Joseph Dureau

573 total citations
6 papers, 111 citations indexed

About

Joseph Dureau is a scholar working on Modeling and Simulation, Management Science and Operations Research and Statistics and Probability. According to data from OpenAlex, Joseph Dureau has authored 6 papers receiving a total of 111 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Modeling and Simulation, 2 papers in Management Science and Operations Research and 2 papers in Statistics and Probability. Recurrent topics in Joseph Dureau's work include COVID-19 epidemiological studies (3 papers), Scientific Computing and Data Management (1 paper) and Sex work and related issues (1 paper). Joseph Dureau is often cited by papers focused on COVID-19 epidemiological studies (3 papers), Scientific Computing and Data Management (1 paper) and Sex work and related issues (1 paper). Joseph Dureau collaborates with scholars based in United Kingdom, India and Canada. Joseph Dureau's co-authors include Marc Baguelin, Bernard Cazelles, Clara Champagne, Alexandros Beskos, Michael Pickles, Sébastien Ballesteros, Marie‐Claude Boily, Peter Vickerman, B M Ramesh and Michel Alary and has published in prestigious journals such as Biometrika, PLoS Computational Biology and Journal of the Royal Statistical Society Series C (Applied Statistics).

In The Last Decade

Joseph Dureau

6 papers receiving 109 citations

Peers

Countries citing papers authored by Joseph Dureau

Since Specialization

Citations

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

Fields of papers citing papers by Joseph Dureau

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph Dureau

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph Dureau. A scholar is included among the top collaborators of Joseph Dureau 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 Joseph Dureau. Joseph Dureau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

#	Work	Indexed citations
1	Accounting for non-stationarity in epidemiology by embedding time-varying parameters in stochastic models 2018 ·PLoS Computational Biology ·Bernard Cazelles, Clara Champagne, Joseph Dureau	36
2	A Bayesian Approach to Estimate Changes in Condom Use from Limited Human Immunodeficiency Virus Prevalence Data 2015 ·Journal of the Royal Statistical Society Series C (Applied Statistics) ·Joseph Dureau, (unknown), Peter Vickerman, Michael Pickles, Marie‐Claude Boily	2
3	Bayesian inference for partially observed stochastic differential equations driven by fractional Brownian motion 2015 ·Biometrika ·Alexandros Beskos, Joseph Dureau, (unknown)	9
4	plom-pipe: Bayesian inference for compartmental models, with a Unix flavour 2013 ·arXiv (Cornell University) ·Joseph Dureau, Sébastien Ballesteros	1
5	Capturing the time-varying drivers of an epidemic using stochastic dynamical systems 2013 ·Biostatistics ·Joseph Dureau, (unknown), Marc Baguelin	60
6	P1-S6.06 What has been the effect of the Avahan HIV intervention on condom use among female sex workers? Insights from a fully Bayesian inference methodology 2011 ·Sexually Transmitted Infections ·Joseph Dureau, Marie‐Claude Boily, Peter Vickerman, Michael Pickles, Shajy Isac, B M Ramesh, Santwana Verma, Stephen Moses, Michel Alary, (unknown)	3

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.

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