Natalie Neumeyer
- Statistics and Probability top 0.5%
- Artificial Intelligence top 10%
- Finance top 5%
- Management Science and Operations Research top 5%
- Plant Science
- Co-authors
- Andrej‐Nikolai SpiessHolger DetteIngrid Van KeilegomStefan SperlichMarek OmelkaStefan HoderleinPeter A. HallStanislav Volgushev
- Topics
- Statistical Methods and Inference (38 papers)Advanced Statistical Methods and Models (31 papers)Statistical Methods and Bayesian Inference (16 papers)
In The Last Decade
Natalie Neumeyer
41 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Statistics and Probability 551
- Artificial Intelligence 127
- Finance 114
- Management Science and Operations Research 106
- Plant Science 92
Countries citing papers authored by Natalie Neumeyer
This map shows the geographic impact of Natalie Neumeyer'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 Natalie Neumeyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalie Neumeyer more than expected).
Fields of papers citing papers by Natalie Neumeyer
This network shows the impact of papers produced by Natalie Neumeyer. 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 Natalie Neumeyer. The network helps show where Natalie Neumeyer may publish in the future.
Co-authorship network of co-authors of Natalie Neumeyer
This figure shows the co-authorship network connecting the top 25 collaborators of Natalie Neumeyer. A scholar is included among the top collaborators of Natalie Neumeyer 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 Natalie Neumeyer. Natalie Neumeyer 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 | 2 | |
| 3 | 3 | |
| 4 | 17 | |
| 5 | 21 | |
| 6 | 10 | |
| 7 | 19 | |
| 8 | 56 | |
| 9 | An evaluation of R2 as an inadequate measure for nonlinear models in pharmacological and biochemical research: a Monte Carlo approachbreakdown → | 691 |
| 10 | 13 | |
| 11 | 21 | |
| 12 | 32 | |
| 13 | 6 | |
| 14 | 10 | |
| 15 | 87 | |
| 16 | 21 | |
| 17 | 19 | |
| 18 | A simple nonparametric estimator of a monotone regression function | 3 |
| 19 | 11 | |
| 20 | A note on one-sided nonparametric analysis of covariance by ranking residuals | 5 |
About Natalie Neumeyer
Natalie Neumeyer is a scholar working on Statistics and Probability, Finance and Management Science and Operations Research, having authored 43 papers that have together received 1.4k indexed citations. Recurring topics across this work include Statistical Methods and Inference (38 papers), Advanced Statistical Methods and Models (31 papers) and Statistical Methods and Bayesian Inference (16 papers). The work is most often cited by research in Statistics and Probability (551 citations), Finance (114 citations) and Statistics, Probability and Uncertainty (73 citations). Natalie Neumeyer has collaborated with scholars based in Germany, Belgium and Czechia. Frequent co-authors include Andrej‐Nikolai Spiess, Holger Dette, Ingrid Van Keilegom, Stefan Sperlich, Marek Omelka, Stefan Hoderlein, Peter A. Hall, Stanislav Volgushev, Hohsuk Noh and Juan Carlos Pardo–Fernández. Their work appears in journals such as Journal of the American Statistical Association, Biometrika and Journal of Econometrics.
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.