Oliver J. Maclaren
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies 9
- Statistics and Probability top 10%
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- Gene Regulatory Network Analysis 5
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- SARS-CoV-2 and COVID-19 Research 5
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- Influenza Virus Research Studies 4
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- Reservoir Engineering and Simulation Methods 4
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- Evolution and Genetic Dynamics 4
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- Hydrocarbon exploration and reservoir analysis 3
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- Advanced Multi-Objective Optimization Algorithms 3
- Co-authors
- Matthew J. SimpsonRuth E. BakerSean T. VittadelloAlexander P. BrowningRyan J. MurphyJames SneydMichael J. PlankEdmund J. Crampin
- Journals
- Journal of Theoretical Biology (5 papers)Journal of The Royal Society Interface (4 papers)PLoS Computational Biology (3 papers)
- Partner nations
- New ZealandAustraliaUnited Kingdom
In The Last Decade
Oliver J. Maclaren
34 papers receiving 486 citations
Peers
Comparison fields: 5 of 116
- Modeling and Simulation 93
- Statistics and Probability 28
- Statistics, Probability and Uncertainty 23
- Molecular Biology 192
- Information Systems and Management 18
Countries citing papers authored by Oliver J. Maclaren
This map shows the geographic impact of Oliver J. Maclaren'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 Oliver J. Maclaren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oliver J. Maclaren more than expected).
Fields of papers citing papers by Oliver J. Maclaren
This network shows the impact of papers produced by Oliver J. Maclaren. 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 Oliver J. Maclaren. The network helps show where Oliver J. Maclaren may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Oliver J. Maclaren, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 19 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 11 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 22 | |
| 9 | 2023 | 5 | |
| 10 | 2022 | 12 | |
| 11 | 2022 | 12 | |
| 12 | 2022 | 24 | |
| 13 | 2022 | 8 | |
| 14 | 2022 | 4 | |
| 15 | Profile likelihood analysis for a stochastic model of diffusion in heterogeneous media | 2021 | 12 |
| 16 | 2021 | 23 | |
| 17 | 2020 | 60 | |
| 18 | Incorporating posterior model discrepancy into a hierarchical framework to facilitate out-of-the-box MCMC sampling for geothermal inverse problems and uncertainty quantification | 2018 | 1 |
| 19 | 2012 | 13 | |
| 20 | 2012 | 14 |
About Oliver J. Maclaren
Oliver J. Maclaren is a scholar working on Modeling and Simulation, Statistics, Probability and Uncertainty and Infectious Diseases, having authored 37 papers that have together received 499 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (9 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Gene Regulatory Network Analysis (5 papers), Influenza Virus Research Studies (4 papers), Reservoir Engineering and Simulation Methods (4 papers), Evolution and Genetic Dynamics (4 papers), Hydrocarbon exploration and reservoir analysis (3 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). The work is most often cited by research in Modeling and Simulation (93 citations), Statistics and Probability (28 citations) and Statistics, Probability and Uncertainty (23 citations). Oliver J. Maclaren has collaborated with scholars based in New Zealand, Australia and United Kingdom. Frequent co-authors include Matthew J. Simpson, Ruth E. Baker, Sean T. Vittadello, Alexander P. Browning, Ryan J. Murphy, James Sneyd, Michael J. Plank, Edmund J. Crampin, Audrey Lustig and Alexander G. Fletcher. Their work appears in journals such as Journal of Theoretical Biology, Journal of The Royal Society Interface, PLoS Computational Biology, Infectious Disease Modelling and Water Resources Research.
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.