Bernard Bouckaert
Impact in
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- Hyperglycemia and glycemic control in critically ill and hospitalized patients
- Diabetes Management and Research
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- Intensive Care Unit Cognitive Disorders
Papers in
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- Sepsis Diagnosis and Treatment 2
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- COVID-19 diagnosis using AI 2
- Radiomics and Machine Learning in Medical Imaging 1
- Co-authors
- Greet Van den Berghe (3 shared papers)Frans Bruyninckx (1 shared paper)Ilse Milants (1 shared paper)Miet Schetz (1 shared paper)Alexander Wilmer (1 shared paper)Pieter Wouters (2 shared papers)Roger Bouillon (1 shared paper)Ingel Demedts (3 shared papers)
- Journals
- Critical Care (2 papers)Diabetes (1 paper)Journal of Clinical Immunology (1 paper)European Respiratory Review (1 paper)Lung Cancer (1 paper)
- Partner nations
- BelgiumUnited StatesItaly
In The Last Decade
Bernard Bouckaert
8 papers receiving 542 citations
Peers
Comparison fields: 5 of 53
- Endocrinology, Diabetes and Metabolism 316
- Critical Care and Intensive Care Medicine 54
- Infectious Diseases 52
- Epidemiology 66
- Nutrition and Dietetics 30
Countries citing papers authored by Bernard Bouckaert
This map shows the geographic impact of Bernard Bouckaert'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 Bernard Bouckaert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernard Bouckaert more than expected).
Fields of papers citing papers by Bernard Bouckaert
This network shows the impact of papers produced by Bernard Bouckaert. 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 Bernard Bouckaert. The network helps show where Bernard Bouckaert may publish in the future.
Co-authors
The 25 scholars most cited alongside Bernard Bouckaert, 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 | 2006 | 398 | |
| 2 | 2020 | 68 | |
| 3 | 2009 | 47 | |
| 4 | 2024 | 29 | |
| 5 | 2015 | 10 | |
| 6 | 2021 | 8 | |
| 7 | 2020 | 2 | |
| 8 | 2008 | 2 | |
| 9 | Comparison of carbon monoxide (CO) monitoring to urine cotinine (COT) analysis to detect tobacco use in lung transplant recipients | 2006 | 0 |
About Bernard Bouckaert
Bernard Bouckaert is a scholar working on Epidemiology, Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism, Infectious Diseases and Surgery, having authored 9 papers that have together received 564 indexed citations. Recurring topics across this work include Hyperglycemia and glycemic control in critically ill and hospitalized patients (2 papers), COVID-19 diagnosis using AI (2 papers), Sepsis Diagnosis and Treatment (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Diabetes Management and Research (1 paper), Advanced X-ray and CT Imaging (1 paper), Intensive Care Unit Cognitive Disorders (1 paper) and Immunodeficiency and Autoimmune Disorders (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (316 citations), Critical Care and Intensive Care Medicine (54 citations), Infectious Diseases (52 citations), Epidemiology (66 citations) and Nutrition and Dietetics (30 citations). Bernard Bouckaert has collaborated with scholars based in Belgium, United States and Italy. Frequent co-authors include Greet Van den Berghe, Frans Bruyninckx, Ilse Milants, Miet Schetz, Alexander Wilmer, Pieter Wouters, Roger Bouillon, Ingel Demedts, K. De Smet and Dieter De Smet. Their work appears in journals such as Critical Care, Diabetes, Journal of Clinical Immunology, European Respiratory Review and Lung Cancer.
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.