Bert De Boeck
Impact in
- Horticulture top 5%
- Cocoa and Sweet Potato Agronomy
- Statistics and Probability top 10%
- Statistical Distribution Estimation and Applications
Papers in
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- Genetics and Plant Breeding 7
- Agricultural Practices and Plant Genetics 5
- Plant Virus Research Studies 3
- Plant Pathogens and Resistance 3
-
- Statistical Distribution Estimation and Applications 4
- Statistical Methods and Bayesian Inference 3
- Co-authors
- Hugo Campos (9 shared papers)J. Pétry (3 shared papers)Wolfgang J. Grüneberg (9 shared papers)Olivier Thas (5 shared papers)Noham Sebaïhi (3 shared papers)J. C. W. Rayner (4 shared papers)Merideth Bonierbale (4 shared papers)Rienk Nieuwland (1 shared paper)
In The Last Decade
Bert De Boeck
22 papers receiving 241 citations
Peers
Comparison fields: 5 of 78
- Horticulture 23
- Statistics and Probability 26
- Plant Science 115
- Food Science 45
- General Agricultural and Biological Sciences 11
Countries citing papers authored by Bert De Boeck
This map shows the geographic impact of Bert De Boeck'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 Bert De Boeck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bert De Boeck more than expected).
Fields of papers citing papers by Bert De Boeck
This network shows the impact of papers produced by Bert De Boeck. 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 Bert De Boeck. The network helps show where Bert De Boeck may publish in the future.
Co-authors
The 25 scholars most cited alongside Bert De Boeck, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 41 | |
| 2 | 2020 | 24 | |
| 3 | 2023 | 19 | |
| 4 | 2020 | 18 | |
| 5 | 2016 | 18 | |
| 6 | 2008 | 17 | |
| 7 | 2021 | 16 | |
| 8 | 2022 | 14 | |
| 9 | 2020 | 13 | |
| 10 | 2021 | 10 | |
| 11 | 2022 | 9 | |
| 12 | 2019 | 8 | |
| 13 | 2009 | 8 | |
| 14 | 2022 | 6 | |
| 15 | 2023 | 6 | |
| 16 | 2010 | 5 | |
| 17 | 2023 | 3 | |
| 18 | 2021 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2011 | 2 |
About Bert De Boeck
Bert De Boeck is a scholar working on Plant Science, Statistics and Probability, Horticulture, Artificial Intelligence and Molecular Biology, having authored 24 papers that have together received 245 indexed citations. Recurring topics across this work include Genetics and Plant Breeding (7 papers), Agricultural Practices and Plant Genetics (5 papers), Cocoa and Sweet Potato Agronomy (4 papers), Statistical Distribution Estimation and Applications (4 papers), Statistical Methods and Bayesian Inference (3 papers), Plant Virus Research Studies (3 papers), Plant Pathogens and Resistance (3 papers) and Genetic and phenotypic traits in livestock (2 papers). The work is most often cited by research in Horticulture (23 citations), Statistics and Probability (26 citations), Plant Science (115 citations), Food Science (45 citations) and General Agricultural and Biological Sciences (11 citations). Bert De Boeck has collaborated with scholars based in Peru, Belgium and Kenya. Frequent co-authors include Hugo Campos, J. Pétry, Wolfgang J. Grüneberg, Olivier Thas, Noham Sebaïhi, J. C. W. Rayner, Merideth Bonierbale, Rienk Nieuwland, Hannele Lindqvist‐Kreuze and Raúl Eyzaguirre. Their work appears in journals such as Crop Science, Measurement Science and Technology, Theoretical and Applied Genetics, Virus Research and Scientific Reports.
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.