Radu Herbei
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Markov Chains and Monte Carlo Methods
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- Probabilistic and Robust Engineering Design
Papers in
-
- Bayesian Methods and Mixture Models 9
- Gaussian Processes and Bayesian Inference 6
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- Statistical Methods and Bayesian Inference 6
- Markov Chains and Monte Carlo Methods 5
- Statistical Methods and Inference 5
- Co-authors
- Marten Wegkamp (1 shared paper)Ian W. McKeague (3 shared papers)L. Mark Berliner (3 shared papers)Kevin Speer (1 shared paper)Geoff K. Nicholls (1 shared paper)Sebastian Kurtek (1 shared paper)Yi Lu (1 shared paper)James M. Flegal (1 shared paper)
- Journals
- PLoS ONE (3 papers)Ecological Modelling (2 papers)Journal of Statistical Computation and Simulation (2 papers)Mathematical Biosciences (1 paper)Canadian Journal of Statistics (1 paper)
- Partner nations
- United StatesAustraliaFrance
In The Last Decade
Radu Herbei
24 papers receiving 340 citations
Peers
Comparison fields: 5 of 86
- Statistics and Probability 72
- Statistics, Probability and Uncertainty 49
- Artificial Intelligence 154
- Oceanography 44
- Management Science and Operations Research 38
Countries citing papers authored by Radu Herbei
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
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-authors
The 25 scholars most cited alongside Radu Herbei, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 110 | |
| 2 | 2022 | 32 | |
| 3 | 2005 | 29 | |
| 4 | 2008 | 28 | |
| 5 | 2017 | 18 | |
| 6 | 2013 | 17 | |
| 7 | 2014 | 14 | |
| 8 | 2022 | 13 | |
| 9 | 2014 | 13 | |
| 10 | Modern Statistical Methods in Oceanography: A Hierarchical Perspective | 2016 | 12 |
| 11 | 2012 | 12 | |
| 12 | 2015 | 9 | |
| 13 | 2016 | 7 | |
| 14 | 2010 | 7 | |
| 15 | 2009 | 6 | |
| 16 | 2017 | 5 | |
| 17 | 2016 | 5 | |
| 18 | 2020 | 5 | |
| 19 | 2015 | 3 | |
| 20 | 2013 | 3 |
About Radu Herbei
Radu Herbei is a scholar working on Artificial Intelligence, Statistics and Probability, Statistics, Probability and Uncertainty, Oceanography and Global and Planetary Change, having authored 25 papers that have together received 353 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (9 papers), Statistical Methods and Bayesian Inference (6 papers), Gaussian Processes and Bayesian Inference (6 papers), Markov Chains and Monte Carlo Methods (5 papers), Statistical Methods and Inference (5 papers), Probabilistic and Robust Engineering Design (5 papers), Oceanographic and Atmospheric Processes (4 papers) and Polar Research and Ecology (2 papers). The work is most often cited by research in Statistics and Probability (72 citations), Statistics, Probability and Uncertainty (49 citations), Artificial Intelligence (154 citations), Oceanography (44 citations) and Management Science and Operations Research (38 citations). Radu Herbei has collaborated with scholars based in United States, Australia and France. Frequent co-authors include Marten Wegkamp, Ian W. McKeague, L. Mark Berliner, Kevin Speer, Geoff K. Nicholls, Kevin Speer, Sebastian Kurtek, Yi Lu, James M. Flegal and Laura Kubatko. Their work appears in journals such as PLoS ONE, Ecological Modelling, Journal of Statistical Computation and Simulation, Mathematical Biosciences and Canadian Journal of Statistics.
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.