World's Best Scientists 2026 revealed!
Award Badge
Mathematics
Australia
2026

D-Index & Metrics

Mathematics

D-Index
64
Citations
18707
World Ranking
412
National Ranking
11

Research.com Recognitions

  • 2026 - Research.com Mathematics in Australia Leader Award
  • 2025 - Research.com Mathematics in Australia Leader Award
  • 2023 - Research.com Mathematics in Australia Leader Award
  • 2018 - Fellow of the Australian Academy of Science

Overview

Kerrie Mengersen is affiliated with Queensland University of Technology in Australia. Their research spans medicine and environmental science, particularly emphasizing interdisciplinary approaches that integrate statistical methods and computational modeling.

The scientist's main fields of study include:

  • Medicine
  • Environmental Science

Subfields of study reflect a focus on advanced quantitative and applied research areas:

  • Artificial Intelligence
  • Epidemiology
  • Economics and Econometrics
  • Ecology
  • Statistics and Probability

Kerrie Mengersen's research covers diverse topics including:

  • Data-Driven Disease Surveillance
  • COVID-19 Epidemiological Studies
  • Species Distribution and Climate Change
  • Statistical Methods and Bayesian Inference
  • Global Cancer Incidence and Screening
  • Spatial and Panel Data Analysis
  • Bayesian Methods and Mixture Models

They have collaborated frequently with several researchers, such as:

  • Edgar Santos-Fernández
  • Susanna Cramb
  • Wenbiao Hu
  • Paul Pao-Yen Wu
  • Peter D. Baade

The scientist has contributed to multiple publication venues, with significant numbers of publications in:

  • arXiv (Cornell University)
  • PLoS ONE
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Scientific Reports
  • SSRN Electronic Journal

Representative recent papers by Kerrie Mengersen include:

  • Global, regional, and national burden of lung cancer and its attributable risk factors, 1990 to 2017, 2020, Cancer
  • Forecasting intensifying disturbance effects on coral reefs, 2020, Global Change Biology
  • A new ecosystem for evidence synthesis, 2020, Nature Ecology & Evolution
  • Informing management decisions for ecological networks, using dynamic models calibrated to noisy time-series data, 2020, Ecology Letters
  • Analysis of sloppiness in model simulations: unveiling parameter uncertainty when mathematical models are fitted to data, 2022, arXiv (Cornell University)

Kerrie Mengersen has also authored books in the field, including:

  • Case Studies in Applied Bayesian Data Science, published by Springer Nature in 2020

Recognition for their contributions includes being named a Fellow of the Australian Academy of Science in 2018.

Best Publications

  • Bayesian Computation and Stochastic Systems

    Julian Besag;Peter Green;David Higdon;Kerrie L. Mengersen

  • Handbook of Meta-analysis in Ecology and Evolution

    Julia Koricheva;Jessica Gurevitch;Kerrie L. Mengersen

  • Bayesian Modelling and Inference on Mixtures of Distributions

    Jean-Michel Marin;Kerrie Mengersen;Christian P. Robert

  • Rates of convergence of the Hastings and Metropolis algorithms

    Kerrie L. Mengersen;Richard L. Tweedie

  • Species richness on coral reefs and the pursuit of convergent global estimates

    Rebecca Fisher;Rebecca A. O’Leary;Samantha Low-Choy;Kerrie Mengersen

  • Climate change and dengue: a critical and systematic review of quantitative modelling approaches

    Suchithra Naish;Pat Dale;John S. Mackenzie;John W McBride

  • On Bayesian analysis of mixtures with an unknown number of components. Discussion. Author's reply

    S. Richardson;P. J. Green;C. P. Robert;M. Aitkin

  • Asymptotic behaviour of the posterior distribution in overfitted mixture models

    Judith Rousseau;Kerrie Mengersen

  • [Bayesian Computation and Stochastic Systems]: Rejoinder

    Julian Besag;Peter Green;David Higdon;Kerrie Mengersen

  • Elicitation by design in ecology: using expert opinion to inform priors for Bayesian statistical models

    Samantha J. Low Choy;Rebecca A. O'Leary;Kerrie L. Mengersen

  • Meta-analysis of variation: ecological and evolutionary applications and beyond

    Shinichi Nakagawa;Robert Poulin;Kerrie Mengersen;Klaus Reinhold

  • The power of expert opinion in ecological models using Bayesian methods: impact of grazing on birds

    Tara G. Martin;Tara G. Martin;Petra M. Kuhnert;Petra M. Kuhnert;Kerrie L. Mengersen;Hugh P. Possingham

  • Daily average temperature and mortality among the elderly: a meta-analysis and systematic review of epidemiological evidence.

    Weiwei Yu;Kerrie Mengersen;Xiaoyu Wang;Xiaofang Ye

  • A proposed validation framework for expert elicited Bayesian Networks

    Jegar Pitchforth;Kerrie Mengersen

  • Statistical machine learning methods and remote sensing for sustainable development goals: A review

    Jacinta Holloway;Kerrie L. Mengersen

  • MCMC convergence diagnostics : a review

    K. L. Mengersen

  • Airborne laser scanning: Exploratory data analysis indicates potential variables for classification of individual trees or forest stands according to species

    Trevor Moffiet;Kerrie Mengersen;Christian Witte;R King

  • Multivariate meta-analysis

    In-Sun Nam;Kerrie Mengersen;Paul Garthwaite

  • Combining Expert Opinions in Prior Elicitation

    Isabelle Albert;Sophie Donnet;Chantal Guihenneuc-Jouyaux;Samantha Low-Choy

  • Mixtures: Estimation and Applications

    Kerrie L. Mengersen;Christian P. Robert;D. M. Titterington

  • Wiley Series in Probability and Statistics

    Clair L. Alston;Kerrie L. Mengersen;Anthony N. Pettitt

Frequent Co-Authors

Shilu Tong
Shilu Tong Shanghai Jiao Tong University
Lidia Morawska
Lidia Morawska Queensland University of Technology
Christian P. Robert
Christian P. Robert Paris Dauphine University
Gail M. Williams
Gail M. Williams University of Queensland
Zoran Ristovski
Zoran Ristovski Queensland University of Technology
Lorraine Mazerolle
Lorraine Mazerolle University of Queensland
John S. Mackenzie
John S. Mackenzie Curtin University
Tareq Hussein
Tareq Hussein University of Helsinki
Prasad Yarlagadda
Prasad Yarlagadda Queensland University of Technology
Anthony N. Pettitt
Anthony N. Pettitt Queensland University of Technology

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Mathematics in the USA opens many doors to related online degrees and diverse career pathways. Many students explore fields like data science, analytics, and business where math skills are highly valued. For instance, a masters in data analytics is a popular choice that complements a math background by emphasizing data-driven decision-making and statistical analysis.

For those interested in blending math expertise with business acumen, pursuing an MBA can be a strategic move. Finding the right program is crucial and exploring the can you transfer mba credits question is often a priority for students looking to leverage prior coursework or accelerate their path.

Many professionals balance studies with work, so knowing which programs offer flexibility helps. Some prefer the easiest mba programs to gain additional qualifications quickly. Resources highlighting the easiest and fastest online mba programs are invaluable for those aiming to advance without extensive time commitments.

Overall, combining mathematics with these complementary online degrees can greatly enhance career prospects across technology, finance, and management sectors.

Best Scientists Citing Kerrie Mengersen

Trending Scientists

Recently Published Articles