Christel Faes

6.5k total citations
215 papers, 3.8k citations indexed

About

Christel Faes is a scholar working on Statistics and Probability, Modeling and Simulation and Epidemiology. According to data from OpenAlex, Christel Faes has authored 215 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Statistics and Probability, 58 papers in Modeling and Simulation and 44 papers in Epidemiology. Recurrent topics in Christel Faes's work include COVID-19 epidemiological studies (58 papers), Statistical Methods and Bayesian Inference (51 papers) and Data-Driven Disease Surveillance (22 papers). Christel Faes is often cited by papers focused on COVID-19 epidemiological studies (58 papers), Statistical Methods and Bayesian Inference (51 papers) and Data-Driven Disease Surveillance (22 papers). Christel Faes collaborates with scholars based in Belgium, United States and Uganda. Christel Faes's co-authors include Niel Hens, Marc Aerts, Geert Molenberghs, Philippe Beutels, Tapiwa Ganyani, Jacco Wallinga, Andrea Torneri, Cécile Kremer, Herman Goossens and Samuel Coenen and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Christel Faes

199 papers receiving 3.7k citations

Peers

Christel Faes
Comparison fields: 5 of 182
  • Modeling and Simulation 975
  • Epidemiology 898
  • Infectious Diseases 741
  • Economics and Econometrics 419
  • Statistics and Probability 395
Replace Marc Aerts with:
Marc Aerts Belgium
Michael L. Jackson United States
Emma S. McBryde Australia
Ben S. Cooper United Kingdom
Chao A. Hsiung Taiwan
André Charlett United Kingdom
Mohammad Ali United States
Alain‐Jacques Valleron France
James S. Koopman United States
Ted Cohen United States
Marc Aerts Belgium View profile →
Citations per field, relative to Christel Faes
Christel Faes · 1×
Citations per year, relative to Christel Faes
Christel Faes · 1×

Countries citing papers authored by Christel Faes

Since Specialization
Citations

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

Fields of papers citing papers by Christel Faes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christel Faes

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 1
4 1
5 5
6 3
7 5
8 5
9 1
10 10
11 50
12 16
13 43
14 13
15 4
16 36
17 3
18 7
19
Modeling overdispersed longitudinal binary data from the Jimma longitudinal studies using a combined beta and normal random-effects model
2
20
Spatial Modelling of Risk in Traffic Safety on the Road Network
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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026