Nadja Klein
Impact in
- Statistics and Probability top 1%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
- Statistical Distribution Estimation and Applications
Papers in
-
- Statistical Methods and Inference 33
- Statistical Methods and Bayesian Inference 21
- Statistical Distribution Estimation and Applications 8
-
- Bayesian Methods and Mixture Models 17
- Co-authors
- Thomas Kneib (34 shared papers)Stefan Lang (9 shared papers)Nikolaus Umlauf (5 shared papers)Achim Zeileis (2 shared papers)Stephan Klasen (1 shared paper)Michel Denuit (1 shared paper)Andreas Mayr (8 shared papers)Christoph Scherber (1 shared paper)
- Journals
- Journal of Computational and Graphical Statistics (5 papers)Statistics and Computing (4 papers)The Annals of Applied Statistics (3 papers)Statistics in Medicine (3 papers)PLoS ONE (3 papers)
- Partner nations
- GermanyAustriaNetherlands
In The Last Decade
Nadja Klein
66 papers receiving 766 citations
Peers
Comparison fields: 5 of 127
- Statistics and Probability 307
- Management Science and Operations Research 82
- Ecological Modeling 25
- Nature and Landscape Conservation 69
- Economics and Econometrics 152
Countries citing papers authored by Nadja Klein
This map shows the geographic impact of Nadja Klein'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 Nadja Klein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadja Klein more than expected).
Fields of papers citing papers by Nadja Klein
This network shows the impact of papers produced by Nadja Klein. 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 Nadja Klein. The network helps show where Nadja Klein may publish in the future.
Co-authors
The 25 scholars most cited alongside Nadja Klein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 84 | |
| 2 | 2017 | 78 | |
| 3 | 2016 | 76 | |
| 4 | 2014 | 57 | |
| 5 | 2014 | 49 | |
| 6 | 2014 | 43 | |
| 7 | 2015 | 35 | |
| 8 | 2015 | 32 | |
| 9 | 2022 | 19 | |
| 10 | 2015 | 19 | |
| 11 | 2021 | 18 | |
| 12 | 2018 | 16 | |
| 13 | 2022 | 15 | |
| 14 | 2021 | 15 | |
| 15 | 2018 | 14 | |
| 16 | 2017 | 14 | |
| 17 | 2019 | 14 | |
| 18 | 2018 | 14 | |
| 19 | 2020 | 13 | |
| 20 | 2022 | 13 |
About Nadja Klein
Nadja Klein is a scholar working on Statistics and Probability, Artificial Intelligence, Economics and Econometrics, Sociology and Political Science and Environmental Engineering, having authored 73 papers that have together received 790 indexed citations. Recurring topics across this work include Statistical Methods and Inference (33 papers), Statistical Methods and Bayesian Inference (21 papers), Bayesian Methods and Mixture Models (17 papers), Spatial and Panel Data Analysis (9 papers), Statistical Distribution Estimation and Applications (8 papers), Economic and Environmental Valuation (7 papers), Soil Geostatistics and Mapping (6 papers) and Income, Poverty, and Inequality (6 papers). The work is most often cited by research in Statistics and Probability (307 citations), Management Science and Operations Research (82 citations), Ecological Modeling (25 citations), Nature and Landscape Conservation (69 citations) and Economics and Econometrics (152 citations). Nadja Klein has collaborated with scholars based in Germany, Austria and Netherlands. Frequent co-authors include Thomas Kneib, Stefan Lang, Nikolaus Umlauf, Achim Zeileis, Stephan Klasen, Michel Denuit, Andreas Mayr, Christoph Scherber, Adam S. Hadley and Urs G. Kormann. Their work appears in journals such as Journal of Computational and Graphical Statistics, Statistics and Computing, The Annals of Applied Statistics, Statistics in Medicine 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.