Radu Herbei

550 total citations
24 papers, 327 citations indexed

About

Radu Herbei is a scholar working on Artificial Intelligence, Statistics and Probability and Statistics, Probability and Uncertainty. According to data from OpenAlex, Radu Herbei has authored 24 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 11 papers in Statistics and Probability and 5 papers in Statistics, Probability and Uncertainty. Recurrent topics in Radu Herbei's work include Bayesian Methods and Mixture Models (8 papers), Statistical Methods and Bayesian Inference (6 papers) and Gaussian Processes and Bayesian Inference (6 papers). Radu Herbei is often cited by papers focused on Bayesian Methods and Mixture Models (8 papers), Statistical Methods and Bayesian Inference (6 papers) and Gaussian Processes and Bayesian Inference (6 papers). Radu Herbei collaborates with scholars based in United States, Australia and United Kingdom. Radu Herbei's co-authors include Marten Wegkamp, Ian W. McKeague, Kevin Speer, L. Mark Berliner, Kevin Speer, Geoff K. Nicholls, James M. Flegal, Laura Kubatko, Sebastian Kurtek and Peter F. Craigmile and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and Technometrics.

In The Last Decade

Radu Herbei

23 papers receiving 315 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Radu Herbei United States 10 142 68 45 38 37 24 327
José R. León Venezuela 13 82 0.6× 152 2.2× 20 0.4× 48 1.3× 19 0.5× 55 554
Matti Vihola Finland 10 204 1.4× 166 2.4× 25 0.6× 21 0.6× 24 0.6× 31 454
Xin T. Tong United States 12 99 0.7× 57 0.8× 37 0.8× 16 0.4× 23 0.6× 40 379
Nikolas Kantas United Kingdom 11 246 1.7× 120 1.8× 44 1.0× 23 0.6× 9 0.2× 33 461
Simon Byrne United States 6 97 0.7× 94 1.4× 30 0.7× 11 0.3× 11 0.3× 11 331
Ted Chang United States 13 145 1.0× 265 3.9× 47 1.0× 31 0.8× 13 0.4× 32 673
Nick Whiteley United Kingdom 13 270 1.9× 104 1.5× 13 0.3× 22 0.6× 32 0.9× 39 505
Cari G. Kaufman United States 8 177 1.2× 117 1.7× 40 0.9× 52 1.4× 5 0.1× 10 550
Inge Koch Australia 12 111 0.8× 111 1.6× 21 0.5× 13 0.3× 14 0.4× 55 479
Grace Chan Australia 6 69 0.5× 56 0.8× 20 0.4× 9 0.2× 6 0.2× 8 404

Countries citing papers authored by Radu Herbei

Since Specialization
Citations

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

Fields of papers citing papers by Radu Herbei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Radu Herbei

This figure shows the co-authorship network connecting the top 25 collaborators of Radu Herbei. A scholar is included among the top collaborators of Radu Herbei 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 Radu Herbei. Radu Herbei 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.
Berliner, L. Mark, Radu Herbei, Christopher K. Wikle, & Ralph F. Milliff. (2023). Excursions in the Bayesian treatment of model error. PLoS ONE. 18(6). e0286624–e0286624.
2.
Pratola, Matthew T., et al.. (2022). The taxicab sampler: MCMC for discrete spaces with application to tree models. Journal of Statistical Computation and Simulation. 93(5). 753–774. 1 indexed citations
3.
Barbillon, Pierre, Robert B. Gramacy, Radu Herbei, et al.. (2022). Analyzing Stochastic Computer Models: A Review with Opportunities. Statistical Science. 37(1). 29 indexed citations
4.
Craigmile, Peter F., et al.. (2022). Statistical inference for stochastic differential equations. Wiley Interdisciplinary Reviews Computational Statistics. 15(2). 12 indexed citations
5.
Liu, Ge, Peter F. Craigmile, & Radu Herbei. (2020). A study of the data augmentation strategy for stochastic differential equations. Journal of Statistical Computation and Simulation. 90(10). 1753–1772. 1 indexed citations
6.
Barbillon, Pierre, Robert B. Gramacy, Radu Herbei, et al.. (2020). Analyzing Stochastic Computer Models: A Review with Opportunities. arXiv (Cornell University). 4 indexed citations
7.
Herbei, Radu, Rajib Paul, & L. Mark Berliner. (2017). Applying diffusion-based Markov chain Monte Carlo. PLoS ONE. 12(3). e0173453–e0173453. 5 indexed citations
8.
Herbei, Radu, et al.. (2016). Hydrological Controls on Ecosystem Dynamics in Lake Fryxell, Antarctica. PLoS ONE. 11(7). e0159038–e0159038. 7 indexed citations
9.
Craigmile, Peter F., et al.. (2016). Maximum Likelihood Estimation for Stochastic Differential Equations Using Sequential Gaussian-Process-Based Optimization. Technometrics. 59(2). 178–188. 5 indexed citations
10.
Herbei, Radu, et al.. (2015). Geometric ergodicity of a hybrid sampler for Bayesian inference of phylogenetic branch lengths. Mathematical Biosciences. 268. 9–21. 3 indexed citations
11.
Kubatko, Laura, Premal Shah, Radu Herbei, & Michael A. Gilchrist. (2015). A codon model of nucleotide substitution with selection on synonymous codon usage. Molecular Phylogenetics and Evolution. 94. 290–297. 9 indexed citations
12.
Herbei, Radu & L. Mark Berliner. (2014). Estimating Ocean Circulation: An MCMC Approach With Approximated Likelihoods via the Bernoulli Factory. Journal of the American Statistical Association. 109(507). 944–954. 13 indexed citations
13.
Herbei, Radu, et al.. (2014). A Monte Carlo approach to quantifying model error in Bayesian parameter estimation. Computational Statistics & Data Analysis. 83. 168–181. 1 indexed citations
14.
Herbei, Radu & Laura Kubatko. (2013). Monte Carlo estimation of total variation distance of Markov chains on large spaces, with application to phylogenetics. Statistical Applications in Genetics and Molecular Biology. 12(1). 39–48. 2 indexed citations
15.
Flegal, James M. & Radu Herbei. (2012). Exact sampling for intractable probability distributions via a Bernoulli factory. Electronic Journal of Statistics. 6(none). 12 indexed citations
16.
Herbei, Radu, W. Berry Lyons, Johanna Laybourn‐Parry, et al.. (2010). Physiochemical properties influencing biomass abundance and primary production in Lake Hoare, Antarctica. Ecological Modelling. 221(8). 1184–1193. 7 indexed citations
17.
Herbei, Radu & Ian W. McKeague. (2009). Hybrid Samplers for Ill‐Posed Inverse Problems. Scandinavian Journal of Statistics. 36(4). 839–853. 6 indexed citations
18.
Herbei, Radu, Ian W. McKeague, & Kevin Speer. (2008). Gyres and Jets: Inversion of Tracer Data for Ocean Circulation Structure. Journal of Physical Oceanography. 38(6). 1180–1202. 27 indexed citations
19.
Herbei, Radu & Marten Wegkamp. (2006). Classification with reject option. Canadian Journal of Statistics. 34(4). 709–721. 107 indexed citations
20.
McKeague, Ian W., Geoff K. Nicholls, Kevin Speer, & Radu Herbei. (2005). Statistical inversion of South Atlantic circulation in an abyssal neutral density layer. Journal of Marine Research. 63(4). 683–704. 27 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by José R. León Breakdown of academic impact, for papers by Matti Vihola Breakdown of academic impact, for papers by Xin T. Tong Breakdown of academic impact, for papers by Nikolas Kantas Breakdown of academic impact, for papers by Simon Byrne Breakdown of academic impact, for papers by Ted Chang Breakdown of academic impact, for papers by Nick Whiteley Breakdown of academic impact, for papers by Cari G. Kaufman Breakdown of academic impact, for papers by Inge Koch Breakdown of academic impact, for papers by Grace Chan
Rankless by CCL
2026