 collaborators of Roland Orre. A scholar is included among the top collaborators of Roland Orre 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 Roland Orre. Roland Orre is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 108 | |
| 2 | 141 | |
| 3 | 24 | |
| 4 | 4 | |
| 5 | 27 | |
| 6 | A Bayesian recurrent neural network approach for finding dependencies in large incomplete data sets | 2 |
| 7 | On Data Mining and Classification Using a Bayesian Confidence Propagation Neural Network | 2 |
| 8 | 5 | |
| 9 | 63 | |
| 10 | 116 | |
| 11 | A comparison of measures of disproportionality for signal detection in spontaneous reporting systems for adverse drug reactions breakdown → | 972 |
| 12 | 87 | |
| 13 | A Bayesian neural network method for adverse drug reaction signal generation breakdown → | 972 |
| 14 | Data mining and process modelling using a Bayesian confidence propagation neural network | 1 |
| 15 | Pulp quality modelling using Bayesian mixture density neural networks | 4 |
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.