Maarten Bekaert
Impact in
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- Nosocomial Infections in ICU
- Statistics and Probability top 2%
- Advanced Causal Inference Techniques
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
Papers in
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- Advanced Causal Inference Techniques 4
- Statistical Methods and Bayesian Inference 3
- Statistical Methods and Inference 3
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- Nosocomial Infections in ICU 3
- Co-authors
- Stijn Vansteelandt (7 shared papers)Theis Lange (1 shared paper)Dominique Benoît (4 shared papers)Johan Decruyenaere (4 shared papers)Gerda Claeskens (2 shared papers)Pieter Depuydt (2 shared papers)Peter Vandamme (2 shared papers)Geert Huys (2 shared papers)
In The Last Decade
Maarten Bekaert
12 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 109
- Critical Care and Intensive Care Medicine 263
- Statistics and Probability 182
- Applied Microbiology and Biotechnology 30
- Molecular Medicine 43
- Pulmonary and Respiratory Medicine 198
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-authors
The 25 scholars most cited alongside Maarten Bekaert, 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 | 2012 | 352 | |
| 2 | 2011 | 269 | |
| 3 | 2010 | 117 | |
| 4 | 2012 | 108 | |
| 5 | 2011 | 96 | |
| 6 | 2008 | 86 | |
| 7 | 2009 | 29 | |
| 8 | 2012 | 7 | |
| 9 | 2009 | 4 | |
| 10 | 2010 | 2 | |
| 11 | EXCESS RISK OF DEATH FROM VENTILATOR ASSOCIATED PNEUMONIA: A REAPPRAISAL USING LONGITUDINAL CAUSAL ANALYSIS | 2009 | 2 |
| 12 | Is there an effect of sow washing on the livestock-associated methicillin-resistant Staphylococcus aureus (MRSA) status or not? | 2011 | 1 |
About Maarten Bekaert
Maarten Bekaert is a scholar working on Statistics and Probability, Critical Care and Intensive Care Medicine, Economics and Econometrics, Infectious Diseases and Small Animals, 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), Statistical Methods and Inference (3 papers), Nosocomial Infections in ICU (3 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Risk and Safety Analysis (1 paper), Pneumonia and Respiratory Infections (1 paper) and Cystic Fibrosis Research Advances (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (263 citations), Statistics and Probability (182 citations), Applied Microbiology and Biotechnology (30 citations), Molecular Medicine (43 citations) and Pulmonary and Respiratory Medicine (198 citations). Maarten Bekaert has collaborated with scholars based in Belgium, Denmark and Norway. Frequent co-authors include Stijn Vansteelandt, Theis Lange, Dominique Benoît, Johan Decruyenaere, Gerda Claeskens, Pieter Depuydt, Peter Vandamme, Geert Huys, Linda Boulanger and Gwen Duytschaever. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, Statistical Methods in Medical Research, Intensive Care Medicine, Critical Care 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.