Mélodie Monod

6.5k total citations
5 papers, 47 citations indexed

About

Mélodie Monod is a scholar working on Modeling and Simulation, Health, Toxicology and Mutagenesis and Epidemiology. According to data from OpenAlex, Mélodie Monod has authored 5 papers receiving a total of 47 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Modeling and Simulation, 2 papers in Health, Toxicology and Mutagenesis and 2 papers in Epidemiology. Recurrent topics in Mélodie Monod's work include COVID-19 epidemiological studies (3 papers), Climate Change and Health Impacts (2 papers) and HIV, Drug Use, Sexual Risk (1 paper). Mélodie Monod is often cited by papers focused on COVID-19 epidemiological studies (3 papers), Climate Change and Health Impacts (2 papers) and HIV, Drug Use, Sexual Risk (1 paper). Mélodie Monod collaborates with scholars based in United Kingdom, Denmark and Greece. Mélodie Monod's co-authors include Oliver Ratmann, H. Juliette T. Unwin, Michaela Vollmer, Harrison Zhu, Katy A. M. Gaythorpe, Swapnil Mishra, Christl A. Donnelly, Charles Whittaker, Neil M. Ferguson and Thomas A. Mellan and has published in prestigious journals such as Scientific Reports, eLife and PLoS Computational Biology.

In The Last Decade

Mélodie Monod

5 papers receiving 45 citations

Peers

Mélodie Monod

MS

EE

GHP

HEALT

ID

Harrison Zhu United Kingdom

Helen Coupland United Kingdom

Heather Harewood Barbados

Viktória Szerencsés Hungary

Maia Salholz‐Hillel Germany

Ashish Koshy United Arab Emirates

Douglas Gieryn United States

Masaya Kato India

Henna Reddy United Kingdom

Shin Young Park South Korea

Harrison Zhu United Kingdom

Mélodie Monod

20 ×1.1

MS

11 ×1.0

EE

11 ×1.1

GHP

9 ×1.0

HEALT

6 ×0.8

ID

Citations per year, relative to Mélodie Monod Mélodie Monod (= 1×) peers Harrison Zhu

Countries citing papers authored by Mélodie Monod

Since Specialization

Citations

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

Fields of papers citing papers by Mélodie Monod

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mélodie Monod

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

All Works

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5 of 5 papers shown

1.

Monod, Mélodie, Peter Krusche, Qian Cao, et al.. (2024). TorchSurv: A Lightweight Package for Deep Survival Analysis. The Journal of Open Source Software. 9(104). 7341–7341. 3 indexed citations

2.

Chen, Yu, Yining Chen, Mélodie Monod, et al.. (2023). Estimating fine age structure and time trends in human contact patterns from coarse contact data: The Bayesian rate consistency model. PLoS Computational Biology. 19(6). e1011191–e1011191. 2 indexed citations

3.

Monod, Mélodie, Alexandra Blenkinsop, Yu Chen, et al.. (2022). Regularised B-splines Projected Gaussian Process Priors to Estimate Time-trends in Age-specific COVID-19 Deaths. Bayesian Analysis. 18(3). 3 indexed citations

4.

Blenkinsop, Alexandra, Mélodie Monod, Ard van Sighem, et al.. (2022). Estimating the potential to prevent locally acquired HIV infections in a UNAIDS Fast-Track City, Amsterdam. eLife. 11. 3 indexed citations

5.

Mishra, Swapnil, James A. Scott, Daniel J. Laydon, et al.. (2021). Comparing the responses of the UK, Sweden and Denmark to COVID-19 using counterfactual modelling. Scientific Reports. 11(1). 16342–16342. 36 indexed citations

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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