Rasmus Waagepetersen
- Applied Mathematics top 0.2%
- Economics and Econometrics top 1%
- Artificial Intelligence top 2%
- Statistics and Probability top 0.5%
- Environmental Engineering top 2%
- Co-authors
- Jesper MöllerAnne Randi SyversveenAdrian BaddeleyDaniel SørensenYongtao GuanOle Fredslund ChristensenAbdollah JalilianJanine Illian
- Topics
- Point processes and geometric inequalities (36 papers)Morphological variations and asymmetry (16 papers)Bayesian Methods and Mixture Models (15 papers)
- Partner nations
- DenmarkUnited StatesSpain
In The Last Decade
Rasmus Waagepetersen
84 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Applied Mathematics 1.3k
- Economics and Econometrics 749
- Artificial Intelligence 530
- Statistics and Probability 516
- Environmental Engineering 502
Countries citing papers authored by Rasmus Waagepetersen
This map shows the geographic impact of Rasmus Waagepetersen'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 Rasmus Waagepetersen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rasmus Waagepetersen more than expected).
Fields of papers citing papers by Rasmus Waagepetersen
This network shows the impact of papers produced by Rasmus Waagepetersen. 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 Rasmus Waagepetersen. The network helps show where Rasmus Waagepetersen may publish in the future.
Co-authorship network of co-authors of Rasmus Waagepetersen
This figure shows the co-authorship network connecting the top 25 collaborators of Rasmus Waagepetersen. A scholar is included among the top collaborators of Rasmus Waagepetersen 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 Rasmus Waagepetersen. Rasmus Waagepetersen 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 | 1 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 7 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 7 | |
| 11 | 4 | |
| 12 | 21 | |
| 13 | A statistical modeling approach to build expert credit risk rating systems | 1 |
| 14 | Verification of a Probabilistic Model for A Distribution System with Integration of Dispersed Generation | 3 |
| 15 | 16 | |
| 16 | Strategies for MCMC computation in quantitative genetics. | 1 |
| 17 | 169 | |
| 18 | 133 | |
| 19 | 118 | |
| 20 | Analysis of spatial data using generalized linear mixed models and Langevin-type Markov chain Monte Carlo | 12 |
About Rasmus Waagepetersen
Rasmus Waagepetersen is a scholar working on Applied Mathematics, Statistics and Probability and Geometry and Topology, having authored 89 papers that have together received 3.3k indexed citations. Recurring topics across this work include Point processes and geometric inequalities (36 papers), Morphological variations and asymmetry (16 papers) and Bayesian Methods and Mixture Models (15 papers). The work is most often cited by research in Applied Mathematics (1.3k citations), Statistics and Probability (516 citations) and Geometry and Topology (461 citations). Rasmus Waagepetersen has collaborated with scholars based in Denmark, United States and Spain. Frequent co-authors include Jesper Möller, Anne Randi Syversveen, Adrian Baddeley, Daniel Sørensen, Yongtao Guan, Ole Fredslund Christensen, Abdollah Jalilian, Janine Illian, Noelia Ibáñez‐Escriche and Egon Toft. Their work appears in journals such as Nature Communications, Journal of the American Statistical Association 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.