Renate Meyer

4.1k total citations
90 papers, 2.5k citations indexed

About

Renate Meyer is a scholar working on Astronomy and Astrophysics, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Renate Meyer has authored 90 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Astronomy and Astrophysics, 21 papers in Artificial Intelligence and 12 papers in Statistics and Probability. Recurrent topics in Renate Meyer's work include Pulsars and Gravitational Waves Research (33 papers), Bayesian Methods and Mixture Models (12 papers) and Cosmology and Gravitation Theories (12 papers). Renate Meyer is often cited by papers focused on Pulsars and Gravitational Waves Research (33 papers), Bayesian Methods and Mixture Models (12 papers) and Cosmology and Gravitation Theories (12 papers). Renate Meyer collaborates with scholars based in New Zealand, United States and Germany. Renate Meyer's co-authors include Russell B. Millar, N. Christensen, Jun Yu, Andreas Berg, Christian Röver, Samuel Manda, Guillaume Boileau, M. C. Edwards, S. Krege and G. Giani and has published in prestigious journals such as Reviews of Modern Physics, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Renate Meyer

87 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Renate Meyer New Zealand 29 796 417 332 314 304 90 2.5k
David Higdon United States 32 888 1.1× 625 1.5× 911 2.7× 114 0.4× 790 2.6× 71 5.3k
Eero Saksman Finland 19 187 0.2× 349 0.8× 689 2.1× 43 0.1× 779 2.6× 71 4.1k
Johanna Tamminen Finland 30 910 1.1× 2.1k 4.9× 578 1.7× 31 0.1× 552 1.8× 129 5.2k
Michael G. Akritas United States 24 623 0.8× 142 0.3× 264 0.8× 32 0.1× 1.5k 5.0× 105 2.9k
Nariaki Sugiura Japan 13 104 0.1× 212 0.5× 272 0.8× 192 0.6× 661 2.2× 45 2.1k
Marko Laine Finland 22 105 0.1× 938 2.2× 257 0.8× 81 0.3× 196 0.6× 75 2.8k
Robert L. Wolpert United States 25 61 0.1× 153 0.4× 461 1.4× 67 0.2× 635 2.1× 76 2.3k
Philip B. Stark United States 26 74 0.1× 130 0.3× 511 1.5× 95 0.3× 181 0.6× 103 2.7k
Jorge Mateu Spain 31 71 0.1× 540 1.3× 505 1.5× 254 0.8× 381 1.3× 264 3.4k
David Huard Canada 15 145 0.2× 579 1.4× 134 0.4× 45 0.1× 76 0.3× 30 1.7k

Countries citing papers authored by Renate Meyer

Since Specialization
Citations

This map shows the geographic impact of Renate Meyer'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 Renate Meyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renate Meyer more than expected).

Fields of papers citing papers by Renate Meyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Renate Meyer. 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 Renate Meyer. The network helps show where Renate Meyer may publish in the future.

Co-authorship network of co-authors of Renate Meyer

This figure shows the co-authorship network connecting the top 25 collaborators of Renate Meyer. A scholar is included among the top collaborators of Renate Meyer 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 Renate Meyer. Renate Meyer 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.
Kirch, Claudia, et al.. (2025). Asymptotic considerations in a Bayesian linear model with nonparametrically modelled time series innovations. Journal of nonparametric statistics. 38(1). 144–176.
2.
Lee, Jeong Eun, et al.. (2024). Calibrating approximate Bayesian credible intervals of gravitational-wave parameters. Physical review. D. 109(8). 2 indexed citations
3.
Eldridge, J. J., et al.. (2024). Predicting gravitational wave signals from BPASS white dwarf binary and black hole binary populations of a Milky Way-like galaxy model for LISA. Monthly Notices of the Royal Astronomical Society. 534(3). 1707–1728. 6 indexed citations
4.
Bizouard, M. A., M. Obergaulinger, A. Torres-Forné, et al.. (2023). Inference of protoneutron star properties in core-collapse supernovae from a gravitational-wave detector network. Physical review. D. 107(8). 21 indexed citations
5.
Deffains, Bruno, Rodolphe Durand, Martin S. Fischer, et al.. (2023). A European Corporate Governance Model: Integrating Corporate Purpose Into Practice for a Better Society. SSRN Electronic Journal.
6.
Boileau, Guillaume, N. Christensen, & Renate Meyer. (2022). Figures of merit for a stochastic gravitational-wave background measurement by LISA: Implications of LISA Pathfinder noise correlations. Physical review. D. 106(6). 6 indexed citations
7.
Boileau, Guillaume, A. Lamberts, N. Christensen, Neil J. Cornish, & Renate Meyer. (2021). Spectral separation of the stochastic gravitational-wave background for LISA in the context of a modulated Galactic foreground. Monthly Notices of the Royal Astronomical Society. 508(1). 803–826. 39 indexed citations
8.
Bizouard, M. A., A. Torres-Forné, M. Obergaulinger, et al.. (2021). Inference of protoneutron star properties from gravitational-wave data in core-collapse supernovae. Physical review. D. 103(6). 33 indexed citations
9.
Romme, A.G.L., Christopher Ansell, Johanna Mair, et al.. (2018). United People: Designing A New Model of Global Governance. Journal of Asian Scientific Research. 8(4). 152–170. 2 indexed citations
10.
Zimmermann, Markus, et al.. (2017). Surgical management of complicated rectovaginal fistulas and the role of omentoplasty. Techniques in Coloproctology. 21(12). 945–952. 10 indexed citations
11.
Meyer, Renate, et al.. (2016). Hydrogeologische Räume und Teilräume in Niedersachsen. 3. 9 indexed citations
12.
Meyer, Renate & N. Christensen. (2016). Gravitational Waves: A Statistical Autopsy of a Black Hole Merger. Significance. 13(2). 20–25. 3 indexed citations
13.
Manda, Samuel & Renate Meyer. (2004). Bayesian inference for recurrent events data using time‐dependent frailty. Statistics in Medicine. 24(8). 1263–1274. 17 indexed citations
14.
Unland, Rainer, et al.. (2003). OOPS-an object oriented programming system with integrated data management facility. Universitätsbibliographie, Universität Duisburg-Essen. 5. 118–125. 1 indexed citations
15.
Dowd, Michael & Renate Meyer. (2003). A Bayesian approach to the ecosystem inverse problem. Ecological Modelling. 168(1-2). 39–55. 38 indexed citations
16.
Meyer, Renate & N. Christensen. (2001). Fast Bayesian reconstruction of chaotic dynamical systems via extended Kalman filtering. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 65(1). 16206–16206. 24 indexed citations
17.
Hezel, Rudolf, Renate Meyer, & A. Metz. (2001). A new generation of crystalline silicon solar cells: Simple processing and record efficiencies for industrial-size devices. Solar Energy Materials and Solar Cells. 65(1-4). 311–316. 15 indexed citations
18.
Mathar, Rudolf & Renate Meyer. (1994). Algorithms in Convex Analysis to Fit lp-Distance Matrices. Journal of Multivariate Analysis. 51(1). 102–120. 2 indexed citations
19.
Mathar, Rudolf & Renate Meyer. (1993). Preorderings, monotone functions, and best rank r approximations with applications to classical MDS. Journal of Statistical Planning and Inference. 37(3). 291–305. 2 indexed citations
20.
Meyer, Renate, et al.. (1987). Expo - An Expert System For The Load Dispatching Control Center Of A Power Supply Company. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 786. 584–584. 1 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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