Birgit Schrödle
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Bayesian Inference
- Markov Chains and Monte Carlo Methods
- Economics and Econometrics top 5%
- Spatial and Panel Data Analysis
Papers in
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- Spatial and Panel Data Analysis 6
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- Animal Disease Management and Epidemiology 2
- Co-authors
- Leonhard Held (5 shared papers)Håvard Rue (2 shared papers)Andrea Riebler (1 shared paper)Jürg Danuser (1 shared paper)Katriina Willgert (1 shared paper)Heinzpeter Schwermer (1 shared paper)
- Journals
- Environmetrics (1 paper)Journal of the Royal Statistical Society Series C (Applied Statistics) (1 paper)Geospatial health (1 paper)Biometrics (1 paper)Computational Statistics (1 paper)
- Partner nations
- SwitzerlandNorwayGermany
In The Last Decade
Birgit Schrödle
7 papers receiving 557 citations
Peers
Comparison fields: 5 of 81
- Statistics and Probability 79
- Economics and Econometrics 172
- Ecological Modeling 13
- Modeling and Simulation 21
- Public Health, Environmental and Occupational Health 63
Countries citing papers authored by Birgit Schrödle
This map shows the geographic impact of Birgit Schrödle'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 Birgit Schrödle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Birgit Schrödle more than expected).
Fields of papers citing papers by Birgit Schrödle
This network shows the impact of papers produced by Birgit Schrödle. 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 Birgit Schrödle. The network helps show where Birgit Schrödle may publish in the future.
Co-authors
The 6 scholars most cited alongside Birgit Schrödle, 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 | 2009 | 159 | |
| 2 | 2010 | 149 | |
| 3 | 2010 | 83 | |
| 4 | 2010 | 69 | |
| 5 | 2010 | 69 | |
| 6 | 2011 | 24 | |
| 7 | 2011 | 16 |
About Birgit Schrödle
Birgit Schrödle is a scholar working on Economics and Econometrics, Agronomy and Crop Science, Statistics and Probability, Ecology, Evolution, Behavior and Systematics and Epidemiology, having authored 7 papers that have together received 569 indexed citations. Recurring topics across this work include Spatial and Panel Data Analysis (6 papers), Animal Disease Management and Epidemiology (2 papers), Markov Chains and Monte Carlo Methods (2 papers), Statistical Methods and Bayesian Inference (2 papers), Data-Driven Disease Surveillance (1 paper), Mathematical and Theoretical Epidemiology and Ecology Models (1 paper) and Vector-Borne Animal Diseases (1 paper). The work is most often cited by research in Statistics and Probability (79 citations), Economics and Econometrics (172 citations), Ecological Modeling (13 citations), Modeling and Simulation (21 citations) and Public Health, Environmental and Occupational Health (63 citations). Birgit Schrödle has collaborated with scholars based in Switzerland, Norway and Germany. Frequent co-authors include Leonhard Held, Håvard Rue, Andrea Riebler, Jürg Danuser, Katriina Willgert and Heinzpeter Schwermer. Their work appears in journals such as Environmetrics, Journal of the Royal Statistical Society Series C (Applied Statistics), Geospatial health, Biometrics and Computational 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.