Maarten Bekaert
- Critical Care and Intensive Care Medicine top 1%
- Epidemiology top 10%
- Pulmonary and Respiratory Medicine top 10%
- Statistics and Probability top 2%
- Molecular Biology
- Co-authors
- Stijn VansteelandtTheis LangeJohan DecruyenaereDominique BenoîtPieter DepuydtGerda ClaeskensLinda BoulangerK. De Boeck
- Topics
- Advanced Causal Inference Techniques (4 papers)Statistical Methods and Bayesian Inference (3 papers)Pneumonia and Respiratory Infections (3 papers)
- Cited by
- Critical Care and Intensive Care MedicineStatistics and ProbabilityApplied Microbiology and Biotechnology
In The Last Decade
Maarten Bekaert
12 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 117
- Critical Care and Intensive Care Medicine 304
- Epidemiology 270
- Pulmonary and Respiratory Medicine 263
- Statistics and Probability 191
- Molecular Biology 174
Countries citing papers authored by Maarten Bekaert
This map shows the geographic impact of Maarten Bekaert'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 Maarten Bekaert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maarten Bekaert more than expected).
Fields of papers citing papers by Maarten Bekaert
This network shows the impact of papers produced by Maarten Bekaert. 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 Maarten Bekaert. The network helps show where Maarten Bekaert may publish in the future.
Co-authorship network of co-authors of Maarten Bekaert
This figure shows the co-authorship network connecting the top 25 collaborators of Maarten Bekaert. A scholar is included among the top collaborators of Maarten Bekaert 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 Maarten Bekaert. Maarten Bekaert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 108 | |
| 2 | 343 | |
| 3 | 7 | |
| 4 | 266 | |
| 5 | Is there an effect of sow washing on the livestock-associated methicillin-resistant Staphylococcus aureus (MRSA) status or not? | 1 |
| 6 | 95 | |
| 7 | 115 | |
| 8 | 2 | |
| 9 | EXCESS RISK OF DEATH FROM VENTILATOR ASSOCIATED PNEUMONIA: A REAPPRAISAL USING LONGITUDINAL CAUSAL ANALYSIS | 2 |
| 10 | 29 | |
| 11 | 4 | |
| 12 | 87 |
About Maarten Bekaert
Maarten Bekaert is a scholar working on Statistics and Probability, Critical Care and Intensive Care Medicine and Molecular Medicine, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (4 papers), Statistical Methods and Bayesian Inference (3 papers) and Pneumonia and Respiratory Infections (3 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (304 citations), Statistics and Probability (191 citations) and Applied Microbiology and Biotechnology (46 citations). Maarten Bekaert has collaborated with scholars based in Belgium, Czechia and Denmark. Frequent co-authors include Stijn Vansteelandt, Theis Lange, Johan Decruyenaere, Dominique Benoît, Pieter Depuydt, Gerda Claeskens, Linda Boulanger, K. De Boeck, Gwen Duytschaever and Geert Huys. Their work appears in journals such as Applied and Environmental Microbiology, American Journal of Respiratory and Critical Care Medicine and American Journal of Epidemiology.
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.