Ege Rubak
Impact in
- Applied Mathematics top 2%
- Point processes and geometric inequalities
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- Ecology and Vegetation Dynamics Studies
- Forest ecology and management
Papers in
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- Point processes and geometric inequalities 13
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- Random Matrices and Applications 2
- Statistical Distribution Estimation and Applications 2
- Statistical Methods and Bayesian Inference 1
- Co-authors
- Adrian BaddeleyRolf TurnerJesper MöllerFrédéric LavancierJean‐François CoeurjollyRasmus WaagepetersenEmilio PorcuJorge Mateu
In The Last Decade
Ege Rubak
17 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Applied Mathematics 343
- Nature and Landscape Conservation 367
- Ecological Modeling 122
- Geometry and Topology 146
- Statistics and Probability 134
Countries citing papers authored by Ege Rubak
This map shows the geographic impact of Ege Rubak'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 Ege Rubak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ege Rubak more than expected).
Fields of papers citing papers by Ege Rubak
This network shows the impact of papers produced by Ege Rubak. 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 Ege Rubak. The network helps show where Ege Rubak may publish in the future.
Co-authorship network
The 19 scholars most cited alongside Ege Rubak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2026 | 0 | |
| 2 | 2023 | 0 | |
| 3 | 2021 | 6 | |
| 4 | Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests [R package spatstat version 2.1-0] | 2021 | 0 |
| 5 | Spherical Geometry Operators Using the S2 Geometry Library [R package s2 version 1.0.3] | 2020 | 1 |
| 6 | 2019 | 29 | |
| 7 | 2018 | 3 | |
| 8 | 2017 | 18 | |
| 9 | Spatial Point Patterns: Methodology and Applications with R Hit paper breakdown → | 2015 | 719 |
| 10 | Spatial Point Patterns Hit paper breakdown → | 2015 | 1014 |
| 11 | 2015 | 5 | |
| 12 | 2015 | 8 | |
| 13 | 2014 | 98 | |
| 14 | 2014 | 30 | |
| 15 | 2013 | 15 | |
| 16 | 2012 | 1 | |
| 17 | Score, pseudo-score and residual diagnostics for goodness-of-fit of spatial point process models | 2010 | 2 |
| 18 | Statistical inference for a class of multivariate negative binomial distributions | 2010 | 4 |
| 19 | 2010 | 4 | |
| 20 | Likelihood Based Inference and Diagnostics for Spatial Data Models | 2010 | 1 |
About Ege Rubak
Ege Rubak is a scholar working on Applied Mathematics, Statistics and Probability, Geometry and Topology, Mathematical Physics and Environmental Engineering, having authored 20 papers that have together received 2.0k indexed citations. Recurring topics across this work include Point processes and geometric inequalities (13 papers), Economic and Environmental Valuation (3 papers), Morphological variations and asymmetry (3 papers), Random Matrices and Applications (2 papers), Statistical Distribution Estimation and Applications (2 papers), Stochastic processes and statistical mechanics (2 papers), Soil Geostatistics and Mapping (2 papers) and Statistical Methods and Bayesian Inference (1 paper). The work is most often cited by research in Applied Mathematics (343 citations), Nature and Landscape Conservation (367 citations), Ecological Modeling (122 citations), Geometry and Topology (146 citations) and Statistics and Probability (134 citations). Ege Rubak has collaborated with scholars based in Denmark, Australia and France. Frequent co-authors include Adrian Baddeley, Rolf Turner, Jesper Möller, Frédéric Lavancier, Jean‐François Coeurjolly, Rasmus Waagepetersen, Emilio Porcu, Jorge Mateu, Ottmar Cronie and Raphaël Lachièze-Rey. Their work appears in journals such as Statistics and Computing, Cancers, Journal of Statistical Computation and Simulation, Spatial Statistics and Scandinavian Journal of Statistics.
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.