Maarten Bekaert

1.5k total citations
12 papers, 1.1k citations indexed

About

Maarten Bekaert is a scholar working on Statistics and Probability, Critical Care and Intensive Care Medicine and Epidemiology. According to data from OpenAlex, Maarten Bekaert has authored 12 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Statistics and Probability, 3 papers in Critical Care and Intensive Care Medicine and 3 papers in Epidemiology. Recurrent topics in Maarten Bekaert's work include Advanced Causal Inference Techniques (4 papers), Statistical Methods and Bayesian Inference (3 papers) and Pneumonia and Respiratory Infections (3 papers). Maarten Bekaert is often cited by papers focused on Advanced Causal Inference Techniques (4 papers), Statistical Methods and Bayesian Inference (3 papers) and Pneumonia and Respiratory Infections (3 papers). Maarten Bekaert collaborates with scholars based in Belgium, Czechia and Denmark. Maarten Bekaert's 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 and has published in prestigious journals such as Applied and Environmental Microbiology, American Journal of Respiratory and Critical Care Medicine and American Journal of Epidemiology.

In The Last Decade

Maarten Bekaert

12 papers receiving 1.0k citations

Peers

Maarten Bekaert
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
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Citations per field, relative to Maarten Bekaert
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Citations per year, relative to Maarten Bekaert
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Countries citing papers authored by Maarten Bekaert

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

12 of 12 papers shown
# 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

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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