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 2
- Sepsis Diagnosis and Treatment 2
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- Antibiotic Use and Resistance 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)Kirsten Colpaert (4 shared papers)Geert Claeys (4 shared papers)Jerina Boelens (5 shared papers)
- Journals
- Critical Care (2 papers)Clinical Chemistry and Laboratory Medicine (CCLM) (1 paper)Artificial Intelligence in Medicine (1 paper)Journal of Medical Systems (1 paper)International Journal of Antimicrobial Agents (1 paper)
- Partner nations
- BelgiumNetherlandsAustralia
In The Last Decade
Bram Gadeyne
11 papers receiving 274 citations
Peers
Comparison fields: 5 of 58
- Applied Microbiology and Biotechnology 62
- Critical Care and Intensive Care Medicine 53
- Health Informatics 11
- Health Information Management 26
- Molecular Medicine 19
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 | 76 | |
| 2 | 2016 | 54 | |
| 3 | 2018 | 28 | |
| 4 | 2012 | 27 | |
| 5 | 2020 | 23 | |
| 6 | 2016 | 20 | |
| 7 | 2014 | 19 | |
| 8 | 2014 | 16 | |
| 9 | 2019 | 14 | |
| 10 | 2021 | 3 | |
| 11 | 2023 | 1 |
About Bram Gadeyne
Bram Gadeyne is a scholar working on Epidemiology, Applied Microbiology and Biotechnology, Pharmacology, Artificial Intelligence and Infectious Diseases, having authored 11 papers that have together received 281 indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (4 papers), Pneumonia and Respiratory Infections (2 papers), Machine Learning in Healthcare (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Sepsis Diagnosis and Treatment (2 papers), Streptococcal Infections and Treatments (1 paper), Antifungal resistance and susceptibility (1 paper) and Inhalation and Respiratory Drug Delivery (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (62 citations), Critical Care and Intensive Care Medicine (53 citations), Health Informatics (11 citations), Health Information Management (26 citations) and Molecular Medicine (19 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, Kirsten Colpaert, Geert Claeys, Jerina Boelens, Jan J. De Waele and Rein Houthooft. Their work appears in journals such as Critical Care, Clinical Chemistry and Laboratory Medicine (CCLM), Artificial Intelligence in Medicine, Journal of Medical Systems and International Journal of Antimicrobial Agents.
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.