Bram Gadeyne
Impact in
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- Antibiotic Use and Resistance
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- Nosocomial Infections in ICU
Papers in
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- Pneumonia and Respiratory Infections 3
- Sepsis Diagnosis and Treatment 3
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- Nosocomial Infections in ICU 4
- Co-authors
- Johan Decruyenaere (9 shared papers)Pieter Depuydt (8 shared papers)Liesbet De Bus (6 shared papers)Filip De Turck (4 shared papers)Dominique Benoît (6 shared papers)Geert Claeys (4 shared papers)Jan J. De Waele (4 shared papers)Kirsten Colpaert (4 shared papers)
- Journals
- Critical Care (2 papers)Artificial Intelligence in Medicine (1 paper)Annals of the American Thoracic Society (1 paper)Clinical Chemistry and Laboratory Medicine (CCLM) (1 paper)Journal of Hospital Infection (1 paper)
- Partner nations
- BelgiumNetherlandsAustralia
In The Last Decade
Bram Gadeyne
11 papers receiving 258 citations
Peers
Comparison fields: 5 of 63
- Applied Microbiology and Biotechnology 83
- Critical Care and Intensive Care Medicine 84
- Health Informatics 10
- Molecular Medicine 30
- Health Information Management 26
Countries citing papers authored by Bram Gadeyne
This map shows the geographic impact of Bram Gadeyne'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 Bram Gadeyne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bram Gadeyne more than expected).
Fields of papers citing papers by Bram Gadeyne
This network shows the impact of papers produced by Bram Gadeyne. 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 Bram Gadeyne. The network helps show where Bram Gadeyne may publish in the future.
Co-authors
The 25 scholars most cited alongside Bram Gadeyne, 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 | 2014 | 69 | |
| 2 | 2016 | 52 | |
| 3 | 2018 | 28 | |
| 4 | 2012 | 23 | |
| 5 | 2020 | 22 | |
| 6 | 2016 | 20 | |
| 7 | 2014 | 19 | |
| 8 | 2019 | 14 | |
| 9 | 2014 | 14 | |
| 10 | 2021 | 3 | |
| 11 | 2023 | 1 |
About Bram Gadeyne
Bram Gadeyne is a scholar working on Epidemiology, Critical Care and Intensive Care Medicine, Applied Microbiology and Biotechnology, Infectious Diseases and Surgery, having authored 11 papers that have together received 265 indexed citations. Recurring topics across this work include Nosocomial Infections in ICU (4 papers), Antibiotic Use and Resistance (4 papers), Pneumonia and Respiratory Infections (3 papers), Sepsis Diagnosis and Treatment (3 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Electronic Health Records Systems (2 papers), Machine Learning in Healthcare (2 papers) and Hydrology and Drought Analysis (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (83 citations), Critical Care and Intensive Care Medicine (84 citations), Health Informatics (10 citations), Molecular Medicine (30 citations) and Health Information Management (26 citations). Bram Gadeyne has collaborated with scholars based in Belgium, Netherlands and Australia. Frequent co-authors include Johan Decruyenaere, Pieter Depuydt, Liesbet De Bus, Filip De Turck, Dominique Benoît, Geert Claeys, Jan J. De Waele, Kirsten Colpaert, Jerina Boelens and Femke Ongenae. Their work appears in journals such as Critical Care, Artificial Intelligence in Medicine, Annals of the American Thoracic Society, Clinical Chemistry and Laboratory Medicine (CCLM) and Journal of Hospital Infection.
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.