Sonja Greven
- Statistics and Probability top 0.5%
- Statistical Methods and Inference 24
- Statistical Methods and Bayesian Inference 17
- Advanced Statistical Methods and Models 4
- Computational Mathematics top 5%
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- Air Quality and Health Impacts 10
- Climate Change and Health Impacts 7
- Artificial Intelligence top 5%
- Bayesian Methods and Mixture Models 6
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- Advanced Neuroimaging Techniques and Applications 7
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- Adipokines, Inflammation, and Metabolic Diseases 4
Sonja Greven
61 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 180
- Statistics and Probability 836
- Computational Mathematics 25
- Health, Toxicology and Mutagenesis 401
- Statistics, Probability and Uncertainty 85
- Artificial Intelligence 337
Countries citing papers authored by Sonja Greven
This map shows the geographic impact of Sonja Greven'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 Sonja Greven with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonja Greven more than expected).
Fields of papers citing papers by Sonja Greven
This network shows the impact of papers produced by Sonja Greven. 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 Sonja Greven. The network helps show where Sonja Greven may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sonja Greven, 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 | 2025 | 0 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 7 | |
| 5 | 2022 | 6 | |
| 6 | 2021 | 12 | |
| 7 | 2020 | 4 | |
| 8 | 2017 | 20 | |
| 9 | 2014 | 16 | |
| 10 | 2014 | 147 | |
| 11 | 2013 | 36 | |
| 12 | 2011 | 42 | |
| 13 | 2011 | 15 | |
| 14 | 2010 | 132 | |
| 15 | 2009 | 30 | |
| 16 | 2008 | 272 | |
| 17 | 2008 | 45 | |
| 18 | 2007 | 35 | |
| 19 | 2007 | 241 | |
| 20 | 2004 | 14 |
About Sonja Greven
Sonja Greven is a scholar working on Statistics and Probability, Health, Toxicology and Mutagenesis, Transportation, Computer Science Applications and Geometry and Topology, having authored 64 papers that have together received 2.6k indexed citations. Recurring topics across this work include Statistical Methods and Inference (24 papers), Statistical Methods and Bayesian Inference (17 papers), Air Quality and Health Impacts (10 papers), Climate Change and Health Impacts (7 papers), Advanced Neuroimaging Techniques and Applications (7 papers), Bayesian Methods and Mixture Models (6 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Advanced Statistical Methods and Models (4 papers). The work is most often cited by research in Statistics and Probability (836 citations), Computational Mathematics (25 citations), Health, Toxicology and Mutagenesis (401 citations), Statistics, Probability and Uncertainty (85 citations) and Artificial Intelligence (337 citations). Sonja Greven has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Fabian Scheipl, Helmut Küchenhoff, Ciprian M. Crainiceanu, Thomas Kneib, Ana‐Maria Staicu, Annette Peters, Daniel S. Reich, Brian Caffo, Jeff Goldsmith and Wolfgang Köenig. Their work appears in journals such as Statistical Modelling, Electronic Journal of Statistics, Biometrics, Journal of Computational and Graphical Statistics and Journal of the American Statistical Association.
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.