Marc Aerts
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies 18
- Statistics and Probability top 0.5%
- Statistical Methods and Bayesian Inference 56
- Statistical Methods and Inference 38
- Statistical Methods in Clinical Trials 27
- Infectious Diseases top 1%
- Molecular Medicine top 2%
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- Bayesian Methods and Mixture Models 19
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- Animal Disease Management and Epidemiology 19
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- Salmonella and Campylobacter epidemiology 16
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- Pneumonia and Respiratory Infections 16
- Co-authors
- Marc ArbynVictoria Nyawira NyagaNiel HensGeert MolenberghsPierre Van DammeChristel FaesPhilippe BeutelsZiv Shkedy
- Journals
- Statistics in Medicine (12 papers)Journal of Antimicrobial Chemotherapy (9 papers)Statistical Modelling (9 papers)
- Partner nations
- BelgiumUnited StatesUnited Kingdom
In The Last Decade
Marc Aerts
214 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 202
- Applied Microbiology and Biotechnology 404
- Modeling and Simulation 631
- Statistics and Probability 909
- Infectious Diseases 1.1k
- Molecular Medicine 282
Countries citing papers authored by Marc Aerts
This map shows the geographic impact of Marc Aerts'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 Marc Aerts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Aerts more than expected).
Fields of papers citing papers by Marc Aerts
This network shows the impact of papers produced by Marc Aerts. 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 Marc Aerts. The network helps show where Marc Aerts may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marc Aerts, 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 | 2022 | 1 | |
| 2 | 2021 | 5 | |
| 3 | 2020 | 13 | |
| 4 | 2018 | 1 | |
| 5 | 2017 | 11 | |
| 6 | 2015 | 6 | |
| 7 | METAPROP_ONE: Stata module to perform fixed and random effects meta-analysis of proportions | 2014 | 13 |
| 8 | 2013 | 12 | |
| 9 | 2013 | 20 | |
| 10 | 2012 | 38 | |
| 11 | Modelling Combined Continuous and Ordinal Outcomes from Developmental Toxicity Studies | 2012 | 1 |
| 12 | 2011 | 14 | |
| 13 | 2010 | 64 | |
| 14 | Shared-parameter models and missingness at random | 2009 | 2 |
| 15 | Development of a modular quantitative microbial risk assessment to evaluate zoonotic risks in Belgium: Salmonellosis through consumption of pork as an example | 2009 | 0 |
| 16 | Classification of Trends in Dose-Response Microarray Experiments Using Information Theory Selection Methods | 2009 | 4 |
| 17 | Nonlinear models in transportation | 2007 | 0 |
| 18 | Classification trees and its application to cervix cancer screening in the Belgian Health Interview Survey | 2002 | 1 |
| 19 | 1999 | 63 | |
| 20 | 1997 | 40 |
About Marc Aerts
Marc Aerts is a scholar working on Statistics and Probability, Applied Microbiology and Biotechnology, Modeling and Simulation, Agronomy and Crop Science and Management Science and Operations Research, having authored 227 papers that have together received 6.7k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (56 papers), Statistical Methods and Inference (38 papers), Statistical Methods in Clinical Trials (27 papers), Bayesian Methods and Mixture Models (19 papers), Animal Disease Management and Epidemiology (19 papers), COVID-19 epidemiological studies (18 papers), Salmonella and Campylobacter epidemiology (16 papers) and Pneumonia and Respiratory Infections (16 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (404 citations), Modeling and Simulation (631 citations), Statistics and Probability (909 citations), Infectious Diseases (1.1k citations) and Molecular Medicine (282 citations). Marc Aerts has collaborated with scholars based in Belgium, United States and United Kingdom. Frequent co-authors include Marc Arbyn, Victoria Nyawira Nyaga, Niel Hens, Geert Molenberghs, Pierre Van Damme, Christel Faes, Philippe Beutels, Ziv Shkedy, Gerda Claeskens and Nele Goeyvaerts. Their work appears in journals such as Statistics in Medicine, Journal of Antimicrobial Chemotherapy, Statistical Modelling, Preventive Veterinary Medicine and Computational Statistics & Data Analysis.
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.