Christophe Buyck
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research 3
- COVID-19 Clinical Research Studies 3
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- Computational Drug Discovery Methods 4
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- Protein Structure and Dynamics 2
- Chemical Synthesis and Analysis 2
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- Statistical Methods and Bayesian Inference 2
- Statistical Methods in Clinical Trials 2
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- Monoclonal and Polyclonal Antibodies Research 2
- Co-authors
- Denisa BojkováSandra De MeyerMarnix Van LoockSandra CiesekEllen Van DammeJindřich ČinátlBrian WoodfallIan A. Wilson
- Partner nations
- BelgiumUnited StatesNetherlands
In The Last Decade
Christophe Buyck
15 papers receiving 353 citations
Peers
Comparison fields: 5 of 76
- Infectious Diseases 136
- Computational Theory and Mathematics 81
- Molecular Biology 157
- Epidemiology 78
- Pharmacology 17
Countries citing papers authored by Christophe Buyck
This map shows the geographic impact of Christophe Buyck'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 Christophe Buyck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christophe Buyck more than expected).
Fields of papers citing papers by Christophe Buyck
This network shows the impact of papers produced by Christophe Buyck. 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 Christophe Buyck. The network helps show where Christophe Buyck may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Christophe Buyck, 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 | 2023 | 1 | |
| 2 | 2022 | 12 | |
| 3 | 2022 | 5 | |
| 4 | 2021 | 2 | |
| 5 | 2021 | 28 | |
| 6 | 2020 | 5 | |
| 7 | 2020 | 95 | |
| 8 | 2017 | 120 | |
| 9 | 2017 | 8 | |
| 10 | 2015 | 38 | |
| 11 | 2015 | 2 | |
| 12 | 2014 | 2 | |
| 13 | 2014 | 3 | |
| 14 | 2011 | 28 | |
| 15 | 2008 | 7 |
About Christophe Buyck
Christophe Buyck is a scholar working on Statistics and Probability, Infectious Diseases and Computational Theory and Mathematics, having authored 15 papers that have together received 356 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 Clinical Research Studies (3 papers), Protein Structure and Dynamics (2 papers), Statistical Methods and Bayesian Inference (2 papers), Chemical Synthesis and Analysis (2 papers), Statistical Methods in Clinical Trials (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Infectious Diseases (136 citations), Computational Theory and Mathematics (81 citations) and Molecular Biology (157 citations). Christophe Buyck has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Denisa Bojková, Sandra De Meyer, Marnix Van Loock, Sandra Ciesek, Ellen Van Damme, Jindřich Činátl, Brian Woodfall, Ian A. Wilson, Wim Schepens and Boerries Brandenburg. Their work appears in journals such as Science, Statistics in Medicine and RSC Advances.
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.