Natalie Neumeyer

2.0k total citations · 1 hit paper
43 papers, 1.4k citations indexed

About

Natalie Neumeyer is a scholar working on Statistics and Probability, Management Science and Operations Research and Finance. According to data from OpenAlex, Natalie Neumeyer has authored 43 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Statistics and Probability, 9 papers in Management Science and Operations Research and 8 papers in Finance. Recurrent topics in Natalie Neumeyer's work include Statistical Methods and Inference (38 papers), Advanced Statistical Methods and Models (31 papers) and Statistical Methods and Bayesian Inference (16 papers). Natalie Neumeyer is often cited by papers focused on Statistical Methods and Inference (38 papers), Advanced Statistical Methods and Models (31 papers) and Statistical Methods and Bayesian Inference (16 papers). Natalie Neumeyer collaborates with scholars based in Germany, Belgium and Czechia. Natalie Neumeyer's co-authors include Andrej‐Nikolai Spiess, Holger Dette, Ingrid Van Keilegom, Stefan Sperlich, Marek Omelka, Stefan Hoderlein, Peter A. Hall, Hohsuk Noh, Stanislav Volgushev and Juan Carlos Pardo–Fernández and has published in prestigious journals such as Journal of the American Statistical Association, Biometrika and Journal of Econometrics.

In The Last Decade

Natalie Neumeyer

41 papers receiving 1.3k citations

Hit Papers

An evaluation of R2 as an inadequate measure for nonlinea... 2010 2026 2015 2020 2010 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. An evaluation of R2 as an inadequate measure for nonlinear models in pharmacological and biochemical research: a Monte Carlo approach
    2010 691 citations Andrej‐Nikolai Spiess, Natalie Neumeyer BMC Pharmacology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Natalie Neumeyer Germany 17 551 127 114 106 92 43 1.4k
Geurt Jongbloed Netherlands 20 477 0.9× 212 1.7× 127 1.1× 114 1.1× 81 0.9× 79 1.4k
Allan McQuarrie United States 9 300 0.5× 177 1.4× 58 0.5× 115 1.1× 49 0.5× 13 1.1k
Jaromı́r Antoch Czechia 13 247 0.4× 127 1.0× 83 0.7× 70 0.7× 31 0.3× 45 799
Ana M. Aguilera Spain 25 631 1.1× 222 1.7× 37 0.3× 98 0.9× 163 1.8× 111 2.2k
Prabir Burman United States 16 226 0.4× 226 1.8× 40 0.4× 70 0.7× 114 1.2× 37 1.2k
Nedret Billor United States 16 308 0.6× 110 0.9× 42 0.4× 32 0.3× 46 0.5× 45 1.1k
Shalabh India 17 473 0.9× 162 1.3× 20 0.2× 76 0.7× 39 0.4× 75 1.3k
Paul I. Feder United States 19 311 0.6× 123 1.0× 52 0.5× 217 2.0× 91 1.0× 75 1.4k
Hanfeng Chen United States 15 341 0.6× 250 2.0× 30 0.3× 67 0.6× 53 0.6× 59 1.2k
Yuzhi Cai United Kingdom 12 142 0.3× 79 0.6× 134 1.2× 46 0.4× 41 0.4× 47 828

Countries citing papers authored by Natalie Neumeyer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Neumeyer, Natalie, et al.. (2025). Testing for changes in the error distribution in functional linear models. Statistical Papers. 66(2).
2.
Neumeyer, Natalie & Marek Omelka. (2025). Generalized Hadamard differentiability of the copula mapping and its applications. Bernoulli. 31(2). 2 indexed citations
3.
Neumeyer, Natalie & Ingrid Van Keilegom. (2019). Bootstrap of residual processes in regression: to smooth or not to smooth?. Lirias (KU Leuven). 3 indexed citations
4.
Neumeyer, Natalie, et al.. (2018). A copula approach for dependence modeling in multivariate nonparametric time series. Journal of Multivariate Analysis. 171. 139–162. 17 indexed citations
5.
Dette, Holger, Stefan Hoderlein, & Natalie Neumeyer. (2015). Testing multivariate economic restrictions using quantiles: The example of Slutsky negative semidefiniteness. Journal of Econometrics. 191(1). 129–144. 21 indexed citations
6.
Volgushev, Stanislav, et al.. (2013). Significance testing in quantile regression. Electronic Journal of Statistics. 7(none). 10 indexed citations
7.
Neumeyer, Natalie & Ingrid Van Keilegom. (2010). Estimating the error distribution in nonparametric multiple regression with applications to model testing. Journal of Multivariate Analysis. 101(5). 1067–1078. 56 indexed citations
8.
Spiess, Andrej‐Nikolai & Natalie Neumeyer. (2010). An evaluation of R2 as an inadequate measure for nonlinear models in pharmacological and biochemical research: a Monte Carlo approach. BMC Pharmacology. 10(1). 6–6. 691 indexed citations breakdown →
9.
Neumeyer, Natalie & Ingrid Van Keilegom. (2009). Change‐Point Tests for the Error Distribution in Non‐parametric Regression. Scandinavian Journal of Statistics. 36(3). 518–541. 13 indexed citations
10.
Neumeyer, Natalie. (2009). Smooth Residual Bootstrap for Empirical Processes of Non‐parametric Regression Residuals. Scandinavian Journal of Statistics. 36(2). 204–228. 32 indexed citations
11.
Neumeyer, Natalie. (2009). Testing independence in nonparametric regression. Journal of Multivariate Analysis. 100(7). 1551–1566. 21 indexed citations
12.
Neumeyer, Natalie. (2008). A bootstrap version of the residual-based smooth empirical distribution function. Journal of nonparametric statistics. 20(2). 153–174. 6 indexed citations
13.
Neumeyer, Natalie, et al.. (2008). Empirical likelihood estimators for the error distribution in nonparametric regression models. Mathematical Methods of Statistics. 17(3). 241–260. 10 indexed citations
14.
Neumeyer, Natalie, et al.. (2006). BOOTSTRAP TESTS FOR THE ERROR DISTRIBUTION IN LINEAR AND NONPARAMETRIC REGRESSION MODELS. Australian & New Zealand Journal of Statistics. 48(2). 129–156. 21 indexed citations
15.
Dette, Holger, et al.. (2006). A simple nonparametric estimator of a strictly monotone regression function. Bernoulli. 12(3). 87 indexed citations
16.
Neumeyer, Natalie, et al.. (2005). A note on testing symmetry of the error distribution in linear regression models. Journal of nonparametric statistics. 17(6). 697–715. 19 indexed citations
17.
Dette, Holger, et al.. (2003). A simple nonparametric estimator of a monotone regression function. Econstor (Econstor). 3 indexed citations
18.
Dette, Holger & Natalie Neumeyer. (2003). Testing for Symmetric Error Distribution in Nonparametric Regression Models. Technical reports. 11 indexed citations
19.
Neumeyer, Natalie & Holger Dette. (2002). A note on one-sided nonparametric analysis of covariance by ranking residuals. Econstor (Econstor). 5 indexed citations
20.
Dette, Holger, et al.. (2002). Testing symmetry in nonparametric regression models. Journal of nonparametric statistics. 14(5). 477–494. 18 indexed citations

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.

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