Christopher Drovandi
Impact in
- Statistics and Probability top 0.5%
- Markov Chains and Monte Carlo Methods
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
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- Probabilistic and Robust Engineering Design
Papers in
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- Statistical Methods and Bayesian Inference 36
- Markov Chains and Monte Carlo Methods 33
- Statistical Methods and Inference 17
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- Gaussian Processes and Bayesian Inference 21
- Bayesian Methods and Mixture Models 21
- Co-authors
- A. N. Pettitt (32 shared papers)James McGree (20 shared papers)Elizabeth Ryan (5 shared papers)Kerrie Mengersen (22 shared papers)David J. Nott (12 shared papers)Anthony Lee (2 shared papers)David T. Frazier (8 shared papers)Christian P. Robert (2 shared papers)
- Journals
- Computational Statistics & Data Analysis (10 papers)Statistics and Computing (9 papers)Bayesian Analysis (9 papers)Journal of Computational and Graphical Statistics (6 papers)Biometrics (5 papers)
- Partner nations
- AustraliaUnited KingdomSingapore
In The Last Decade
Christopher Drovandi
128 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 155
- Statistics and Probability 606
- Statistics, Probability and Uncertainty 258
- Management Science and Operations Research 257
- Modeling and Simulation 85
- Artificial Intelligence 548
Countries citing papers authored by Christopher Drovandi
This map shows the geographic impact of Christopher Drovandi'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 Christopher Drovandi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Drovandi more than expected).
Fields of papers citing papers by Christopher Drovandi
This network shows the impact of papers produced by Christopher Drovandi. 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 Christopher Drovandi. The network helps show where Christopher Drovandi may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Drovandi, 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 135 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 187 | |
| 2 | 2019 | 146 | |
| 3 | 2010 | 133 | |
| 4 | 2017 | 96 | |
| 5 | 2016 | 67 | |
| 6 | 2018 | 57 | |
| 7 | 2011 | 53 | |
| 8 | 2011 | 49 | |
| 9 | 2015 | 45 | |
| 10 | 2015 | 35 | |
| 11 | 2013 | 34 | |
| 12 | 2012 | 34 | |
| 13 | 2022 | 33 | |
| 14 | 2022 | 30 | |
| 15 | 2015 | 29 | |
| 16 | 2017 | 27 | |
| 17 | 2017 | 27 | |
| 18 | 2017 | 25 | |
| 19 | 2019 | 23 | |
| 20 | 2017 | 20 |
About Christopher Drovandi
Christopher Drovandi is a scholar working on Statistics and Probability, Artificial Intelligence, Management Science and Operations Research, Statistics, Probability and Uncertainty and Molecular Biology, having authored 135 papers that have together received 1.8k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (36 papers), Markov Chains and Monte Carlo Methods (33 papers), Gaussian Processes and Bayesian Inference (21 papers), Bayesian Methods and Mixture Models (21 papers), Statistical Methods and Inference (17 papers), Optimal Experimental Design Methods (16 papers), Probabilistic and Robust Engineering Design (13 papers) and Advanced Multi-Objective Optimization Algorithms (10 papers). The work is most often cited by research in Statistics and Probability (606 citations), Statistics, Probability and Uncertainty (258 citations), Management Science and Operations Research (257 citations), Modeling and Simulation (85 citations) and Artificial Intelligence (548 citations). Christopher Drovandi has collaborated with scholars based in Australia, United Kingdom and Singapore. Frequent co-authors include A. N. Pettitt, James McGree, Elizabeth Ryan, Kerrie Mengersen, David J. Nott, Anthony Lee, David T. Frazier, Christian P. Robert, Brodie Lawson and Kevin Burrage. Their work appears in journals such as Computational Statistics & Data Analysis, Statistics and Computing, Bayesian Analysis, Journal of Computational and Graphical Statistics and Biometrics.
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.